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BIG DATA & ANALYTICS… THE NEXT FRONTIER FOR ENERGY MANAGEMENT Module 3 Jack McGowan, CEM

ENERGY MANAGEMENT Module 3 - MAEEP DATA... · Larger and Distributed DDC systems require multiple, networked DDC Panels Evolution of Control Systems Each Manufacturer “invents”

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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