PowerPoint Presentation

EINSTEIN Project Overview

Daniel Coakley, Marie Curie Research FellowIntegrated Environmental Solutions Ltd.EINSTE

Today Im going to talk about the topic of smart cities and buildings, and the IES R&D vision to make them a reality;

Holistic view from Smart Cities down to Smart Building Control;

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Research and Development

At a City Scale, IES are focussed on MASTERPLANNING: This will help city architects and urban planners to design their cities and subsystems in the most sustainable way possible.

At a New Building DESIGN level, and for RETROFIT projects, IES have been offering Building Simulation solutions for over 20 years.

REAL-TIME CONTROL is required to intelligently exploit the controls of the building to automatically adjust them according to weather and other conditions.

This can all link to SMART CITIES: Through enabling existing cities to make better use of their existing resources, and by clustering the energy needs of buildings together.2

OPERATIONModel and data-driven performance improvement

Intelligent and Model Based ControlUsing Simulation for Fault Detection and AnalysisReal-Time Optimisation and Control of BuildingsReal-Time Prediction of Building UseDirect Connections between Simulation Environment and BMS / Building Sensors

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EINSTEIN ProjectEINSTEIN (FP7, 2014-2017)Simulation Enhanced Integrated Systems for Model-based Intelligent Control(s)Development of automated prediction, optimization and fault detection algorithms for integration with the IES software for building performance optimizationFunding: 4-Year EU-funded Marie Curie IAPPJan. 2014 Dec. 2017Partners: IES and TCDTopicsFault DetectionPredictionOptimisationOverall system integration

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IES-VE & SCAN / ERGON

SCAN Cloud-based data acquisition, analysis and visualisation for Buildings.ERGON - Import, manage and interrogate real building data / schedules and use them in VE simulations.

IES-VE Integrated suite of simulation software for the built environment.Dynamic thermal models;Detailed HVAC and Control systems;Ratings and accreditation (LEED, BREEAM etc.)

ERGON is an IES Cloud service that allows you to import, manage and interrogate real building profile or schedule data for use within your VE simulations. You can utilise measured data from the actual building youre investigating to create profiles that enhance model calibration. Or use normalised benchmark data from other buildings of the same type.As ERGON is based on the cloud it enables you to manipulate vast amount of data and create profiles that go down as low as 1 minute time steps. Therefore you can not only deal with 8760 profiles, but also 525600 profiles!

Such profiles can be used to:Investigate the impact of retrofit options using real building dataUndertake Post Occupancy EvaluationsImprove operational models for performance contractingAid in delivering Soft LandingsUndertake Monitoring Based Commissioning for LEED V4Undertake LEED Measurement and VerificationHelp close the performance gap by simulating designs closer to realityHelp Close the Performance Gap and simulate closer to realityMonitoring-based commissioning for LEED V4;Undertake Post Occupancy EvaluationsImprove operational models for retrofit & performance contracting

Within ERGON users can easily import .csv files, graphically interrogate the completeness of data, undertake some initial analysis using in-build analytics, and export as a Free Form Profile Data file (.ffd) into ApPro for use in VE Apache simulations. Users can also generate from scratch bespoke profiles at deep granularity (consisting of up to 10 daily profiles which can be assigned hourly across a year).

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Building Information SilosBuilding Information Model (BIM)Geometry, Materials, Constructions etc.Building Management System (BMS)Temperature,CO2Set points,Schedules,Energy & Water;OccupantsConnected devices (WiFi, Cellular);Feedback;

RoomsBooking schedules;Lecture timetables;

Weather StationWind speed;Temperature;Humidity;Rainfall.Technical documentation DrawingsOp & Maintenance manuals for equipment etc.

EINSTEIN Platform Overview

OptimisationPredictionCalibrationProfiles [Ergon]

Building Energy Model (WBS / ROM)

FDD

DSS / MPC / Scenarios

Model Based FDDKnowledge / Rule-based: uses expert user-defined rules (e.g. APAR) which govern system behaviour;

Data-driven: uses historical building data, Statistical Methods, Empirical Data, Machine Learning;

Model-based; uses a calibrated detailed system model

Traditionally, approaches to FDD can be split into three areas.

One issue is the ability to confidently predict and diagnose system faults, and minimise false positives.

EINSTEIN looking at how we can combine these approaches to deliver a more robust FDD system.

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Prediction / OptimisationMulti-objective control optimisation;Comfort;Economics;Carbon, Etc.;Integrates Historic/predicted weather conditions;Building & system thermal response; Occupant schedules & feedback; Economics (i.e. electricity / gas tariff);

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Overall Integration

Building data - Ontologies (Haystack), mapping - Hardware - Communications protocols

SCAN - Visualisation tools - Web dashboards - Statistical analysis

Modelling / Prediction

FDD and Optimisation

Returned improved control logic to Building10

Operational WBS ModelsIncreasing prevalence of BIM and energy modelling at building design phase;Compliance and rating systems (e.g. LEED) starting to recognise operational performance, rather than traditional design performance;Advantage of operation models for FDD / MPC;Can be used to effectively monitor and diagnose discrepancies between design intent & operational performance (i.e. performance gap);Adaptable to changes in building or system operation (compared to solely data-driven approaches);Capable of simulating different control scenarios, recognising actual system response;Allows optimisation of control strategies using real performance feedback

Thank you!Daniel CoakleyEmail: daniel.coakley@iesve.comWeb: www.iesve.com

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