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Achieving near Zero and Positive Energy Settlements in Europe using
Advanced Energy Technology H2020 - 678407
D4.2 EFFECTIVE MONITORING PROTOCOLS TO BE
IMPLEMENTED IN THE OUTDOOR AREAS OF EACH SETTLEMENT
AND AN OVERALL REPORT ABOUT TECHNICAL DETAILS AND
MOTIVATION OF SELECTED PROCEDURES
Authors: Anna Laura Pisello, Cristina Piselli (UNIPG)
Contributing authors: Christina Georgatou, Denia Kolokotsa, Kostas Kalaitzakis, Kostas Gompakis (TUC), Filippo Ubertini, Franco Cotana, Gloria Pignatta, Veronica Lucia Castaldo, Claudia Fabiani, Ilaria Pigliautile (UNIPG)
D 4.2 Effective monitoring protocols to be implemented in the outdoor areas of each
settlement and an overall report about technical details and motivation of selected procedures
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Deliverable nature: Report Dissemination level: Public Contractual delivery date: May 2016 Delivery date: May 2016 Version: 6.1 Number of pages: 60 Keywords: Monitoring protocols; Technologies energy performance
monitoring; Settlement outdoor microclimate monitoring; Web-GIS monitoring platform; M&V Plan
Lead beneficiary 4 – UNIPG Participating beneficiaries: 1 – UoA
2 – TUM 3 –BGU
4 – UNIPG 5 – OBU 6 – CYI 7 – TUC 8 – ABB
9 – ANERDGY 11 – ARCA
13 – OPAC38 14 – VASSILIOU 15 – CONTEDIL
16 – JRHT
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History of changes
Version Date Change Page 1.1 24.02.2016 1st draft - 1.2 04.03.2016 1st internal review - 2.1 08.03.2016 2nd draft - 2.2 30.03.2016 1st external review - 3.1 14.04.2016 3rd draft - 3.2 22.04.2016 2nd external review - 4.1 26.04.2016 4th draft - 4.2 29.04.2016 Internal review - 5.1 10.05.2016 5th draft for internal review round - 5.2 12.05.2016 Final complete report sent to the coordinator - 5.3 19.05.2016 Revised version by the coordinator - 5.4 20.05.2016 Final complete report to be uploaded 60 6.0 30.06.2017 Updated Italian case study description in section
4.2 (new location is Granarolo dell’ Emilia, old location was Novafeltria, Rimini)
53-55
6.1 25.05.2018 Update to satisfy data protection regulation 53-56
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Executive Summary The second WP4 deliverable D4.2 “Effective monitoring protocols to be implemented
in the outdoor areas of each settlement and an overall report about technical details
and motivation of selected procedures” deals with the results of development of task
T4.2 “Development of monitoring protocols for the specific energy systems and
components at the settlement scale”. The main purposes of the present WP4 task
are:
to critically review existing monitoring protocols and technologies used for
measuring actual energy savings and environmental conditions achieved by
innovative technologies for NZE settlements;
to develop effective and customized monitoring protocols and procedures to
control and optimize environmental conditions of all the case study NZE
settlements;
to develop effective and customized monitoring protocols to measure the
actual (in-situ) energy needs, savings and generation through technologies in
all the case study NZE settlements common spaces.
Therefore, effective and customized monitoring protocols have to be developed,
based on improved existing monitoring protocols and technologies, in order to
measure energy needs and generation and control the environmental conditions in
the outdoor common areas of the four case study settlements.
After a brief description of the deliverable in section 1, section 2 reports the review of
existing internationally available Measurement and Verification (M&V) protocols. In
particular, three M&V protocols have been considered for implementation in the
ZERO-PLUS Project monitoring system, i.e. (i) the International Performance
Measurement and Verification Protocol (IPMVP), (ii) the ASHRAE Guideline 14 on
Measurement of Energy and Demand Savings, and (iii) the M&V protocol specifically
developed for Net Zero Energy Buildings within the IEA SHC/ECBCS Joint Project
Task 40/Annex 52 - Towards Net Zero Energy solar Buildings. Then, the main
technical and operational characteristics of the monitoring procedure implemented in
this project at settlement level are described in section 3.
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Accordingly, section 4 reports a preliminary definition of the M&V Plan used in each
case study settlement, including the description of the settlements layout. Finally, the
main conclusions and future developments of the monitoring protocol adopted in the
ZERO-PLUS project are summarized in section 5, preparing the ground for the
following dedicated WP7.
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Table of Contents Executive Summary .............................................................................................................. 4
Table of Contents .................................................................................................................. 6
List of figures ......................................................................................................................... 7
List of tables .......................................................................................................................... 8
1. Introduction ................................................................................................................... 9
2. Review of existing monitoring protocols and technologies ............................................ 11
3. ZERO-PLUS Project monitoring protocol at settlement scale ........................................ 41
4. Description of the four ZERO-PLUS case study settlements......................................... 52
5. Conclusions and future developments.......................................................................... 57
6. References .................................................................................................................. 59
Annex I................................................................................................................................ 60
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List of figures Figure 1. Process of IPMVP Option selection [4] .................................................................. 21 Figure 2. Path of the whole-facility approach [5] ................................................................... 31 Figure 3. Path of the calibrated simulation approach [5] ....................................................... 32 Figure 4. IPMVP Options implemented in the ZERO-PLUS project at design and ex-post stages ................................................................................................................................. 43 Figure 5. Architecture of a Web based GIS system .............................................................. 50 Figure 6. Screen shot (hypothetical) of the Web-GIS, dashboard/maps and 3D visualization 51 Figure 7. Screen shot (hypothetical) of the Web-GIS, 3D visualization ................................. 51 Figure 8. 3D render of the open spaces in the Cypriot settlement......................................... 53 Figure 9. 3D render of one of the buildings of the Italian settlement with surroundings. ........ 54 Figure 10. 3D render of the open spaces in the French settlement ....................................... 55 Figure 11. 3D view of the open spaces in the English settlement ......................................... 56
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List of tables Table 1. Summary of IPMVP Options [4]............................................................................... 19 Table 2. Different Guideline 14 approaches to determine savings [2] ................................... 30 Table 3. Common sensors for the measurements of energy flows in buildings [6] ................ 35 Table 4. Different monitoring levels with associated IEQ parameters [6] ............................... 36 Table 5. Steps for the implementation of a M&V protocol for Net ZEBs in the planning phase [6] ............................................................................................................................. 38 Table 6. Steps for the implementation of a M&V protocol for Net ZEBs in the installation phase [6] ............................................................................................................................. 39 Table 7. Steps for the implementation of a M&V protocol for Net ZEBs in the operation phase [6] ....................................................................................................................................... 39 Table 8. Technical specifications of the data collection ........................................................ 47
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1. Introduction The aim of this deliverable D4.2 report is to describe the activities carried out within
the framework of WP4 and their main outputs, in order to fulfill task T4.2. In
particular, this deliverable deals with (i) the description of the existing monitoring
protocols and technologies for energy consumption/production and environmental
conditions in outdoor areas, (ii) the development of dedicated monitoring protocols
for the measure of energy needs, savings, and production in the common areas of
the four case study NZE settlements, and (iii) the development of dedicated
monitoring protocols for the assessment of the real microclimate conditions in the
outdoor common areas of the four case study NZE settlements. Furthermore, (iv) the
preparatory activities for the consistent WP7 tasks are presented.
According to the ZERO-PLUS project description in the Grant Agreement, in task
T4.2 a critical analysis of existing monitoring protocols and procedures used in the
partner countries, i.e. UK, Cyprus, France, and Italy, and beyond to verify the energy
performance of energy technologies is carried out. Pros and cons of existing
methods and instruments for settlement monitoring are also evaluated. The
comparative selection of the most suitable systems for the ZERO-PLUS project
purposes is then performed. The proposed monitoring protocols has to take into
account the following requirements: (i) high resolution (five-minute to half-hourly) to
identify variations in energy use, (ii) co-incident analysis to correlate energy use
events against environmental performance, (iii) over a sufficiently long period of time,
typically a season or one year, to isolate seasonal or other effects, and (iv) remotely
monitored data in web-based platforms.
The monitoring protocols have to involve social, microclimate, engineering, and
architectural aspects of the settlement. The main aim of such protocols is to allow a
comparison between design predictions and final performance of the outdoor
environment and innovative technologies in common areas of the four NZE
settlement. Moreover, a Post Occupancy Evaluation (POE), based on physical and
social surveys (quantitative and qualitative), monitoring, and questionnaires, will be
carried out in order to understand occupants’ subjective reactions to objective data of
environmental parameters. Findings from the baseline outdoor monitoring and the
surveys will be analyzed to optimally develop innovative protocols and achieve the
final target in each settlement. Furthermore, specific barriers of major and minor
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impact of the monitoring system will be assessed. To this end, the main objectives of
the present deliverable are:
to critically review existing monitoring protocols and technologies used for
measuring actual energy savings and environmental conditions achieved by
innovative technologies for NZE settlements;
to develop effective and customized monitoring protocols and procedures to
control and optimize environmental conditions of all the case study NZE
settlements;
to develop effective and customized monitoring protocols to measure the
actual (in-situ) energy needs, savings, and generation through technologies in
all the case study NZE settlements common spaces.
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2. Review of existing monitoring protocols and technologies
2.1 Introduction In order to assess the actual performance of buildings with ambitious design energy
performance targets, e.g. Net Zero Energy Buildings, the predicted energy efficiency
needs to be validated through measured data. Therefore, the development of
standard measurement and verification procedures is required. In fact, Measurement
and Verification (M&V) processes are aimed at monitoring and quantifying energy
savings derived from Energy Conservation Measures (ECMs) in buildings and
settlements, i.e. such projects or technologies implemented in order to reduce energy
consumption in buildings. They allow to isolate and evaluate how much energy the
ECM has avoided using, rather than the total cost saved, which can be affected by
several other factors.
In this view, field monitoring becomes a primary step in energy-efficiency projects,
since it allows to observe building and settlements real operation parameters for the
evaluation of systems energy performance. It is not only aimed at controlling building
facilities to ensure suitable comfort conditions, but it fosters energy efficiency by
increasing the awareness of occupants with respect to energy uses, suggesting
energy saving measures to be adopted and evaluating them afterwards. Moreover, it
permits to verify that a buildings and associated energy technologies perform within
design expectations. From this perspective, monitoring results can be used as
evidence to retain or revoke building energy performance labels. Furthermore, it can
also promote the identification of claimed energy efficient design solutions so they
can faster be entered into the market.
Measurements, sampled and recorded at regular intervals, and data post-processing
have to be planned according to the specific case study. Therefore, the elaboration of
a “M&V Plan” is a key part of the process. It enables to define the monitoring
procedure to conduct the energy savings analysis before the ECMs are implemented,
based on ECMs different characteristics.
Various reliable Measurement and Verification protocols are internationally available.
The International Performance Measurement and Verification Protocol (IPMVP) [1] is
one of most widespread and has become the national measurement and verification
standard in the United States and in many other countries. Similarly, the ASHRAE
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Guideline 14 on Measurement of Energy and Demand Savings [2] is a well-known
monitoring protocol. On the other hand, within the IEA SHC/ECBCS Joint Project
Task 40/Annex 52 -Towards Net Zero Energy solar Buildings [3] a M&V protocol has
been developed specifically for Net ZEB.
The three above mentioned existing M&V protocols have been considered for
implementation in the ZERO-PLUS project monitoring system. This monitoring
system will then effectively support the control and optimized operation of the outdoor
environmental conditions (i.e. street lighting, etc.) via the Integrated Resources
Management System that will be installed in the settlements. Therefore, their main
technical and operational characteristics are described in sub-sections 2.2 and 2.3.
Instead, the following sub-section summarized the main general requirements of an
M&V Plan.
2.1.1 M&V Plan requirements A key component of a M&V protocol is the M&V Plan, which has to be shaped based
on the requirements of the specific project. Based on the existing monitoring
protocols indications [1] the main information to be reported in the Plan are as
follows:
Description of the implemented ECMs, their intended results, and the
operational verification procedures that will be used to verify the effectiveness
of each ECM.
Selection of the IPMVP Option that will be used to determine savings and the
measurement boundary of the savings determination. Any possible interactive
effect beyond the measurement boundary, together with their possible effects,
has to be described.
Indication of the baseline conditions within the measurement boundary, i.e. (i)
period, (ii) energy consumption and demand data, (iii) independent variables
and static factors (occupancy and operating conditions) coinciding with the
energy data conditions, (iv) adjustments, (v) characteristics of building
envelope and equipment, and (vi) measurement equipment information. The
baseline documentation typically requires well-documented short term
metering activities.
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Identification of the reporting period.
Definition of a set of conditions to which energy measurements will be
adjusted. The conditions for the basis for adjustment determine whether
savings are reported as avoided energy or as normalized savings.
Description of the exact data analysis procedures, algorithms, and
assumptions to be used in each savings report.
Specification of the energy prices used to value the savings, and whether and
how savings will be adjusted if energy prices change during the ECM or in the
future.
Indication of the metering points and period, if metering is not continuous, and
assignment of responsibilities for reporting and recording during the reporting
period.
Evaluation of the expected accuracy associated with the measurement, data
capture, sampling, and data analysis.
Evaluation of savings uncertainty, a procedure by which the uncertainty of a
measured or calculated value is determined, i.e. the degree of confidence in
the true value when using a measurement and/or calculation procedure.
Definition of the process budget and the required resources, both initial setup
costs and on-going costs throughout the reporting period.
Description of results report format and quality-assurance procedures that will
be used for savings reports.
Furthermore, a definition table of the terms used has to be added at the beginning of
the Plan.
2.2 International Performance Measurement and Verification Protocol (IPMVP)
2.2.1 Objectives The International Performance Measurement and Verification Protocol (IPMVP) is
owned by the Efficiency Valuation Organization (EVO), a non-profit corporation that
was born under the initiative by the United States Department of Energy to develop
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an international monitoring and verification protocol. In fact, the IPMVP was
developed by a coalition of international organizations led by the U.S. Department of
Energy and it was first published in 1996, under the name North American Energy
Measurement and Verification Protocol(NEMVP).
Such protocol involves currently available techniques for verifying results of (i) energy
efficiency, (ii) water efficiency, and (iii) renewable energy projects in commercial and
industrial facilities. It is also used by facility operators to assess and improve facility
performance. Therefore, Energy Conservation Measures (ECMs) considered for the
energy saving analysis in the IPMVP include fuel saving measures, water efficiency
measures, load shifting and energy reductions through installation or retrofit of
equipment, and/or modification of operating procedures.
The main purpose of the protocol is to increase investment in energy and water
efficient and renewable energy solutions. Therefore, it aims at (i) increasing certainty,
reliability, and level of savings, (ii) reducing transaction costs by providing an
international, industry consensus approach and methodologies, and (iii) reducing
financing costs by providing a project with a Measurement and Verification Plan
(M&V Plan) standardization. Furthermore, it provides a basis for demonstrating
emission reduction and delivering enhanced environmental quality and a basis for
negotiating the contractual terms to ensure that an energy efficiency project achieves
or exceeds its goals of saving money and improving energy efficiency.
2.2.2 Characteristics The Core Concepts of IPMVP are detailed in EVO 10000 – 1:2014 [4] It reports the
key principles used to assess the adherence of a M&V process to IPMVP, which are
as follows.
Accuracy: the protocol has to be as accurate as possible based on the project
value. Accuracy trade-offs have to be justified by increased conservativeness
and increased use of estimates and judgments. Furthermore, costs should be
lower with respect to the monetary value of the savings being evaluated and
they should be consistent with the financial implications of the project
performance.
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Completeness: measurements have to quantify the significant effects of the
project and the report of energy savings should consider all effects.
Conservativeness: as above mentioned for accuracy, the procedure has to be
designed to underestimate savings, where judgments are made about
uncertain quantities.
Consistency: the report of project energy effectiveness should be consistent
with different energy efficiency and new energy supply projects, different
energy management professionals, different periods of time for the same
project.
Relevancy: the critical and less predictable performance parameters for the
specific project aims have to be estimated.
Transparency: all the M&V activities have to be clearly disclosed, including
the presentation of the elements defined in the M&V Plan and in the report,
respectively.
2.2.3 IPMVP Options Different Options are provided within IPMVP for developing and implementing a M&V
process and, therefore, different methods for determining energy savings. The Option
choice depends of various considerations, based on the specific project (Figure 1). In
particular, the location of the ECM measurement boundary is a key parameter to be
taken into account. Four different Options, i.e. A, B, C, and D, are provided. If
savings are determined at the facility level, Option C or D may be favored. However,
if only the performance of the ECM is considered, a retrofit-isolation technique is
more suitable (Option A, B, or D). Table 1 summarizes the four Options that are
described as follows.
Option A - Retrofit Isolation: Key Parameter Measurement
Retrofit isolation is used when retrofits affect only a portion of the facility and,
therefore, measurement boundary can be reduced in order to decrease the
effort required to monitor independent variables and static factors. Since
measurement is of only a part of the facility, the results of retrofit isolation
techniques cannot be correlated to the facility total energy use. In Option A,
savings are determined by field measurement of the sole key performance
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parameters which define the energy use of systems affected by ECMs and/or
the success of the project. Not-measured parameters during field
measurement are estimated. Estimates can be based on historical data,
manufacturer’s specifications, or engineering judgment. Documentation of the
source or justification of the estimated parameter is required.
Parameters may be continuously or periodically measured for short periods.
The decision of whether to measure continuously or periodically is based on
the expected amount of variation in the parameter. If measurement is not
continuous, meters may be removed between readings. The location of the
measurement and the characteristics of the measurement devices have to be
described in the M&V Plan, along with the procedure for calibrating the meter
being used. Portable meters may be used if only short-term metering is
needed.
Option A is best applied where (i) estimation of non-key parameters may
avoid possibly difficult non-routine adjustments when future changes happen
within the measurement boundary, (ii) uncertainty created by estimations is
acceptable, (iii) continued effectiveness of the ECM can be assessed by
simple routine re-testing of key parameters, (iv) estimation of some
parameters is less costly than measurement of them or simulation, (v) key
parameters used to judge a project performance in computing savings can be
readily identified. A typical application is lighting retrofit where the power
drawn can be monitored and hours of operation can be estimated.
Option B - Retrofit Isolation: All Parameter Measurement
Option B is similar to Option A, but savings are determined by field
measurement of all key performance parameters which define the energy use
of the ECM-affected system.
Energy savings created by most types of ECMs can be determined with
Option B. However, the degree of difficulty and costs increase as metering
complexity increases. Option B methods is generally more difficult and costly
than those of Option A, but it will produce more certain results where load or
savings patterns are variable. Additional costs may be justifiable if a
contractor is responsible for factors affecting energy savings.
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Option B is best applied where (i) meters added for isolation purposes will be
used for other purposes such as operational feedback or tenant billing, (ii)
measurement of the parameters is less costly than simulation, (iii) savings or
operations within measurement boundary are variable. A typical application is
lighting retrofit where both power drawn and hours of operation are recorded.
Option C - Whole-Facility
Option C involves the use of utility meters, whole-facility meters, or sub-
meters to assess the energy performance of a total facility. The measurement
boundary encompasses either the whole facility or a major section. Therefore,
the collective savings of all ECMs applied to the part of the facility monitored
by the energy meter are determined. Also, since whole-facility meters are
used, savings reported include the positive or negative effects of any non-
ECM changes made in the facility. This approach is likely to require a
regression analysis or similar to account for independent variables, e.g.
outdoor air temperature.
Whole-facility energy measurements can use the utility meters, whose data
are considered 100%accurate for determining savings because it defines the
payment for energy. Also, separate meters can be installed to measure
whole-facility energy. The accuracy of these meters should be considered in
the M&V Plan, together with indications on how to compare its readings with
the utility meter readings.
Option C is best applied where (i) energy performance of the whole facility will
be assessed, not just the ECMs, (ii) there are many types of ECMs in one
facility, (iii) ECMs involve activities whose individual energy use is difficult to
separately measure, (iv) savings are large compared to the variance in the
baseline data, during the reporting period, (v) retrofit-isolation techniques
(Option A or B) are excessively complex, (vi) significant future changes to the
facility are not expected during the reporting period, (vii)) system of tracking
static factors can be established to enable possible future non-routine
adjustment, (viii) reasonable correlations can be found between energy use
and other independent variables. Typical examples may include
measurement of a facility where several ECMs have been implemented, or
where the single ECM is expected to affect all equipment in a facility.
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Option D - Calibrated Simulation
Option D involves the use of computer simulation software to predict the
energy use of the whole facility, or of a sub-facility. Simulation routines are
demonstrated to adequately model actual energy performance measured in
the facility. However, the simulation model must be calibrated so that it
predicts an energy pattern that approximately matches actual metered data.
Option D may be used to assess the performance of ECMs in the whole
facility, alike to Option C. Moreover, simulation tool used in Option D allows to
estimate the savings attributable to each ECM within a multiple ECM project.
Also, Option D may also be used to assess just the performance of individual
systems within a facility, as Options A and B.
Whole-building-simulation software with hourly calculation techniques may be
used. On the other hand, simplified HVAC system models may also be used if
building heat losses, heat gains, internal loads, and HVAC systems are
simple. Also, other special-purpose programs may be used to simulate
energy use and operation of devices or industrial processes. Calibration of
building simulations is usually done with twelve monthly utility bills, which
should be from a period of stable operation. The software and the calibration
procedure and data, along with a description of its sources, should be
documented in the M&V Plan.
Therefore, savings are determined using calibrated simulation results
representing the baseline energy or there porting-period energy. For projects
with a physical baseline, the two calibrated models include one with the
ECMs and one without them.
Option D is usually used where no other option is feasible. It is best where (i)
either baseline energy data or reporting period energy data, but not both, are
unavailable or unreliable, (ii) there are too many ECMs to assess using
Options A or B, (iii) ECMs involve diffuse activities, which cannot easily be
isolated from the rest of the facility, such as operator training or wall and
window upgrades, (iv) performance of each ECM will be estimated
individually within a multiple ECM project, but the costs of Options A or B are
excessive, (v) interactions between ECMs or ECM interactive effects are
complex, making the isolation techniques of Options A and B impractical, (vi)
upcoming significant changes to the facility are expected during the reporting
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period, with no accounting for the energy use or impact, (vii) experienced
energy simulation professional is able to gather appropriate input data to
calibrate the simulation model, (viii) facility and ECMs can be modeled by
well-documented simulation software, (ix) simulation software predicts
metered calibration data with acceptable accuracy, (x) twelve months of
performance is measured, immediately following installation and
commissioning of the energy management program. Typical applications may
include measurement of a facility where several ECMs have been
implemented, but no historical energy data is available.
Table 1. Summary of IPMVP Options [4]
IPMVP Option How Savings Are Calculated Typical Applications A. Retrofit Isolation: Key Parameter Measurement Savings are determined by field measurement of the key performance parameter(s), which define the energy use of the ECM's affected system(s) or the success of the project. Measurement frequency ranges from short-term to continuous, depending on the expected variations in the measured parameter, and the length of the reporting period. Parameters not selected for field measurements are estimated. Estimates can be based on historical data, manufacturer's specifications, or engineering judgment. Documentation of the source or justification of the estimated parameter is required. The plausible savings error arising from estimation rather than measurement is evaluated.
Engineering calculation of baseline and reporting period energy from short-term or continuous measurements of key operating parameter(s) and estimated values. Routine and non-routine adjustments as required.
A lighting retrofit where: - Power draw is the key
performance parameter that is measured periodically;
- lighting operating hours are estimated based on facility schedules and occupant behavior.
B. Retrofit Isolation: All Parameter Measurement Savings are determined by field measurement of the energy use of the ECM affected system. Measurement frequency ranges from short-term to continuous, depending on the expected variations in the savings and the length of the reporting period.
Short term or continuous measurements of baseline and reporting period energy, or engineering computations using measurements of proxies of energy uses. Routines and non-routine adjustments as required.
Application of a variable speed drive and controls to a motor to adjust pump flow. Measure electric power with a kW meter installed on the electrical supply to the motor, which reads the power every minute. In the baseline period this meter is in place for a week to verify constant loading. The meter is in place throughout the reporting
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period to track variations in power use.
C. Whole-Facility Savings are determined by measuring energy use at the whole facility or sub-facility level. Continuous measurements of the entire facility's energy use are taken throughout the reporting period.
Analysis of whole facility baseline and reporting period (utility) meter data. Routine adjustments as required, using techniques such as simple comparison or regression analysis. Non-routine adjustments as required.
Multifaceted energy management program affecting many systems in a facility. Measure energy use with the gas and electric utility meters for a twelve-month baseline period and throughout the reporting period.
D. Calibrated Simulation Savings are determined through simulation of the energy use of the whole facility, or of a sub-facility. Simulation routines are demonstrated to adequately model actual energy performance in the facility. This option usually requires considerable skill in calibrated simulation.
Energy use simulation, calibrated with hourly or monthly utility billing data. (Energy end use metering may be used to help refine input data).
Multifaceted energy management program affecting many systems in a facility, but where no meter existed in the baseline period. Energy use measurement, after installation of gas and electric meters, is used to calibrate a simulation. Baseline energy use, determine during the calibrated simulation, is compared to a simulation ofreporting period energy use.
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Figure 1. Process of IPMVP Option selection [4]
2.2.4 Implementation and operation Before the savings verification activities, a low-cost initial step for realizing savings
potential is the operational verification. Different operational verification methods
exist and the selection depends on the ECM's characteristics, as following listed:
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Visual Inspection: view and verify the physical installation of the ECM. It is
used when ECM will perform as anticipated when properly installed: direct
measurement of ECM performance is not possible.
Sample Spot Measurements: measure single or multiple key energy (use
parameters for a representative sample of the ECMs installation). It is used
when achieved ECM performance can vary from published data based on
installation details or component load.
Short-Term Performance Testing: may involve conducting test designed to
capture the component operating over its full range or performance data
collection over sufficient period of time to characterize the full range of
operation. It is used when ECM performance may vary depending on actual
load, controls or interoperability of components. Test for functionality and
proper control. Measure key energy use parameters.
Data Trending and Control-Logic Review: set up trends and review data or
control logic. Measurement period may last for a few days to a few weeks,
depending on the period needed to capture the full range of performance. It is
used when ECM performance may vary depending on actual load and
controls. Component or system is being monitored and controlled through
BAS or can be monitored through independent meters.
Concerning savings verification, they may be determined for an entire facility or
simply for a portion of it, depending upon the purposes of the reporting.
If the purpose of reporting is to help manage only the equipment affected by
the savings program, a measurement boundary should be drawn around that
equipment and significant energy requirements of the equipment can be
determined within the boundary. The approach used is the retrofit-isolation
option. Determination of savings may be by direct measurement of energy
flow or by direct measurement of proxies of energy use.
If the purpose of reporting is to help manage total facility energy performance,
the meters measuring the supply of energy to the total facility can be used to
assess performance and savings. The measurement boundary in this case
encompasses the whole facility (Option C).
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If baseline or reporting period data are unreliable or unavailable, energy data
from a calibrated simulation program can take the place or the missing data,
for either part or all of the facility (Option D).
If some of the energy requirements of the systems or equipment being
assessed arise outside a practical measurement boundary, only significant
energy effects of the ECMs should be determined from measurements, the
rest being estimated or ignored.
Any energy effects occurring beyond the notional measurement boundary are
called interactive effects or leakages. The magnitude of these interactive
effects needs to be estimated or evaluated in order to determine their
influence in energy savings.
The baseline measurement period has to be selected within the period immediately
before commitment to undertake the retrofit and in order to represent a full operating
cycle, from maximum energy use to minimum, of the facility. Moreover, it has to
include only time periods for which fixed and variable energy-governing facts are
known about the facility. Similarly, the reporting period should consider at least one
normal operating cycle of the equipment or facility, in order to fully characterize the
savings effectiveness in operating modes. The length definition should take into
account the life of the ECM and the probability of degradation of originally achieved
savings over time. Some projects may stop reporting savings after a defined test
period ranging from an instantaneous reading to a year or two. On the other hand,
metering may be left in place after the reporting period to provide feedback of
operating data for routine management purposes and specifically to detect
subsequent adverse changes in performance. When an ECM can be turned on and
off easily, baseline and reporting periods may be selected that are adjacent to each
other in time (on/off test).
Finally, the adjustment terms, which are used to modify the measured energy data to
reflect the same set of conditions as the baseline term, should be computed from
identifiable physical facts about the energy governing characteristics of equipment
within the measurement boundary. Two types of adjustments are possible:
Routine adjustments: for any energy governing factors expected to change
routinely during the reporting period, e.g. weather. Valid mathematical
techniques must be used to derive the adjustment method.
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Non-routine adjustments: for those energy governing factors which are not
usually expected to change, e.g. facility size, type of occupants, etc. The
associated static factors must be monitored for change throughout the
reporting period.
2.3 ASHRAE Guideline 14 on Measurement of Energy, Demand, and Water Savings
2.3.1 Objectives Guideline 14 [5] was developed by ASHRAE (American Society of Heating,
Refrigerating and Air-conditioning Engineers) in 2002 and, then, updated in 2014to fill
a need for a standardized set of energy, demand, and water savings calculation
procedures. The intent is to provide guidance on minimum acceptable levels of
performance for determining energy, demand, and water savings, using
measurements, in commercial transactions. ASHRAE Guideline 14 is used for
transactions between energy service companies (ESCOs) and their customers and
between ESCOs and utilities, where the utilities have elected to purchase energy
savings. Other applications of ASHRAE Guideline 14 may include documenting
energy savings for various credit programs, e.g. emission reduction credits
associated with energy efficiency activities. Determining savings with measurements
in accordance with this guideline involves measuring post-retrofit energy use and
comparing that to the measured pre-retrofit use, adjusted or normalized, to act as a
proxy for the conditions that would have prevailed had the retrofit not been
performed. Therefore, determining energy savings through the use of measurements
involves more than just verifying that new equipment has been installed and can
function as expected, although those tasks are usually a necessary part of
determining savings. In addition, energy savings cannot be claimed to be “measured”
if no pre-retrofit data are available. Sampling is often used in projects involving end-
use monitoring or what we call the “retrofit isolation approach.”
ASHRAE Guideline 14 may be used to measure the energy savings from a utility
sponsored or contracted multiple-building energy conservation project. Also
procedures to calculate the added uncertainty due to sampling is given. The
document provides procedures for using measured pre-retrofit and post-retrofit billing
data for the calculation of energy, demand, and water savings. Therefore, the
procedure (i) includes the determination of savings from individual facilities or meters,
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(ii) applies to all forms of energy, including renewables and wastewater, and (iii)
encompasses all types of facilities: residential, commercial, institutional, and
industrial.
2.3.2 Characteristics Firstly, the general procedure of the ASHRAE Guideline 14 involves the selection of
relevant independent variables that directly or indirectly determine the energy use or
demand of the system and which change during the baseline and/or post-installation
period. The most significant independent variables must be identified, measured over
the periods of interest, and then considered in any savings computation. For
instance, the main significant independent variables are weather, occupancy, and
production level. The measurement methodology, the duration, and frequency of
measurements of independent variables depends on the availability of the data, the
fraction of expected savings, and the desired level of uncertainty in determining
savings.
Then, the baseline period has to be selected including data across the full range of
expected operating conditions, modes, and independent variables. Where possible,
the baseline operating conditions should be similar to the expected operating
conditions for the post-retrofit period, to minimize bias or error from unaccounted for
factors. Therefore, the baseline period is typically the period immediately before the
retrofit and should represent one or more complete operating cycles. During the
baseline period, all baseline conditions has to be documented which include all of the
parameters that can affect the energy use of systems inside the measurement
boundary, including both independent variables and static factors, e.g. plants,
space/volume, process loads, etc.
On the other hand, the duration of the post-retrofit measurements of the variables
used in calculating savings has to be selected in order to measure over a period of
time that is sufficient to (i) encompass all operating modes of the retrofitted
system(s), (ii) span the full range of independent variables normally expected for the
reporting period, and (iii) provide the intended level of certainty in the reported
savings. Also, the number, type, end-to-end accuracy, and cost of the measurement
equipment has to be selected and documented in the detailed M&V plan. All meters
for measuring energy use, demand or independent variables introduce error. Meter
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error can be a significant factor affecting the uncertainty in computed savings. The
number and location of the measurement devices also influences the level of
uncertainty. Moreover, measurement equipment used should be calibrated prior to
use and recalibrated at the intervals recommended by the manufacturer.
Considering the calculation procedure, it has to be taken into account that conditions,
such as weather and usage, that govern energy use or demand are usually different
between the baseline and post-retrofit periods. Therefore, measured use and
demand must be normalized to a common set of conditions in order to report savings
properly. The changes in conditions can be either routine or non-routine. Routine
adjustments are the adjustments that are expected to occur frequently during the
reporting period, while non-routine adjustments are due to changes to static factors
that affect the energy use of the systems inside the measurement boundary. Weather
data are the most common independent variable affecting energy use and demand.
Weather data include a wide variety of measurements and observations, but the
most common parameters that affect energy use are outdoor air temperature and
humidity. Solar radiation and/or cloud cover, wind speed, and direction can affect
building energy use and are more commonly used to evaluate the performance of
renewable energy measures. Precipitation can be also an important variable.
Accurate and consistent measurement and observations of weather conditions are
critical. Data obtained from government weather stations are considered to be very
reliable, but the limited number of government weather stations and the variations in
microclimates may justify the use of on-site instrumentation.
Finally, the guideline presents simplified methods of assessing the quantifiable
uncertainty in savings computations. Three primary sources of quantifiable
uncertainty are considered, i.e. (i) sampling uncertainty, (ii) measurement equipment
error, and (iii) modeling uncertainty. Other types of uncertainty are not quantifiable,
which include systematic errors, such as human errors and errors of technique, and
additional random or accidental errors, such as errors of judgment and changes in
conditions. Overall savings uncertainty is estimated by considering sample size,
measurement error, modeling uncertainty, length of the savings determination period,
and fraction of baseline energy saved. The estimation procedure can be summarized
as follows:
adjust the measurement and modeling uncertainties to a common confidence
interval;
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use the equations given in the guideline in order to match the confidence
levels used in assessing the measurement and modeling uncertainties;
report the confidence level with the uncertainty;
uncertainty associated with any baseline adjustments shall be included by
treating it as part of the error in post-retrofit energy use measurements.
When planning a retrofit project, a target savings uncertainty level should be
established. Guideline equations can then be used to evaluate feasible combinations
of model error, instrument error, sample size, post-retrofit period length, and
expected savings fraction. The costs of feasible combinations of savings
determination characteristics can be evaluated to find the lowest cost means of
achieving the target uncertainty.
2.3.3 Implementation and operation ASHRAE Guideline 14 presents three basic approaches for determining savings and
advises on appropriate application of each. No one way can be used in all situations,
but the selected approach must be tailored to suit each project budget and its need
for certainty and timeliness. This guideline defines terms to help reduce uncertainty
and control the costs of assessing an ECM performance.
The three approaches to determining savings use similar concepts in savings
computation. They differ in how they measure actual energy use and demand
quantities to be used in savings determination. The general methodology to be
carried out in all the different approaches is summarized as follows:
i. Prepare a measurement and verification plan, showing the compliance path,
the metering and analysis procedures, and the expected cost of implementing
the measurement and verification plan throughout the post-retrofit period.
ii. Measure the energy use and/or demand before the retrofits are applied
(baseline). Record factors and conditions that govern energy use and
demand.
iii. Measure the energy use and/or demand after the retrofits are applied (post-
retrofit period). Record factors and conditions that govern post-retrofit period
use and demand.
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iv. Project the baseline and post-retrofit period energy use and demand
measurements to a common set of conditions. These common conditions are
normally those of the post-retrofit period, so only baseline period energy use
and demand need to be projected.
v. Subtract the projected post-retrofit period use and/or demand from the
projected baseline period use and/or demand to calculate the savings. Unless
the whole building prescriptive path is followed, assess and report the level of
uncertainty in the annual savings report.
As also summarized in Table 2, the three approaches are [2] :
Retrofit Isolation Approach
The retrofit isolation approach measures the energy use and relevant
independent variables of the individual systems and equipment affected by
the retrofit. The retrofit isolation approach should be used when the whole
building approach is not appropriate and the savings in question can be
determined by measurements taken at a specific equipment item or
subsystem. Measurements of baseline and post-installation energy are
required. The duration of the measurements must be sufficient to capture the
full range of operating conditions. Normalization of the measured energy use
is usually required to account for differences in the operating conditions and
to extrapolate measurements taken over a short period of time to represent
annual energy use. The measurements may be normalized to the conditions
during the baseline period or the actual post-installation operation conditions.
If neither baseline nor post-installation conditions are representative of typical
operating conditions, it may be necessary to define and use “normal”
operating conditions. Both inverse methods and calibrated component
simulations may be used to normalize savings. Savings are determined by
comparing the normalized baseline and post-installation energy use. Savings
derived from isolated and metered systems may be used as the basis for
determining savings in similar but unmetered systems within the same facility,
provided they are subjected to similar operating conditions throughout the
baseline and post-retrofit periods.
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Whole-Facility Approach
The whole-facility approach, also called main meter approach, uses the
measured energy use of a building or an entire facility to determine savings. It
encompasses procedures that verify the performance of the retrofits for those
projects where whole building pre- and post-retrofit data are available to
determine the savings. The building or facility energy use may be measured
by the utility meter or by a separate sub-meter for the building or buildings to
be evaluated. Consumption and demand values taken from sub-meters are
acceptable for use under the whole building approach, where the meter
measures energy use of a significant portion of the building area or a group of
subsystems. The data shall meet all the requirements as for a utility meter. It
is most appropriate to use a whole building approach when the total building
performance is to be calculated, rather than the performance of specific
retrofits. There are two paths for the whole building approach, each having
certain criteria and requirements for applicability. This approach may involve
the use of monthly utility billing data or data gathered more frequently from
the utility meter or existing sub-meters. Data regarding other statistically
significant independent variables, such as weather, must be collected during
the same period. If weather data are not available from an on-site source,
data collected by government weather stations may be used. A baseline
model of facility energy use as a function of the independent variables is
developed using inverse methods. The model is validated to ensure it is
representative of baseline conditions. Savings are determined by comparing
the baseline energy use calculated using the baseline model and the
measured post-installation values of the independent variables with the
measured post-installation energy use. The path to be followed in this
approach is reported in Figure 2.
Whole-Building Calibrated Simulation Approach
This approach refers to computer-based simulation of whole building energy
use behavior. The approach involves the use of a computer simulation tool to
create a model of energy use and demand of the facility. This model, which is
typically of pre-retrofit conditions, is calibrated against actual measured
energy, demand, and/or water consumption data. In some cases, additional
data regarding the operation of the building and/or the energy use of specific
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systems or loads are used to refine and calibrate the model. The calibrated
model is then used to determine the energy use, demand, and/or water use of
the post-retrofit conditions. Simulations of existing buildings are usually
calibrated against baseline data and then used to determine post-installation
energy use. In cases where baseline data do not exist, the simulations are
calibrated after implementation, and the calibration adjustments are applied to
the baseline model. Calibrating a simulation model to baseline and post-
installation measurements is not recommended because it is difficult to
determine which post-installation calibration adjustments should be applied to
the baseline model. Savings are determined by comparing the calibrated
baseline and post-installation models. This technique is especially applicable
to accounting for multiple energy end-uses, especially where interactions
occur between measures. Additionally, this technique is useful for situations
where baseline shifts may be encountered and where future energy impacts
may need to be accessed. The path to be followed in this approach is
reported in Figure 3.
Table 2. Different Guideline 14 approaches to determine savings [2]
Approach Measurement Boundary
Measurements Required Analysis Methods
Retrofit isolation
Equipment or systems affected by retrofit
- Baseline energy use - Post-installation energy
use - Significant independent
variables
- Inverse methods; include regression analysis
- Calibrated component model
Whole-facility metering
Building or facility - Baseline energy use - Post-installation energy
use - Significant independent
variables
- Inverse methods; include regression analysis
Calibrated simulation
Building or facility - Baseline energy use OR post-installation energy use
- Significant independent variables
- Building simulation models
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Figure 2. Path of the whole-facility approach [5]
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Figure 3. Path of the calibrated simulation approach [5]
2.4 Measurement and Verification (M&V) protocol for Net ZEBs 2.4.1 Objectives
A dedicated Measurement and Verification protocol for Net Zero Energy Buildings
has been developed within the Joint Project SHC/ECBCS Task 40/Annex 52 -
Towards Net Zero Energy Solar Buildings of the International Energy Agency (IEA).
The technical report of STA of Task 40 is aimed at developing guidelines for the
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planning, implementation, and data evaluation for Net ZEB monitoring [6] Such
protocol is focused on the energy performance and indoor environmental conditions
of a single building.
The M&V for Net ZEB has the main purpose to verify that designed Net ZEBs
achieve the target in practice. Although different Net ZEB definitions exist, which
require different metrics and monitoring parameters, each definition can be translated
into a balance. Therefore, checking that a building is in compliance with the Net ZEB
definition requires to measure the energy flows crossing the physical and balance
boundaries involved in the definition. On the other hand, the achievement of the zero
balance should also guarantee that Indoor Environmental Quality (IEQ) is provided.
In fact, the risk in Net ZEB is that IEQ requirements are sacrificed in order to reduce
energy consumption. Therefore, two sets of parameters have to be monitored for the
verification of the Net Zero Energy target, i.e.(i) the energy flows occurring from, to
and within the building and (ii) a range of IEQ indicators aimed at verifying the net
zero balance and comfort conditions in the building.
The IEQ monitoring is based on existing standards for indoor thermal environmental
like the ASHRAE Standard 55-2013 [7] , the EN ISO 7730:2005 [8] , the EN
15251:2007 [9] , or the ASHRAE Standard 189.1:2014 [10] .
The present monitoring protocol has been already implemented within the above
mentioned project in various Net ZEB around the world.
2.4.2 Characteristics The present monitoring protocol applies the whole building monitoring approach.
Three phases, i.e. planning, installation, and operation of the monitoring system, are
involved in the process. They will be defined in the following sub-section. Within the
protocol, the following steps are particularly relevant for the assessment of Net ZEB:
Collection of building data;
Definition of monitoring boundaries;
Selection of metrics and relevant data required;
Selection of data frequency and duration of measurements;
Identification of suitable sensors and data acquisition system;
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Final planning of the monitoring equipment and installation;
Definition and implementation of data post-processing (e.g. performance
indicators);
Definition of a standard reporting.
The monitoring boundaries depend on the physical and balance boundaries set in the
Net ZEB definition. Generally, the core element of a definition is the weighted
balance between exported and delivered energy, therefore, the focus is on the
interface between the building and the grids. Also, the metrics useful to check the
balance referred to the flow entering and exiting the building boundaries, has to be
included in the monitoring. The accuracy, frequency, and the duration (spot, short or
long measurements) of the measurements depend, among other factors, on the type
of parameters to be measured and on the additional analysis to be carried out (e.g.
improvement of system performance, IEQ assessment). The duration of monitoring is
a relevant parameter to be taken into account, given its association with weather
conditions and seasonality. To have a clear idea of Net ZEB performance and
possible malfunctioning, it is recommended to monitor for at least two years.
Depending on the information needed and the associated requirements and
acceptable cost, sensors and data acquisition system can be identified.
Concerning the data collection, as above mentioned two sets of parameters needs to
be monitored, i.e. energy flows for the building energy balance and IEQ parameters.
Among balance calculations for the energy flows monitoring, two main types are
commonly used:
Load/generation: typically performed during the design phase, more complex
for monitoring.
Imported/exported: more common during field monitoring, depends if all
energy uses are included in considered Net ZEB definition.
Furthermore, based on the considered Net ZEB definition, the balance must be
calculated on primary energy or carbon emission equivalents. Also the frequency of
data recording and the indexes to be evaluated depend on the definition. Different
applicable measurement durations to monitoring are as follows:
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Spot measurements: very short duration. Useful for constant metrics or to
detect instantaneous conditions. Can be repeated to gather information of
trend over time.
Short-time measurements: short duration, e.g. weeks. For both sub-metering
and whole building approach to provide information about time-dependent
behaviors.
Long-time measurements: spanning for more than a year. Useful to assess
metrics influenced by weather variations, user behaviors or operating
conditions.
A wide variety of sensors is available for the measurement of energy flows, which are
selected depending on the specific case study characteristics, budget, and expected
results. The metering technologies usually used for the monitoring of energy flows
within a building are summarized in Table 3.
Table 3. Common sensors for the measurements of energy flows in buildings [6]
Type of meter Technique Electricity Electronic meters
Electromechanical induction meters Gas Positive displacement flowmeters: diaphragm or bellows meters
Coriolis flowmeters Thermal mass flowmeters
Solid flow Conveyor based methods Free fall solid measurement Detectors of the level of solids in tanks (radar, microwaves, acoustic sensors)
Liquid flow Electromagnetic flowmeters Ultrasonic flowmeters Vortex-shedding flowmeters Differential pressure (obstruction-type) meters: orifice plate, Venturi tube, flow nozzle and Dall flow tube, Pitot static tube Turbine meters
Heating and cooling Liquid flowmeters Temperature sensors: - Thermoelectric effect sensors (thermocouple) - Varying resistance devices: resistance thermometers,
thermistors
Instead, IEQ monitoring is aimed at verifying that acceptable level of comfort has not
been sacrificed in order to reduce energy consumption. Additionally, these
measurements are needed for adjustment purposes to be able to compare
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consumption with the design values and detect malfunctioning. The accuracy of IEQ
monitoring depends on the specific goals (e.g. alignment process, control and
optimized operation of indoor environmental quality and comfort) and the budget
available. Selecting few relevant parameters allows to equip a greater number of
points, while more parameters provides a more detailed image. Table 4 shows an
overview of possible monitoring levels.
Table 4. Different monitoring levels with associated IEQ parameters [6]
Level 1 - Basic Monitoring
Level 2 - Advanced Basic Monitoring
Level 3 - Detailed Monitoring
Level 4 - Advanced Detailed Monitoring
- Indoor air temperature
- Outdoor air temperature
- Global irradiation
Level 1 plus: - Indoor humidity - Operative
temperature
Level 2 plus: - Indoor air velocity - CO2 concentration - Outdoor humidity
Level 3 plus: - Volatile organic
compounds (VOC) - Daylight factor/
Useful daylight index (UDI)
- Mean radiant temperature
- Global and diffuse solar radiation
- Wind speed and direction
Also, Post Occupancy Evaluation (POE) questionnaires can be a useful tool to
assess IEQ when coupled with measurements.
After the data collection, the post-processing is used to investigate the fulfillment of
the balance as well as additional conditions and possible relationships among
variables. To compare the measured consumption with the design values the
alignment procedure is suggested to take into consideration indoor and outdoor
conditions different than assumed. Detailed analysis for thermal energy and
electricity should be performed to characterize performance and possibly implement
corrective measures. For thermal energy is common to present the dependency with
external variables, while for electricity the breakdown for different areas of the
building and/or the consumption distribution between lighting, technical equipment,
and plug loads. For comfort assessment, depending on whether the building is
conditioned or not different comfort assessment methods should be used. The most
commonly used are the ASHRAE comfort zones based on the psychrometric chart,
the adaptive comfort, and the Givoni comfort zones. Additionally, CO2 is often
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monitored. Finally, a standard report, including data analysis and data visualization,
must be prepared and disseminated.
2.4.3 Implementation and operation The procedure of implementation of the M&V protocol for Net ZEBs includes sixteen
different steps to be conducted grouped into three main phases, i.e. planning,
installation, and operation of the monitoring system. The different steps of
implementation of the protocol divided in the three phases are listed in Table 5-7.
The monitoring system planning involves firstly the set of monitoring goals, according
to the selected Net ZEB definition. Therefore, the energy flow measurements and the
balance boundaries have to be defined. Accordingly, the methodology for the
collection of measurements required to check the selected Net ZEB definition has to
be described. Also the monitoring boundaries are selected according to the definition.
Then, the data collection duration and frequency are defined, based on the balancing
period and on the overall duration used as reference for verifying that a building is
really Net Zero Energy. Additionally, different levels of metrics could be considered
based on the specific monitoring goals. The minimum required are the data needed
for the balance verification, including those needed for the climate adjustment. If any
relationship exists between the selected metrics, the dependent metrics can be
evaluated indirectly through this relationship, in order to reduce the number of
measurement points and thereby the monitoring effort/cost. Finally, each
measurement duration and accuracy and the proper equipment is identified based on
the metrics.
Afterwards, for the monitoring system installation phase the installation technical
feasibility has to be checked, which depends on the building project. Such technical
feasibility is dependent on the energy system layout compared to the project drafts. It
is necessary to check if the equipment selected can actually be installed in the
building on the basis of space availability for the sensor installation, their connection
with the electric panel, and distances to be covered among others. If eventual
technical unfeasibility results from the previous step, proper measures have to be
identified. Such step must also assess the impact on data accuracy due to the
implemented measures. Finally, all the hardware and software components of the
system must be set-up and tested, including meters and sensors calibration by
following primary standards.
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Although previous step aims at checking that the monitoring system works properly,
some failures can occur during the final operation phase. Therefore,
estimation/calculation approaches have to be identified to overcome possible lacks.
Moreover, to guarantee that the monitoring system works properly during its
operation, it is necessary to plan maintenance activities.
Once all measurements are collected and stored, data can be post-processed.
Based on the standardization of monitoring procedures, also a predefined post-
processing can be identified. A final report has to be developed, including building,
monitoring system, and metrics description and energy balance and control and
optimization mechanisms, comfort assessment results and discussion.
Table 5. Steps for the implementation of a M&V protocol for Net ZEBs in the planning phase [6]
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Table 6. Steps for the implementation of a M&V protocol for Net ZEBs in the installation phase [6]
Table 7. Steps for the implementation of a M&V protocol for Net ZEBs in the operation phase [6]
2.5 Comparative analysis of the existing M&V protocols The IPMVP defines standardized and internationally reliable monitoring procedures
mainly focusing on the quantification of energy, water or demand savings, resulting
from the implementation of ECMs. However, it mostly outlines the steps of general
project planning, management, and execution of the monitoring, without detailing
technical specifications and specific measures or technologies involved the M&V
process. In fact, the variable nature of monitoring projects realistically precludes a
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universal M&V protocol applicable to all situations. It has to be adapted to the
individual projects by addressing to the specific objectives.
Similarly, the ASHRAE Guideline 14 is an internationally widespread procedure, but
mainly focused on the description of detail indications on how to develop a M&V plan.
Therefore, the IPMVP and ASHRAE Guideline 14 are complementary documents
that provide guidance and instruction to those interested in quantifying the results
from energy savings projects. In fact, the two above mentioned monitoring protocols
differ by design in these key areas:
IPMVP is a framework of definitions and broad approaches whereas
ASHRAE Guideline 14 provides detail on implementing M&V plans with the
framework.
IPMVP makes a provision for limited metering under Option A whereas
ASHRAE requires metering for all options.
IPMVP discussions on balancing of Uncertainty and Cost are enhanced by
ASHRAE definition of ways to quantify uncertainty so that M&V design
decisions can consider costs in light of the best available methods for
quantifying uncertainty.
To the aim of the ZERO-PLUS project monitoring protocol, the general indications of
the IPMVP protocol will be taken into account for the general structure.
On the other hand, the M&V protocol developed for Net Zero Energy Buildings within
the Task 40/Annex 52-Towards Net Zero Energy Solar Buildings has been
specifically design to point out the main issues of monitoring Net ZEBs and to define
the required activities from the concept and design to the installation and exploitation
of the monitoring system. It allows the assessment of energy balance in Net ZEB,
mostly focusing on the actual building operation and not on its comparison with past
operations. Therefore, it defines a specific monitoring protocol suited to this particular
application. Since the ZERO-PLUS project has similar aims for the monitoring of NZE
settlements, the present protocol can be taken into account as example and
integrated in a process based on standardized monitoring indications.
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3. ZERO-PLUS Project monitoring protocol at settlement scale
The first step in developing a M&V procedure is the definition of its objectives. The
methodology used to gather, manage, and analyze measured data about energy use
and conditions in buildings largely depend on the purpose of the monitoring. The
main goal of the monitoring protocol implemented within the ZERO-PLUS project is
to assess the NZE settlements and innovative technologies actual performance and
efficiency, renewable energy production and savings, and to verify settlements end-
use with respect to the design expectations. Therefore, a standardized monitoring
protocol for energy and demand savings, i.e. the IPMVP, has been considered for the
general structure of the protocol while taking into account principles for Net ZEB
monitoring. The main technical characteristics of the adopted monitoring procedure
are described in the following sub-sections. Further details about the methodology
implemented, the baseline conditions, and the reporting period will be described
within a future task after the optimization of the ZERO-PLUS settlements design and
technologies.
3.1 General characteristics of the monitoring procedure The objectives of the proposed monitoring procedure at settlement level are:
to monitor the case studies and collect all energy and environmental data
regarding the performance of the four case study settlements;
to assess the performance of the involved systems and technologies and also
the global energy and environmental performance of the settlements;
to develop an optimized maintenance methodology for all systems and
techniques in order to achieve the best possible performance and cost
effective operation;
to perform a Post Occupancy Evaluation (POE), including analyses of the
actual interaction with users and analyses of barriers for its implementation
and acceptance;
to deeply analyze the results of the monitoring and generate proper technical
information for future feasibility analyses and design.
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The proposed monitoring architecture for the outdoor areas of the ZERO-PLUS case
study settlements is an open source Web-GIS platform. The platform is designed in
order to gather and share the collected measurements and different kind of internal
data (the last is out of the purposes of D4.2) and data at settlement level as
described in Section 3.2. To this aim, a real-time data monitoring for the four
settlements utilizing appropriate measurements and graphical visualization tools is
required.
Accordingly, all the parameters affecting the energy flows at settlement level and the
outdoor microclimate needs to be monitored. Therefore, a whole-facility approach
has to be used by assessing the effect of each innovative technology separately. The
selected IPMVP options are summarized in Figure 4. According to the M&V Plan
requirements (Section 2.1.1), the selected options of the IPMVP are C and D for the
predictive design assessment and the post-occupancy assessment, respectively.
Option D is considered in the design stage because the expected savings are
determined through simulation of the energy use and production in the whole
settlement. Nevertheless, the dynamic simulation performed in the design phase (i.e.
WPs 3, 4 and 5) is not yet calibrated, as it will be validated afterwards by means of
the monitoring results in WP7 (as described in IPMVP-option D).
Whereas, Option C is considered in the ex-post stage because continuous
measurements of the entire facility energy use are taken throughout the reporting
period. Measurements/data at settlement level are collected according to Section 3.2.
The final purpose of the measured data and related parameters and indicators
calculated during the data post-processing, i.e. cost indicators, carbon footprint, etc.,
is the assessment of actual project KPIs for each case study settlement.
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Figure 4. IPMVP Options implemented in the ZERO-PLUS project at design and ex-post stages
3.1.1 Definitions The following preliminary definition list represents the way each term is used in the
ZERO-PLUS Project monitoring protocol. A final definition table will be listed within a
future task after the optimization of the ZERO-PLUS settlements design and
technologies.
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Energy:(a) energy, demand, or water use; (b) capability of doing work. Energy can
take a number of forms, which may be transformed from one into another such as
thermal (heat), mechanical (work), electrical, and chemical. Customary measurement
units are kilowatts (kWs), British thermal units or kilojoules (Btus or kJ), quantity of
steam (in pounds or kilograms), or volume (in gallons or liters) of hydrocarbon fuel [2]
Energy Conservation/Efficiency Measure (ECM or EEM): the set of activities
designed to increase the energy efficiency of the zero energy settlements.
energy savings: reduction in use of energy from the pre-retrofit baseline to the post-
retrofit reporting period once independent variables, such as weather or occupancy,
have been adjusted for [2]
Regulated energy use: (otherwise known as the building load) energy consumption
for heating + cooling + domestic hot water + fans + pumps + ventilation.
Renewable energy (RE): energy production from building integrated (building level)
renewable energy systems and community systems (settlement level). To meet the
NZE goal the combined total must be ≥ 50kWh/m2 per year.
Total RE = building integrated RE + settlement level RE
Net regulated energy: it is equal to the regulated energy use – the total RE. To meet the NZE goal this must be ≤ 20 kWh/m2 per year.
Renewable energy system (RES): systems that produces energy from renewable
sources, e.g. solar radiation, wind, etc.
Conventional/Baseline building: the building as-designed by the
architect/developer, i.e. no Zero Plus project changes are applied, conforming to the
minimum energy requirements as set by the local regulations.
Zero Energy Reference Building: a building designed with conventional
technologies (e.g. conventional PVs) in order to achieve regulated energy
consumption of less than 70kWh/m2 per year and energy production by RES of at
least 50kwh/m2 per year. This building does not benefit from community
management systems, community RES, and advanced construction components.
Zero Plus building: a building that uses energy efficient technologies to reduce
energy consumption and achieves the target of producing RE of at least 50kwh/m2
per year by using building integrated RES plus:
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the energy produced by the community RES;
the energy reduction of using the advanced energy management systems;
the energy reduction from advanced building envelope components;
the energy reduction from improved microclimate.
Measurement: (a) the act of collecting data using an instrument or meter; (b) data
collected using an instrument or meter; (c) a calculated value that is derived directly
from measurements [2]
Measurement and verification (M&V): determination of actual energy, demand, and
water savings achieved by one or more energy conservation measure(s). Savings
cannot be directly measured because they represent the absence of energy use.
Instead, actual savings are determined by comparing measured use before and after
implementation of a project and making appropriate adjustments for changes in
conditions [2]
Measurement and verification plan (M&V plan): document describing in detail the
proposed M&V activities, procedures, and methods that will be used to determine the
actual energy savings [2]
Monitoring: gathering data over time to evaluate equipment or system
performance [2]
3.2 Monitored parameters at settlement level Selected parameters will be monitored at settlement level within WP7 in order to
assess the four case study settlements performance and all the information related
with the project objectives. The preparatory work for the design of the Web GIS
platform is listed in Annex I. The monitored parameters are listed in the following sub-
sections by distinguishing in energy-related parameters (3.2.1) and outdoor
microclimate parameters. However, the monitoring environment is required to
support the inclusion/exclusion of a set of measurements and parameters, in order to
customize the monitoring system according to each case study requirement. The
measured parameters, the number of monitoring points, and the position of
measurement stations will be designed according to each case study settlement
requirements and characteristics in WP7.
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3.2.1 Energy needs, savings, and generation monitoring The energy-related parameters that will be monitored at settlement level are:
Outdoor light consumption (kWh);
Total buildings Electric Energy consumption (kWh);
Total buildings Thermal Energy consumption (kWh);
Electric Energy Production of each Renewable Energy System (kWh);
Thermal Energy Production of each Renewable Energy System (kWh);
Total Electric Energy production of the settlement (kWh);
Total Thermal Energy production of the settlement (kWh).
3.2.2 Microclimate monitoring The microclimate parameters that will be monitored at settlement level are:
Outdoor dry-bulb Temperature (°C);
Outdoor surfaces Temperature* (°C);
Relative Humidity (%);
Wind speed(m/s) and direction** (°);
Global solar radiation over a horizontal plane (W/m2);
Global solar radiation over inclined planes (i.e. PV orientation) or other
strategic position(W/m2);
Solar reflectance (albedo) of surfaces (W/m2), related to the scenarios studied
in WP4
Cloudiness (%);
Illuminance level (lux), in order to support the assessment of the smart public
lighting system.
*The main relevant vertical and horizontal surfaces in the settlement outdoor areas
have to be monitored, i.e. paving, buildings vertical and horizontal surfaces, etc.
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**Wind speed and direction probes should be placed in close proximity to the place
where the WindRail system by ANERDGY will be installed and/or in specific positions
where dedicated wind models will be trained.
3.3 Monitoring system operation According to the project description in the Grant Agreement, the following main
criteria have to be considered for the data collection:
i. High resolution (five-minute to half-hourly) to identify variations in energy use.
ii. Co-incident analysis to correlate energy use events against environmental
performance (e.g. increased temperatures).
iii. Over a sufficiently long period of time, typically a season or one year, to
isolate seasonal or other effects.
iv. Remotely monitored data in web-based platforms.
Therefore, the monitoring system will be characterized by:
i. Measurements collected every 15 min. in general, with the possibility to
increase the resolution if required by the specific measurement parameter,
such as wind related parameters.
ii. Contemporary monitoring of energy and environmental parameters.
iii. At least one year of monitoring, i.e. M30-M42.
iv. Transmission of collected data to a Web-GIS platform.
The installed measuring equipment, sensors, and data-loggers will collect all the data
and transmit them to a web-based database, for data storing, processing, and
visualization as described in section 3.4.
Table 8 reports the required characteristics of the remotely monitoring system using
internet. Also, measuring devices integrated in the external Integrated Energy
Resources Management System by ABB should be considered for monitoring
purposes.
Table 8. Technical specifications of the data collection
Nr TECHNICAL SPECIFICATIONS OF THE DATA COLLECTION
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1 Sample rate 1 sec to 12 hours 2 Accuracy < 8 seconds per month in 0° to 40°C 3 Resolution 12-15 bits 4 Data format XML or CSV 5 Data Communication SOAP 6 Telecommunications Data logger firmware must support modem
telecommunications and have an IP connectivity. LAN connectivity should also be possible. Local backup of configuration parameters, data storage in case of communication failure.
7 Ethernet connector Ethernet 10 /100 BaseT (10/100 MBit) 8 Wi-Fi network standards IEEE 802.11b/g/n 9 Connectivity with the
measuring equipment ASHRAE BACnet/ ZigBee or KNX as alternative (to be decided in WP7)
10 Input / Output Ports Up to 16 analogue channels and 10 digital channels 11 Operating Temperatures -40°C to +50°C 12 Power Requirements 1. Operating voltage of min 5 -max 30 VDC. Nominal
Voltage 24 VDC and nominal current 300 mA. 2. During power interruptions, the data logger must maintain correct time and date references and resume logging when power returns to normal operational levels.
13 Surge protection - Transient Voltage and current
1. The data logger must withstand repeated power transients. 2. Equipment must not be affected by transient voltage and current originating from the power supply or other sources.
14 Programming Interface, Firmware and Software
1. All interaction with the data logger programs must be possible manual and using a PC (upload and download of parameter set-up sensor management, data acquisition and retrieval, firmware upgrade) 2. The data logger must revert to previously stored configuration if abnormal exit from configuration routines occurs.
15 Sensor management 1. Data Logging: a. Log data with date and time stamp. b. Logging frequency programmable from 1 per sec to 1 per 12h. 2. Ability to turn log on and off. 3. Capability of logging a minimum of 11 distinct parameters.
16 Data storage The data logger must have a minimum of 100 days data storage for: 1. Twelve (12) environmental parameters logged every 15 min. 2. All of above complete with date and time stamp and data labels. 3. There must be a warning about potential memory erasure/data loss if user actions could result in such an occurrence.
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4. Data overwrite when memory is full must be user selectable.
17 Battery life 4 years
3.4 Web-GIS platform The monitoring of the Zero Plus settlements will be implemented through an open
source Web GIS platform. The platform will support the monitoring procedure of the
four settlements of the project. The Web-GIS platform model will gather and share
the collected measurements and data from the four case studies. In this way, the
settlements performance and all information related with the project’s objectives and
KPI’s be managed and interpreted.
The data providers are the four different case study settlements in which several data
loggers will be installed. The recorded data will be sent in a central storage system. It
is proposed not to use a server in each settlement but cloud computing. As a result,
the selected monitoring data from each settlement will be stored in a web cloud and
will be transmitted through TCP/IP connectivity. Furthermore, additional data will be
imported which will be calculated based on the recorded measurements or previous
developed models, for example the PMV factor and the project’s KPI’s. A total
estimation of 100 GB with 4 CPUs is considered a reliable basis on which the web
cloud storage and processing system can be started. In any case, all cloud providers
enable the upgrading of a cloud server, if the total storage capacity is reached, with
respect to the additional cost.
The architecture of the web based monitoring platform for the ZERO-PLUS
settlements is presented in Figure 5.
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Figure 5. Architecture of a Web based GIS system
In the service layer also other data files will be inserted such as spatial data files and
3D building drawings, in order to form the final visualization. One option is to use the
Tomcat Web server, Geoserver, PostGIS, and Hadoop to perform these tasks [11]
GeoServer is an open source software server written in Java that allows users to
share and edit geospatial data. It is freely available for download and available for the
Windows, Linux, and MacOS platforms [12] In the front end of the Web-GIS
monitoring platform, the Geoserver can provide high level spatial SQL interface to the
end user to query the data and create images.GeoServer can easily use PostGIS for
Web Map Service. Designed for interoperability, it publishes data from any major
spatial data source using open standards [13]. Two potential representations of the
Web based GIS platform are depicted in Figure 6 and Figure 7.
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Figure 6. Screen shot (hypothetical) of the Web-GIS, dashboard/maps and 3D visualization
Figure 7. Screen shot (hypothetical) of the Web-GIS, 3D visualization
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4. Description of the four ZERO-PLUS case study settlements
This section concerns the preliminary description of the technical details of each case
study settlement, which information is propaedeutic for the monitoring plan design
that will be carried out in D7.1.
4.1 Peyia Village, Paphos, Cyprus - Total land area: 254940 m2.
- Total n° of buildings: a rehabilitation center (about 6000 m2), 123 individual
houses up to 300 m2 (total surface 26000 m2), and a 9-apartment buildings
containing 110 suites.
- Total ZERO-PLUS settlement surface: about 2000 m2.
- Buildings in ZERO-PLUS project: 2 autonomous plots with individual
residential luxury villas. Buildings surface:
Villa type Building 1 Building 2
Enclosed Spaces 270m² 160m² Covered Parking 35m² 35m²
Covered Verandas 55m² 20m² Total Area 360m² 215m²
- Open spaces in ZERO-PLUS project: green area around the two villas (Figure
8).
- Indoor monitoring: to be detailed in WP3 and WP7.
- Outdoor monitoring: to be detailed in WP7, after the optimization stage where
the specific technologies will be properly selected, positioned, and sized.
- Renewable energy systems (before the optimization stage to be carried out in
WP5 – on going):
(i) WindRail solar and wind driven energy system by ANERDGY;
(ii) FRESCO Solar LFC and TES tank or FAE HCPV by ARCA;
(iii) Integrated Energy Resources Management by ABB:
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1. SACE power management;
2. EcoDry distribution transformers;
3. PLM i-illumination system.
Figure 8. 3D render of the open spaces in the Cypriot settlement.
4.2 Granarolo dell’Emilia, Bologna, Italy
- Total land area: about 9600 m2.
- Total n° of buildings: the settlement construction involves two NZE residential
buildings and close surrounding.
- Total ZERO-PLUS settlement surface: about 2760 m2.
- Buildings in ZERO-PLUS project: two single-family villas, representing a
typical Italian residential scheme, each one, characterized by a total floor area
of about 240 m2 distributed into an approximately rectangular ground sub-lot
of about 800 m2. The villas are designed to host one family of about three to
five people.
- Open spaces in ZERO-PLUS project: surrounding green area (Figure 9).
- Indoor monitoring: to be detailed in WP3 and WP7.
- Outdoor monitoring: to be detailed in WP7, after the optimization stage where
the specific technologies will be properly selected, positioned and sized.
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- Renewable energy systems (before the optimization stage to be carried out in
WP5 – on going):
(i) React (storage and inverter) by ABB;
(ii) WindRail solar and wind driven energy system by ANERDGY
(iii) PV panels.
Figure 9. 3D render of one of the buildings of the Italian settlement with surroundings.
4.3 Voreppe, Grenoble, France - Total land area: about 3000 m2.
- Total n° of buildings: a 18-collective dwellings building for social renting
(around 1400 m² inhabited area) and a 28-dwellings building for social selling.
- Total ZERO-PLUS settlement surface: about 1400 m2.
- Buildings in ZERO-PLUS project: a 18-dwellings 5-floor rectangular building
for social renting.
- Open spaces in ZERO-PLUS project: shared parking lot and surrounding
green area (Figure 10).
- Indoor monitoring: to be detailed in WP3 and WP7.
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- Outdoor monitoring: to be detailed in WP7, after the optimization stage where
the specific technologies will be properly selected, positioned and sized.
- Renewable energy systems (before the optimization stage to be carried out in
WP5 – on going):
(i) FRESCO Solar LFC and TES tank or FAE HCPV by ARCA.
Figure 10. 3D render of the open spaces in the French settlement
4.4 Derwenthorpe Community, York, UK - Total land area: 218500 m2.
- Total n° of buildings: 500 homes including 2, 3, 4, and 5 bedroom homes with
private garden and a number of 1 bedroom apartments.
- Buildings in ZERO-PLUS project: 3 detached residential single-family
dwellings with 3 bedrooms, split over 2 floors (floor surface 95 m2). Each
dwelling can host an average of three people, with a maximum of five people.
- Open spaces in ZERO-PLUS project: properties private gardens and part of
the adjacent open space (Figure 11).
- Indoor monitoring: to be detailed in WP3 and WP7.
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- Outdoor monitoring: to be detailed in WP7, after the optimization stage where
the specific technologies will be properly selected, positioned and sized.
- Renewable energy systems (before the optimization stage to be carried out in
WP5 – on going):
(i) WindRail solar and wind driven energy system by ANERDGY;
(ii) FRESCO Solar LFC or FAE HCPV by ARCA;
(iii) Integrated Energy Resources Management by ABB:
1. SACE power management;
2. EcoDry distribution transformers;
3. PLM i-illumination system.
Figure 11. 3D view of the open spaces in the English settlement
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5. Conclusions and future developments The present deliverable D4.2 describes the general framework of the specific M&V
protocol to be used for the monitoring of the four NZE settlements outdoor areas and
of the performance of energy technologies implemented at settlement level.
In order to develop a reliable and effective monitoring protocol, a preliminary review
of existing internationally available M&V procedures has been carried out. In
particular, three monitoring protocols have been considered for implementation in the
ZERO-PLUS project. Firstly, the International Performance Measurement and
Verification Protocol (IPMVP), owned by the Efficiency Valuation Organization (EVO),
which is one of the most acknowledged worldwide. Secondly, the ASHRAE Guideline
14 on Measurement of Energy and Demand Savings is considered. And finally, a
M&V protocol specifically developed for Net ZEB within the IEA SHC/ECBCS Joint
Project Task 40/Annex 52 -Towards Net Zero Energy Solar Buildings is assessed.
The main objectives, technical and operational characteristics of the three protocols
have been listed. Moreover, the main requirements of a M&V Plan, which describe
the procedure to carry out the monitoring, have been reported.
Based on the analyzed monitoring protocols, the M&V procedure to be implemented
in the four ZERO-PLUS case study settlements has been developed. The proposed
monitoring architecture is a Web-GIS platform model, designed in order to gather and
share the collected measurements and data from all the four settlements. The
objectives of the proposed monitoring architecture at settlement level are
(i) to collect, store, and process all energy consumption/production and
environmental data monitored in the four case study settlements,
(ii) to assess the global energy and environmental performance of the
settlements and the specific performance of the renewable energy
production technologies and management systems, and
(iii) to show in a specifically designed user friendly interface in the platform
the related information in a front end, which will interact both with the user
and with the application server for the implementation of all processes.
The developed procedure, which will be detailed in WP7, is customized for
monitoring the four settlements with low operational cost, since it is based on open
source software tools and cloud computing. The GIS and various web technologies
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can be efficiently combined as a mechanism to share spatial information freely,
openly, and easily. Finally, there will be the potential of extending the Web GIS
platform by adding further settlements in the future. Also, a preliminary definition of
the M&V protocol specifically implemented in each case study settlement, including
the description of the used sensors, the measurement procedure adopted, and the
monitoring architecture layout, has been reported.
A more detailed description of the monitoring setup, system, and the Web-GIS
platform will be developed within WP7, as agreed in the project proposal. The
monitoring setup will be designed according to the protocols developed in WP3 and
WP4 for indoor and outdoor areas measurements, respectively. The technical setup
of the monitoring platform will be carried out in co-operation with the case studies
owners who will install the measuring devices, according to the supporting team and
the partnership guidelines.
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6. References [1] Efficiency Valuation Organization (EVO), International Performance Measurement &
Verification Protocol (IPMVP) - Concepts and Options for Determining Energy and Water Savings, Volume I, 2002.Available fromhttp://www.nrel.gov/docs/fy02osti/31505.pdf
[2] ASHRAE Guideline 14-2014 (Supersedes ASHRAE Guideline 14-2002),Measurement of Energy, Demand, and Water Savings. Available from http://www.techstreet.com/products/1888937
[3] IEA SHC/ECBCS Joint Project Task 40/Annex 52 - Towards Net Zero Energy solar Buildings. Available fromhttp://task40.iea-shc.org/
[4] EVO, International Performance Measurement & Verification Protocol - Core Concepts, EVO 10000 – 1:2014.Available fromhttp://evo-world.org/en/
[5] ASHRAE Guideline 14-2002,Measurement of Energy and Demand Savings. Available fromhttps://gaia.lbl.gov/people/ryin/public/Ashrae_guideline14-2002_Measurement%20of%20Energy%20and%20Demand%20Saving%20.pdf
[6] IEA SHC/ECBCS Task 40/Annex 52 – Towards Net Zero Energy solar Buildings. M&V protocol for Net ZEB. A technical report of STA, 2013. Available from http://www.nachhaltigwirtschaften.at/iea_pdf/endbericht_201417_iea_shc_task40_ebc_annex_52_anhang03.pdf
[7] ANSI/ASHRAE Standard 55-2013. Thermal Environmental Conditions for Human Occupancy.
[8] EN ISO 7730:2005. Ergonomics of the Thermal Environment – Analytical Determination and Interpretation of Thermal Comfort Using Calculation of the PMV and PPD Indices and Local Thermal Comfort Criteria.
[9] EN 15251:2007. Indoor Environmental Input Parameters for Design and Assessment of Energy Performance of Buildings Addressing Indoor Air Quality, Thermal Environment, Lighting and Acoustics.
[10] ANSI/ASHRAE/IES/USGBC Standard 189.1-2014. Standard for the Design of High-Performance Green Buildings.
[11] D. Fustes, D. Cantorna, C. Dafonte, B. Arcay, A. Iglesias, and M. Manteiga, “A cloud-integrated web platform for marine monitoring using GIS and remote sensing. Application to oil spill detection through SAR images,” Futur. Gener. Comput. Syst., vol. 34, pp. 155–160, 2014.
[12] B. R. Larsen, “Geoserver as a tool for providing networked geospatial environmental data,” 2010.
[13] GeoServer. Available from http://docs.geoserver.org/latest/en/user/ [14] VPS Cloud. Available from https://www.ovh.com/us/vps/vps-cloud.xml
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Annex I Within WP7, TUC carried out the following preparatory work aimed at developing the
project monitoring protocol.
Investigation of the data types that need to be collected (as above
mentioned).
Investigation of the data storage environment: a web cloud [14] will be used
with 100 GB storage, 4 CPU and 8 GB RAM.
Investigation of the database management system: PostgreSQL data base
will be explored for the data storage and processing.
Investigation of the Web-GIS environment: Geoserver will be explored with
PostGIS extension for the image processing.
Investigation of the web server: Tomcat Apache will be explored.
Investigation of the security options in the data transmission and storage:
- HTPPS transfer protocol with SSL encryption and firewall in the cloud
server;
- maintenance and update of the services that need to be accessible,
such as PostgreSQL database or Geoserver;
- user control with password protected access to additional data of the
settlements;
- Investigation of the data processing for the forecasting algorithms
development: all necessary data will be selected through the database
and processed in Matlab, in the web cloud. The results will be stored
again within the database.
To this end TUC has set up a free software tool in a Linux operating system and
developed an initial test version of the Web based monitoring platform, in order to
assess the system effectiveness.