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BIG DATA & ANALYTICS…
THE NEXT FRONTIER FOR
ENERGY MANAGEMENT
Module 3
Jack McGowan, CEM
Your Seminar Leaders: Jack
McGowan, CEM
Jim Lee Jack is Principal of the McGowan Group. He was formerly CEO of Energy Control, Inc., an OpTerra Energy Company, and also has held
management positions with Honeywell Inc., Johnson Controls Inc.
and others. He’s Chairman Emeritus, U.S. DOE GridWise
Architecture Council, and a Fellow with the Association of Energy
Engineers (AEE), as well as a member of AEE's International Energy
Managers Hall of Fame. His experience in the energy and buildings
industries spans four decades, and included leadership roles in energy
management, Smart Buildings / Open Systems, Energy Services,
Smart Grid and Big Data Energy Analytics. His most recent book,
Energy and Analytics: Big Data and Building Technology Integration
is published by The Fairmont Press.
Principal Team of Leaders Chairman Emeritus Senior Fellow Fellow
Hall of Fame
Jack McGowan, CEM
http://www.aeeprograms.com/store/detail.cfm?id=1188&category_id=6
Intelligent Buildings and Big Data
Building Technology Architecture • System Analysis and Data Evaluation for Optimization
Analytics Data Determination and Integration • Understanding Data and Systems Architecture
Key Underlying Technologies
Technologies: Multi-Tiered Building Automation, Meter Data Management, CMMS, other
Middleware
Information Technology and Computer Network
BAS
BAS Market • Legacy and Open/Standard Technology Evaluation
BADDC Network Mgmt, Equipment & Zone • Control / Automation Applications
Active Energy and Analytics
Digital Communication for Building Technology
Protocols and Data Networking • Architecture and Data Communications
Internet and Web Services • Energy Analytics and Data Access
Middleware
Middleware Technology Definition and Market • Legacy System and Visualization Interface
Network Systems and Data Analytics
System Integration
BAS Architecture Integration
Integrating Legacy Systems For Optimization and Data Access
Energy Management, Sustainability and Analytics
Big Data and Analytics - Module 3
Next Generation
Building Technology Architecture
Architecture must leverage Technology and
standards to bridge between internal building
systems and Web/Cloud Services
N2
N2
Equipment
Control (ELC)
ELC
Operator Workstation
Remote/Dial-Up Operator
Workstation
Fire Controller
VAV Controller
Zone Controller (ZLC) Lighting Controller
NEU Controller
LCP Controller
ZLC Controller
Access Controller
AHU Controller
ELC ELC
BACnet™ IP
BACnet™
MSTP
LON
Legacy
Big Data: Only Smart Facilities Can Play
Building
To Grid
Analytics Data Determination and Integration – Leverage wideranging sources
Smart Building trends toward Cloud based IT Aps and Big Data Energy Analytics
Leveraging large scale building/consumer networks is the future
Dynamic Pricing,
Microgrids & M&V
Smarter Buildings can Kick
Start Smart Grid Marketplace
on Supply & Demand Side
Big Data & Effective BAS drive larger functionality
– Why Automate?
– What is Value of BAEMS ?
– Evolution of DDC
– What is DDC
– Value of BAEMS
– Control Theory Review – What it takes to understand underlying technology that supports Big Data Energy Analytics
Analytics Data determination
and Integration
Why Automate HVAC Applications?
Air Flow
R/C
Temperature sensing
Setpoint
- Proportional Control
- P+I and P I D
Valve
Actuator
Cooling
Coil
Off-coil Air Temperature
Sensor -high limit
•Setpoint
•throttling range
•hysteresis
•anticipation
freeze
stat
Heating
Coil
Isn’t the answer to this question obvious? Precise control and environment Complexity of one unit, let alone plant, loop, many units Technology does require rethinking basic requirements Communications & integration are no longer transparent Optimization requires systems thinking Variables are no longer internal, but external too, i.e. DR
CW
All Data may be used with
Analytics
Topic to be revisited continuously in this seminar
All benefits discussed in Modules 1 & 2
Cost
Optimization for cost and operations
Energy and Environmental benefits
Sustainability
Compliance
Vendor Management
How does BAS Support Analytics? Other Systems
HVAC
24/7 Monitor
Video surveillance
Elevator
Lighting
Fire
Access
Energy
Consider: Reducing Building Cost S
ervices a
nd
Tech
no
log
ies
Copyright ® 2007 The Fourth
Utility, LLC All Rights Reserved.
Big Data Energy Analytics
Analytics Data Determination
and Integration
Understanding Data and
Systems Architecture
What Data is Needed?
Where does it Reside?
What Architecture supports
Acquisition?
High Speed Internet / Wireless
Voice Communications
Facilities Management
Interactive media
Visitor management
Audio – Video Conf
Ambient Music / TV
Better Tenant & Common Area Experience: learning, productivity, comfort and cost
Digital signage
Ser
vic
es a
nd
Tec
hn
olo
gie
s
Copyright ® 2007 The Fourth
Utility, LLC All Rights Reserved.
Understanding Data and
Systems Architecture
Big Data Energy Analytics
is focus here
However there is much
more value across many
types of buildings
High Speed Internet / Wireless
IP Telephony
Future Applications
Interactive media
Visitor management
Audio – Video Conf
Ambient Music / TV
Architecture ties together applications
which are sources of data
Digital signage
HVAC
24/7 Monitor
Video surveillance
Elevator
Lighting
Fire
Access
Energy
Copyright ® 2007 The Fourth
Utility, LLC All Rights Reserved.
The introduction of microprocessors
Evolution of Control Systems
Communications technology was not part of system design pre-microprocessors
or in the First Stage of evolution
Single, small DDC
system
…post pneumatics and mini-computers
Larger and Distributed DDC systems require multiple, networked DDC Panels
Evolution of Control Systems
Each Manufacturer “invents” control plus
digital communications
these are called “Legacy Systems”
Panel A Panel C
Panel B
Pre- BacNET™ expanded systems turned into isolated systems of automation
Evolution of Control Systems
No Standard Method of Communication!
Vendor A Vendor C
Vendor B
Important Note: No Standard Method of
sequence programming either
1st Generation DDC (really EMS...)
Evolution of Control Systems
Master/slave (polling) protocol is a crude beginning to the use of communications
Single Mini/
Mainframe
Computer
Still no Standard Method of sequence programming
…more to come on this later
Consider a BAS technology parallel, from Music Let’s go back to 1980
1980’s IT (Data Processing)
And Today? The Internet
Cloud!
Network stuff here
And, BAS Architecture of Tomorrow…
The Internet Cloud!
Network stuff here
Controls
Analytics
Application
s
Analytics CMMS FDD
DR GUI
Commissionin
g
Pieces of the “BAEMS” Puzzle
BAEMS …in the building and in the cloud
HVAC & DDC Open Data
Communication
Energy Management
&Facility Application
And the Cloud
Brings more data
Big Data Energy Analytics
Leverage all above, and not
Just the Web but IoT
BAEMS Open System Evolution
Equipment
Controller
Micro-processor
DDC
Network
Communications
OPEN
STANDARD
Future
Systems
The Technology Funnel
Future
Applications
i.e.
Analytics
Managing BAEMS requires a working knowledge of:
• Your facility applications
• HVAC Systems
• DDC Control theory and practices Architecture, Distributed Controllers
Control Configuration and Programming
• Digital Communications
• Open/Standard Protocols
• Computer (PC) technology
• Internet/Information Technology and now
• Big Data Energy Analytics
BAEMS Awareness
Back to HVAC Control Applications
Air Flow
R/C
Temperature sensing
Setpoint
- Proportional Control
- P+I and P I D
Valve
Actuator
Cooling
Coil
Off-coil Air Temperature
Sensor -high limit
•Setpoint
•throttling range
•hysteresis
•anticipation
freeze
stat
Heating
Coil
What does this have to do with BAEMS? What does all of this have to do with buildings operations? Oh, and it is all Data
CW
ASHRAE Closed loop control of a condition, applied directly at the application,
using a digital control loop with feedback to sense changes in condition. DDC Open Systems Expansion
DDC controllers must be networked so that information from control loops, and applications can be combined into a building control system.
Open Systems are the next wave and have led to Integrated Systems that leverage STANDARDS for networking
ASHRAE Vision 2020 for Net Zero Energy Buildings: “If NZEBs are to become reality, manufacturers and designers must be better able to integrate systems into buildings that may be significantly different from most buildings constructed today. Designers will need the tools to design and apply better integrated equipment, manufacturers will need to produce ultra-high efficiency equipment and know how to best apply it to buildings, and both will have to be able to better monitor occupants’ needs and provide comfortable conditions, taking advantage of everything that nature has to offer, including human ingenuity.”
DDC Definition and beyond
To Better understand this, go back to basics Controller Function
Single Closed Loop Control
Inputs • Thermistor (varying resistance) • 4-20mA • 0-5/10vDC • Above can be analog or binary
Outputs • Binary - On/off (usually 24vAC) • Analog - Pneumatic, 4-20mA, 0-10vDC
Algorithms • PID & Adaptive PID • On/off with differential • Control Sequences
* Integration at Systems and Enterprise Levels
BAEMS Controller Options
Unlike closed loop, open loop: • Does not vary the output to affect the input (controlled
variable)
• May use a software variable as the input (e.g., a schedule)
• Algorithm is usually a logical test (IF/THEN)
CONCLUSION - 90% of DDC control is a combination of open and closed loops.
Open Loop Control
HVAC - Comfort (Temp. control), Energy, Maintenance & Cost Management
Life Safety, Lighting & Security
Building or Industrial Processes
This seminar does not focus on the differences in these functions, but it recognizes that they must coexist and may bring value in optimizing Hospital operations
DDC System Applications
Before BAEMS Hardware Deep Dive… Revisit the basics
Theory Review – What it takes to understand BAEMS
Control Theory
N1 LAN
Basic Temperature Control
Direct Digital Control (DDC)
Control Theory: Basic Temperature Control
Goal: Establish a final condition
Temperature control
proportion between setpoint
temperature trigger call
anticipation
deadband
throttling range
Simple temperature control wiring
red = fan
blue = cooling
yellow = heat
black & white = common/power
Simple
mercury
bulb
Control Theory
Sensor Controller Controlled
Device
HVAC
Process
System Feedback
Sensors
Temperature
Pressure
Humidity
Control Theory
Sensor Controller Controlled
Device
HVAC
Process
System Feedback
Controllers
Two Position Control
Analog Control
Direct Digital Control
Two Position Control
Typically a mechanical device such as a thermostat or pressure switch
Control Theory
Two Position Control
A mechanical thermostat opens or closes a relay based on the temperature. this applies a voltage to a two position fan coil valve which goes full open or full closed.
Control Theory
Differential
Temperature
Increasing
Cut in
temperature
Full flow to FCU
Cut out
temperature
No flow to FCU
Two Position Control
Low Cost
Inaccurate Control
Inflexible Strategies
Cannot be Networked
Used for Simple On / Off Control such as FCU in Hotel Guest Rooms
Used for Safety Controls
Control Theory
Analog Control:
Uses analog electronics but no microprocessor
A temperature sensor located in the return air of a CAV AHU controls the chilled water valve using a proportional algorithm.
Control Theory
Control Theory: HVAC Application
Air Flow
CHWS
CHWR
T-
stat
Temperature sensing
Setpoint
- Proportional Control
- P+I and P I D
Valve
Actuator
Cooling
Coil
Off-coil Air Temperature
Sensor -high limit
Setpoint
- throttling range
- histerisis
- anticipation
freeze
stat
Heating
Coil
Control Loop Calculations
Proportional-Only Control results in a continuous error.
Control Theory
Setpoint
Deadband
Time
Input
Time
Output
Proportional Only Output
Control Theory - more complex: P+I
+
Setpoint
Input -
Error
Calculate
Proportional
Term
Calculate Integral
Term
Deadband Proportional band Integral time
Output = P Term + I Term
+
Error*
+
Calculate
Error*
ASHRAE : Closed loop control at the application using digital control
DDC Open Systems Expansion: controllers must be networked so information from control loops and applications controls a building
Open Systems led to Integrated Systems that leverage STANDARDS
ASHRAE Vision 2020 for Net Zero Energy Buildings: require integrating systems into buildings that may be significantly different from most buildings constructed today. Designers will need the tools to design and apply better integrated equipment, manufacturers will need to produce ultra-high efficiency equipment and know how to best apply it to buildings, and both will have to be able to better monitor occupants’ needs and provide comfortable conditions, taking advantage of everything that nature has to offer, including human ingenuity.”
BAEMS Definition
Sensor Controller Controlled
Device
HVAC
Process
DDC System Feedback
BAS System Architecture BAS is one of many building systems and a good
example of dedicated system architecture
Now it is possible to Dig into the
Architecture, and discuss the system
Components and their functionality
N2
N2
Equipment
Control (ELC)
ELC
Operator Workstation
Remote/Dial-Up Operator
Workstation
Fire Controller
VAV Controller
Zone Controller (ZLC) Lighting Controller
NEU Controller
LCP Controller
ZLC Controller
Access Controller
AHU Controller
ELC ELC
BAEMS System Architecture … more HVAC / Special System Focus
HVAC / Control focused manufacturer add Special System including Fire, Access & Video Surveillance –
Understanding Tech = awareness of data sources
BAEMS MiddlewareArchitecture
The Next Wave is to Integrate anything including legacy BAS, Other Systems, IT & Web Services
– BAEMS Systems Architecture – BAEMS Applications beginning with Direct
Digital Control (DDC) – BAEMS Devices – Software vs. Firmware – BAEMS Systems Architecture again
Again, these are all source of data and they make it easier to add new Sensor Data, etc.
BAEMS begins at the basics
Controller Objective:
Optimally satisfy space requirements
Energy Strategies ??
Additional Benefits:
Eliminate system short cycling
Adaptable for dehumidification
Minimize system run time
Implement a complete building control strategy e.g., stagger system
Typical Usage:
Medical Professional Buildings
Beltway Office Buildings
Retail and Churches
DDC Applications: Simple D/X Roof Top Unit
Complete Building Control System
Coordinate Facility Functions HVAC/Special
DDC Leverages Sub Systems
Terminal Unit Systems
Fan Systems
Chilled Water Systems: Prime Mover/Loop
Heat/Hot Water Systems: Prime Mover/Loop
Condenser Water System
Solar Thermal / PV
Commissioning/Metering / M&V / Analytics
Comprehensive Control Strategy Means:
Minimized cost of operations
Minimized occupant disruption
Maximized occupant comfort and satisfaction
DDC Applications: Complex
Enhanced system operation
Microprocessor reliability & precision
Local and/or remote setpoint adjust & tuning
Local and/or remote start-stop
Saves Energy & Money
Start-stop based upon occupancy
Eliminate cooling & heating unoccupied areas
Reduces Maintenance Cost
Immediate notification of failures/alarms
Provides warning prior to actual alarm
Remotely “view” equipment from a P.C.
Diagnose mechanical problems from the PC
Mission = Positive Health Care, Work & Learning Environments
Optimization to further enhance all of the above
Analytics for Continuous Improvement, M&V and accredation i.e. Joint Commission, Carbon and benchmarking
DDC Application Benefits State of the Art DDC or BAEMS Benefits
Direct Digital Control (DDC) is typically applied on a building wide basis through digital strategies executed by many local controllers
A Building Automation System (BAS) is a computer-based system which centralizes and automates the monitoring and control of HVAC, lighting, fire alarm and security systems.
BAEMS combines both the above systems & adds functionality for Energy Management, not just comfort, plus Integration of multiple other Legacy DDC/BAS as well as meter, CMMS, FD&D, Special Systems, Kiosks, Dashboards and other Building / IT technology for broader Facility and Enterprise Management from a Local or NOC level
DDC, Building Automation and BAEMS Systems
BAEMS System Architecture … traditional HVAC / Special System Focus
This section will touch on the
Devices, their function and
Programming as well as their
Communication for data or for
Integrated Control
Enterprise/Integration: i.e. browser/server – more later
The “backbone” connects top level panels, controllers, and operator interfaces High speed, large volume of data transfer
Provides operator interface to network
Interface with remote communications devices
Lower level communication bus connect controllers to backbone Slower speed, smaller data volume
Diversity of control sub-system interfaces
Lowest level are the points (devices, sensors, etc.) - not typically networked or “addressable”
BAEMS System Hierarchy
SYSTEMS MAY BE CATEGORIZED BY NUMEROUS SETS OF CRITERIA SUCH AS: FUNCTION
DEGREE OF "INTELLIGENCE" OR PROGRAMMABILITY OF THE SYSTEM
COMPONENTS AS WELL AS THE EXTENT TO WHICH THEY COMMUNICATE or Integrate
WITH ONE ANOTHER or An Interface
OPERATE AUTONOMOUSLY.
BAEMS CONTROLLER TYPES
CATEGORIZED BY
DEVICE CHARACTERISTICS
Hardware configuration and capabilities
FUNCTION CHARACTERICS
Method of creating control strategies
IN ALL CASES INTELLIGENT CONTROLLERS DISTRIBUTED THROUGHOUT A BUILDING AND CONNECTED TO A LOCAL AREA CONTROL NETWORK AS WELL AS AN EXTERNAL INTERNET CONNECTION
BAEMS CONTROLLER TYPES Said another way
DDC BUILDING WIDE CONTROLLER
Integrated control such as DLC, DR and OSS
DDC EQUIPMENT CONTROLLER
AHU and Plant Applications
DDC ZONE CONTROLLER
VAV, Single Zone and Unitary applications
BAEMS Controller by Device Characteristics
Building-wide Controller May Integrate Equipment Level Function and/or enterprise networks
Building Equipment Level Controller Lower Level Network Manager Connection to Local/Remote Operator Interfaces Connection to “other” building functions General-Purpose Global/Supervisory Control May not directly connect to points
Lower Zone Level Controllers Connects to Points Programmable Controllers - General Purpose Typically special purpose Security/Lighting Controller
Points - Sensors/Actuators typically via analog signals
BAEMS Devices
Building-wide Controller
BUILDING-wide CONTROLLERS may be peers or at Enterprise
Some Manufacturers implement with Controller Functions
May have high point density or no points
Key Function is to Route communications to between all controllers and backbone network
May include gateways which are part of Middleware discussion
Monitor system-wide sequences, Trend data & alarms
General-purpose programming of various sequences
Option A (peer) or
B (enterprise) A
B
Controller Functions - aka DDC Panel…
May have high point density or no points
Routes communications to backbone network May include gateways which are part of Middleware discussion
Monitor system-wide sequence and control loops
Trend input data, record/transmit alarms
General-purpose programming of various sequences
Equipment Level Controller
BUILDING CONTROLLERS
Large point density Applications
Boilers
Chillers
VAV Air Handlers
Multi-Zone Air Handlers
Large Zone Air Handlers
Intra-equipment sequence integration: i.e. morning warm-up or Surgical Suite Temperature Sequences
Equipment Level Controller Applications
Controller Functions: aka ASC, terminal control, zone control... Lower point density and may include integrated sensor/interface May be general or special purpose
Simple communications with higher-level controller
Implements most of the closed loop control
Point interface data May trend/alarm or repeatedly sends data “up”
May or may not have a clock/schedule
Lower Level Controllers
LOWER LEVEL CONTROLLERS
Self-contained or Replicated Applications
Single Zone Units
VAV Boxes
Fan Powered Boxes
Access Control Interface
Lighting Control Interface
Smoke And Fire Control Interface
Lower Level Controller Applications
SENSORS
TRANSMITTERS
TRANSDUCERS
ACTUATORS
RELAYS and SOLENOIDS
VFD, ECM AND VRV MOTOR INTERFACES
PNEUMATIC INTERFACES
LIGHTING INTERFACES
ELECTRIC POWER MEASUREMENT WATT TRANSDUCERS, Building or load
UTILITY METERS, KWH (PULSED SIGNAL)
DON’T FORGET “VIRTUAL POINTS
POINT DEVICES USED WITH BAEMS
SENSOR: A DEVICE PLACED IN A MEDIUM TO BE MEASURED, THAT HAS A CHANGE IN OUTPUT SIGNAL PROPORTIONAL TO ANY CHANGE IN THE SENSED MEDIUM
Sensor Output signals VOLTAGE, RESISTANCE and CURRENT
PULSE, FREQUENCY and CAPACITANCE
PRESSURE
PHYSICAL DISPLACEMENT
Sensor Selection and application RANGE, INTERCHANGEABILITY
EASE OF CALIBRATION
LINEARITY, SENSITIVITY, ACCURACY, REPEATABILITY and COST
POINT DEVICES: Sensors (DATA)
COMMON TEMPERATURE SENSORS
RESISTANCE TEMPERATURE DEVICES (RTD)
THERMISTORS
THERMOCOUPLES
SOLID STATE ELECTRONIC SENSORS
PRESSURE SENSORS
AN ELECTRICAL MEANS OF MEASURING THE DISPLACEMENT CAUSED BY A PRESSURE DIFFERENCE
HUMIDITY SENSORS
METERS /MEASUREMENT DEVICES
BTU, FLOW, etc.
POINT DEVICES: Sensors, continued
TRANSDUCERS
ACTUATORS
RELAYS and SOLENOIDS
ELECTRIC POWER MEASUREMENT
DON’T FORGET “VIRTUAL POINTS
POINT DEVICES: Outputs
Location of data within a system and approach to developing sequences is determined by the DDC system software design
TWO Distinct and Critical Topics
Sequence Development: Configuration
Operational Modifications after Commissioning: Programming
With Programming, there is no “correct” location for data like:
Setpoints Schedules Trend Data Alarm summaries
BUT...
BAEMS FUNCTION CHARACTERISTICS OR EXECUTING CONTROL SEQUENCES
Virtual Data
points
"GENERAL PURPOSE" SYSTEM
STAND ALONE OR NETWORKED
APPLICATION SPECIFIC -- STAND ALONE
PRE-PROGRAMMED TO CARRY OUT A LIMITED AND UNALTERABLE SET OF FUNCTIONS
DUTY CYCLERS
DEMAND LIMITERS
BOILER OR CHILLER CONTROLLERS
PACKAGED AIR CONDITIONER CONTROLLERS
COMPUTER-BASED TIMECLOCKS.
CANNED GENERAL PURPOSE CONTROL LOOPS AND START/STOP PROGRAMS
PROGRAM WRITTEN BY THE CONTROLS VENDOR OR THE USER AND BASED ON THE DETAILS OF THE APPLICATION.
BAEMS FUNCTIONAL CONTROLLER TYPES
STATE OF ART: BAEMS NETWORKED SYSTEMS SINGLE OR MULTI LEVEL NETWORKS
CONTROLLERS FULLY PROGRAMMABLE BY THE SI
LIBRARY ALOGRITHMS AND STRATEGIES APPROACHING NORM
SHARE COMMON DATA OR REPORT TO A CENTRAL COMPUTER
MAY BE PROGRAMMED TO SUPERVISE OR COORDINATE THE OPERATION OF THE REMOTELY LOCATED SYSTEMS.
MORE SOPHISTICATED OPERATOR ACCESS
COLOR GRAPHIC DISPLAYS, HIGH SPEED PRINTOUTS OF STORED DATA
BAEMS FUNCTION AL CONTROLLER TYPES
Firmware – Software provided by the factory “System” software written in “C”
Embedded in non-volatile memory by manufacturer
Typically cannot be changed by user
Includes Operating System, Operator Interface support, & Communications
May include various pre-programmed control applications
May include a general-purpose programming language/editor for custom sequences
The “source code”
Software vs. Firmware
Software or “Configuration” The parameters and programs created by the installer in the field
Stored in volatile or read/write memory
Typically may be changed by user with appropriate tools
Initial Configuration includes Setpoints, custom control sequences
The control software code generated by the general-purpose programming language • line-by-line
• graphical/function block
Software vs. Firmware
Basis for diversity of manufacturers solutions is that each manufacturer provides a customer tool including:
– a different mix of firmware vs. software
– a different mix of firmware vs. software between each level of controller and operator workstation
– a different database architecture
– a unique configuration methodology
– Separate tools for “Programming” including PC software, Kiosk or Dashboard interface tools, etc.
BUT, firmware source code is typically proprietary and inaccessible to the user!
Software vs. Firmware WHAT YOU SHOULD KNOW!
PC software may or may not handle all Operator Interfaces – Much OI is now Dashboard/Browser
Application specific control may not always be in firmware (e.g., Zone and Package Equipment)
The sequences/algorithms in firmware differ between manufacturers (PID is not PID)
Custom Control programming tools (programming language/editor) differ greatly from manufacturer to manufacturer of control systems
Software/Firmware: more details
Software/Firmware: How it is done
Consider some applications
Simple DDC Start/Stop Control
Temperature Control: OCC/UNOCC, Reset, etc..
DDC Thermostat Loop
More Complex Optimal Start/Stop
Demand Limit Control or Demand Response
Chiller Plant Optimization
Boiler Optimization
Here are some examples of the approach
Configuration: Line Program Sequence
Configuration: Function Blocks
Configuration: Graphic Sequence
Programming: Graphic Setpoints
Programming: Graphic Setpoints
Summary of BAEMS Technology
BAEMS = DDC = EMS = BAS
Based on HVAC but entails much more
Multiple Levels of Control: Local - NOC
Multiple interlocked open and closed loops - pressure, temperature, etc.
Global sequences provide building- wide functions, optimization & more
The need for integrating with packaged controls (e.g., RTUs), third-party controls (e.g., chillers), fire alarm systems…is a major challenge
Configuration & Programming differ
Data Communication & Networking A Key Underlying Technology for
Big Data Energy Analytics
Middleware – An essential building block
Quite simply this is technical data but has major impact On System effectiveness and operation
A BAEMS COMMUNICATION SYSTEM
Server on
site or other
network
Node 1 Node 2
After max
distance
Repeater
Network A
Segment A
Media A Node 3
Network A
Segment B
Media A
Bridge (Change media)
Node 5
Router (Inter-networking)
Network B
Segment A
Media D
Network A
Segment C
Media B Node 4
Gateway (Translator)
Protocol A Protocol B
Node 1
Point-to-point
Interface
w or w/o Gateway
Mo
dem
Internet
Server
ASP
Web Browser
with Light
Weight Client
Speed (bps, baud) * Overhead/Headers Topology * Modem Bandwidth * Baseband/Broadband(CATV) Multiplex * Encoding Throughput * OPC Point-to-point, LAN, WAN * Network Operating Systems MAC (media access control) * Network Operating Network Operating Center(NOC) * Inter-network OBIX * OASIS Media (coax, TP, TSP, fiber, IR, power-line) Web Services add much more
Data Communication Terminology
DEFINITION: A set of rules that govern how two or more computers share information over a digital communications system.
Due to the complexity of digital communications, more than one “protocol” is used in a communications system.
Each functional “layer” has a protocol which combines into the protocol “stack”.
The granddaddy of all protocol standards (OSI) dictates how the functions are divided into layers.
What is a Communications Protocol?
Various organizations are involved in developing communications standards:
ISO
ANSI (ASHRAE)
CEN
EIA
IEEE
Each standard typically defines a protocol for a specific layer in a system.
Standards
LEVELS OF “OPEN-NESS”
Low
PROPRIETARY
SHARED - Partners with a gateway
OPEN - Available to all, but not free
DEFACTO STANDARD - e.g. IBM PC
STANDARD - follow ANSI rules
High
Open vs. Standard Protocols
Governed by ANSI
Representation by Users, Manufacturers and Consultants
Consensus Process
Public Review Process
The effort can be reduced for a Defacto Standard
Conformance Testing/Agency
The above does not guarantee product!
The Standards Process
1. Which network technology uses an uninterrupted cable or backbone with terminators?
A. bus B. Star C. Ring D. All of above E. None of above 2. Which command sends out a packet to a specified address and
waits for response? A. Ping B. Netstat C. Traceroute D. None of above 3. Network Hardware device used to connect LAN’s is? A. client B. Router C. packet D. None of above 4. All networks require a dedicated server computer? A. True B. False 5. What type of jack is commonly used for Ethernet networks? A. RJ-11 B. RJ-31X C. RJ45 D. None of above
Network Quiz
TERMINOLOGY
Speed (bps, baud) * Overhead/Headers Topology * Modem Bandwidth * Baseband/Broadband(CATV) Multiplex * Encoding Throughput * OPC Point-to-point, LAN, WAN * Network Operating Systems MAC (media access control) * Network Operating Network Operating Center(NOC) * Inter-network OBIX * OASIS Media (coax, TP, TSP, fiber, IR, power-line) Web Services add much more
Server on
site or other
network
Node 1 Node 2
After max
distance
Repeater
Network A
Segment A
Media A Node 3
Network A
Segment B
Media A
Bridge (Change media)
Node 5
Router (Inter-networking)
Network B
Segment A
Media D
Network A
Segment C
Media B Node 4
Gateway (Translator)
Protocol A Protocol B
Node 1
Point-to-point
Interface
w or w/o Gateway
Mo
dem
Internet
Server
ASP
Web Browser
with Light
Weight Client
A BAEMS COMMUNICATION SYSTEM
An ISO standard
Divides digital communications functions into 7 layers of functionality.
The layers vary in “level of abstraction”:
Think of how abstraction increases as software goes from machine language to a GUI.
The lowest layer (layer one - Physical) deals with wire and electrical signals.
The highest layer (layer seven - Applications) deals with services and data structures.
THE OSI MODEL
Layer One/Physical - Electrical and mechanical characteristics for interface to and transmission on media.
Layer Two/Data Link - Orderly access of the media (media access control or “MAC”) and error control.
Layer Three/Network - Communications across networks (inter-networking), including routing and filtering.
Layer Four/Transport - End-to-end control independent of underlying networks. Segmentation and error checking.
THE OSI MODEL
Layer Five/Session - Maintains communications dialogs through message context marking.
Layer Six/Presentation - Converts messages and/or data between differing applications.
Layer Seven/Applications - Interface to the “user” applications programs, including data structures, services and encoding.
THE OSI MODEL
AN EXAMPLE OF LAYERING
OSI PRODUCTS AND STANDARDS
Repeater - Amplifies signals (layer 1)
Bridge - Changes media or filters traffic (layer 2)
Router - Connects dissimilar LANs, creates an inter-network (layer 3)
Gateway - Converts dissimilar applications and data representations--typically considered a “protocol converter” (layer 6)
SUMMARY OF CRITICAL TERMS
The “Letter/Mail” View of OSI
The Peer-to-Peer view of the OSI
Gateways have been integrated into BAEMS systems as Building-wide or Equipment Controllers (i.e. JACE in JCI, Siemens. Etc.), but many are still stand-alone (Field Service) Do not provide complete communications:
language translations inherently involve ambiguity and “there is no word for…”
Can be expensive they are “one off”
Can be difficult to maintain what if one party changes their protocol
The above can be improved if a standard is “on one side” of the gateway Without gateways all nodes must be “Native”
Gateways... The basis for Middleware
Physical and Logical layout of a LAN
Physical topology is determined by the physical layer protocol - it is the electrical characteristics (media type/speed/length) and route of the signal.
Logical topology is determined by the MAC protocol:
Token Passing is a ring topology
CSMA/CD (Ethernet) is a free topology
TOPOLOGY
Physical Topologies
Most LAN’s allow for a variety of topologies (and media).
To reduce the need for additional equipment, topologies/media should not be mixed.
Therefore controllers on the same network must be specified with the same topology and media.
Most DDC systems will be comprised of an inter-network of low, medium and/or high performance LAN’s.
Physical Topology as it applies to BAS
A BAEMS Inter-Network
Middleware ties together Inter-Networks
•Mapping leverages Middleware
•Access to Sensor data leverages
Middleware
LAN’s in most cases provide access to the Web & local terminals, topologies and media are governed by IT.
System Integrators must address multiple media if it exists and firewall issues.
Now there are BAS & Corporate Inter-networks
Internet access is governed by IP addresses and management of the local LAN
Long term success requires interface with IT for management of LAN and IP addresses
Physical Topology as it applies to the Web
Each layer wraps its “data” in control information to provide:
Message type
Message priority
Context/Segmentation
Error Checking
Encoding rules
Addressing
Data length/Message length = Throughput
Message Formatting
System Integration is all about Inter-Networking and Middleware
BAS Architecture Integration
Integrating Legacy Systems For
Optimization and Data Access
Energy Management, Sustainability
and Analytics
Integration Leverages Middleware & Standards
Smart buildings:
Old School • Technology (me too)
• Engineers – Write Spec
• Contractors (GC, MEP)
• Bid Day wins all - price
• Net Zero Energy?
• … ?
Green Buildings:
Next Frontier • Big Data Energy Analytics
• Energy Star - Benchmark
• Certified Energy Manager
• LEED / PEER
• Economics&Sustainability
• Resilience, Microgrids, DR
• Smart Grid&Perfect Power
Smart Buildings use
Automation, Web services
& Analytics to drive Clean
efficient use of energy and
become Green buildings
Analytics: Demand Response & Microgrids
Energy, Buildings, Web & Big Data Energy Analytics
…the next Frontier
Q & A
Next Module Preview
Analytics Tools, Internet of Things and Standards Driving the Future
Optimization and Data Access via Multi-Disciplinary System Organization
Data Standards and Next Generation Building and Campus Systems
Internet of Things
Definition and Context
Trends Driving the Internet of Things and Building Opportunities
Internet of Everything Meeting Intranet Building Systems for Energy Management
Analytics Tools
Energy and Analytics Best Practices
Cloud Computing and Software as a Services for Energy Management
BAS, Middleware and HVAC-Centric Solutions
Dashboard and API Solutions
Analytics for Measurement and Verification
IPMVP and M&V Science Meets Analytics
Proactive and Predictive M&V
M&V and 21st Century Electricity Markets and Management
Case Studies
Microgrid Campus University
Envision Charlotte
Microsoft - 88 Acres
Big Data and Analytics - Module 4