+ All Categories
Home > Documents > Umd Maryland 2004

Umd Maryland 2004

Date post: 30-May-2018
Category:
Upload: sebascian
View: 216 times
Download: 0 times
Share this document with a friend

of 49

Transcript
  • 8/14/2019 Umd Maryland 2004

    1/49

    11

    Combined Heat & Power ProgramsCombined Heat & Power Programsat theat the

    Center for EnvironmentalCenter for EnvironmentalEnergy EngineeringEnergy Engineering

    Dennis Moran, DirectorDennis Moran, Director

    MidMid--Atlantic CHP Application CenterAtlantic CHP Application Center

  • 8/14/2019 Umd Maryland 2004

    2/49

    33

    CEEE OrganizationCEEE Organization

    CEEE programs are organized into 4CEEE programs are organized into 4

    primary program areas:primary program areas:

    Combined Heat & PowerCombined Heat & Power

    System OptimizationSystem Optimization

    Refrigerant AlternativesRefrigerant Alternatives

    Advanced Heat ExchangersAdvanced Heat Exchangers

  • 8/14/2019 Umd Maryland 2004

    3/49

    44

    CEEE PartnersCEEE Partners

    York InternationalSamsung ElectronicsDTE

    Wright Patterson AFBRocky ResearchDOE/ORNL

    WolverinePEPCODensoVisteonPropane Res. CouncilDaikin

    US ArmyNaval Res. Lab.Copeland

    TrionMatsushitaCDATrigenMagna-SteyrCapstone

    TridiumLG ElectronicsBroad

    TraneKathabarBaltimore Aircoil

    Thermo KingITRIATEC

    TecumsehHussmanArcelik

    SanyoHoneywellAdvanced Heat Tr.

  • 8/14/2019 Umd Maryland 2004

    4/49

    55

    Center StaffCenter Staff

    Five Faculty

    Seven Research Faculty

    Forty Graduate Students

    Six Support Staff

    $2.2 Million Annual Budget

  • 8/14/2019 Umd Maryland 2004

    5/49

    66

    CHP at UMDCHP at UMD

    CHP activities at the UMD include:CHP activities at the UMD include:

    CEEE CHP ConsortiumCEEE CHP Consortium

    CHP Integration Test CenterCHP Integration Test Center ChesapeakeChesapeake

    BuildingBuildingCampus CHP SystemCampus CHP System TrigenTrigen--CinergyCinergy

    Solutions SystemSolutions System

    MidMid--Atlantic CHP Application CenterAtlantic CHP Application Center

  • 8/14/2019 Umd Maryland 2004

    6/49

    77

    CHP ConsortiumCHP Consortium

    Integration Test CenterIntegration Test Center MicroMicro--turbineturbine --> Absorption Chiller> Absorption Chiller--> Solid Desiccant System> Solid Desiccant System

    EngineEngine--driven AC (Engine Gendriven AC (Engine Gen--set)set)--> Liquid Desiccant System> Liquid Desiccant System 27MW Campus CHP Plant Analysis and Optimization27MW Campus CHP Plant Analysis and Optimization

    NoNo--coolingcooling--tower Absorption Systemtower Absorption System

    Propane OperationPropane Operation

    Optimization: Design and OperationOptimization: Design and Operation

    SteadySteady--state and Transient CHP Modelsstate and Transient CHP Models

    DiagnosticsDiagnostics

    WebWeb--based CHP Handbookbased CHP Handbook

    Projects

    Long Range Goals: Optimum Integration of Subsystems

    Verified, Dynamic Models for Controls and Optimization

  • 8/14/2019 Umd Maryland 2004

    7/49

    88

    CHP Test Center FocusCHP Test Center Focus

    CHP integrates dissimilar equipmentCHP integrates dissimilar equipment

    Components are generally designed to do one job wellComponents are generally designed to do one job well MT produce powerMT produce power

    Desiccants dry airDesiccants dry air

    Absorption chillers produce chilled waterAbsorption chillers produce chilled waterMany additional benefits are obtainable when design isMany additional benefits are obtainable when design is

    aimed at system level from startaimed at system level from start

    We want an INTEGRATED SYSTEM that is clean,We want an INTEGRATED SYSTEM that is clean,reliable, efficient and cost effectivereliable, efficient and cost effective

  • 8/14/2019 Umd Maryland 2004

    8/49

    99

    3

    ATS Solid Desiccant

    Capstone Microturbine

    Broad Absorp. Chiller

    Goettl Engine Driven AC

    Kathabar liquid Desiccant

  • 8/14/2019 Umd Maryland 2004

    9/49

    1010

    Issues EncounteredIssues Encountered

    System integration issues we have encountered include:System integration issues we have encountered include:

    Parameter compatibilityParameter compatibility

    Exhaust temperatures vs. waste heat temp. requirementsExhaust temperatures vs. waste heat temp. requirementsStandardizationStandardization Metric bolts, English nuts, specialist wiring harness tools, staMetric bolts, English nuts, specialist wiring harness tools, starr--shapedshaped

    socketssockets

    Transformers, fuses, voltages (5,12,24,120,230,277,480V AC/DC)Transformers, fuses, voltages (5,12,24,120,230,277,480V AC/DC)Frequent duplicationFrequent duplication SensorsSensors

    EnclosuresEnclosures

    User InterfacesUser Interfaces Controllers andControllers and software driverssoftware drivers

    Duplicate maintenance contracts, inconsistent manualsDuplicate maintenance contracts, inconsistent manuals

  • 8/14/2019 Umd Maryland 2004

    10/49

  • 8/14/2019 Umd Maryland 2004

    11/49

    1212

    Thermoflex Model of Trigen PlantThermoflex Model of Trigen Plant

  • 8/14/2019 Umd Maryland 2004

    12/49

    1313

    MidMid--Atlantic CHP Application CenterAtlantic CHP Application Center

    MidMid--Atlantic CHP Application Center (MAAC) is one ofAtlantic CHP Application Center (MAAC) is one of

    eight regional centerseight regional centersInitial funding provided by DOEInitial funding provided by DOE

    Primary functions are:Primary functions are:

    Increase awareness of CHPIncrease awareness of CHP

    Provide technical assistance for promising projectsProvide technical assistance for promising projects

    Primary goal is to increase use of CHPPrimary goal is to increase use of CHP

  • 8/14/2019 Umd Maryland 2004

    13/49

    National Advanced Building TestbedInitiative

    Modeling Workshop at University of MarylandNovember 18, 2004

    Reinhard Radermacher, Dennis Moran, Vikrant AuteUniversity of Maryland College Park

    University of MarylandModeling & Optimization Projects Overview

  • 8/14/2019 Umd Maryland 2004

    14/49

    2

    Agenda

    Meeting ObjectivesCEEE & CHP Program OverviewModeling and Optimization Program Overview Technology Focus and Approach

    Modeling Tools

    Hardware/Software/Person Resources

  • 8/14/2019 Umd Maryland 2004

    15/49

    3

    Objective

    Provide an overview of UMCP CEEE modelingcapabilities and near future perspectiveIdentify resources that can be used to supportthe Initiative

  • 8/14/2019 Umd Maryland 2004

    16/49

    4

    CEEE Vision and Mission

    Vision International leader in research and education in

    environmentallyacceptable,

    economicfeasibleThermal Management Systems, that are

    optimized for minimum cost, volume, weight, maximumreliability or other relevant parameters

    Mission To provide knowledge in support of strategic technology

    decisions

    R&D of new components and systems

    Verified, user-friendly tools for simulation and optimization

    Timely results and tech-transfer

    Education of next generation of team oriented engineeringprofessionals

  • 8/14/2019 Umd Maryland 2004

    17/49

    5

    CEEE Organization

    CEEE programs are organized into 4primary areas:

    Combined Heat & PowerSystem OptimizationRefrigerant AlternativesAdvanced Heat Exchangers

  • 8/14/2019 Umd Maryland 2004

    18/49

    6

    CEEE Partners

    York Internationalamsung ElectronicsTEWright Patterson AFBocky ResearchOE/ORNLWolverineEPCOensoVisteonropane Res. CouncilaikinUS Armyaval Res. Lab.opelandTrionatsushitaDATrigenagna-SteyrapstoneTridiumG ElectronicsroadTraneathabaraltimore AircoilThermo KingTRITECTecumsehussmanrcelikSanyooneywelldvanced Heat Tr.

  • 8/14/2019 Umd Maryland 2004

    19/49

    7

    Center Staff

    Five Faculty

    Seven Research Faculty

    Forty Graduate Students

    Six Support Staff

    $2.2 Million Annual Budget

  • 8/14/2019 Umd Maryland 2004

    20/49

    8

    CHP at UMD

    CHP activities at the UMD include:CEEE CHP ConsortiumCHP Integration Test Center ChesapeakeBuildingCampus CHP System Trigen SystemMid-Atlantic CHP Application CenterNational Advanced Building Testbed Initiativesupport

  • 8/14/2019 Umd Maryland 2004

    21/49

    9

    CHP Consortium

    IntegrationTestCenter Micro-turbine -> Absorption Chiller -> Solid Desiccant System

    Engine-driven AC (Engine Gen-set)-> Liquid Desiccant System

    27MW Campus CHP Plant Analysis and Optimization

    Absorption system with dry cooling-tower

    Propane Operation

    Optimization:DesignandOperation

    Steady-stateandTransientCHPModels

    Diagnostics

    Web-basedCHPHandbook

    Projects

    Long Range Goals: Optimum Integration of Subsystems

    Verified, Dynamic Models for Controls and Optimization

  • 8/14/2019 Umd Maryland 2004

    22/49

  • 8/14/2019 Umd Maryland 2004

    23/49

    11

    Chesapeake Building Equipment

    Existing RTU2

    Existing RTU1

    EDAC(removed)

    Solid

    Desiccant

    LiquidDesiccant

    AbsorptionChiller

    MicroturbineCHP System 1

    CHP System 2

  • 8/14/2019 Umd Maryland 2004

    24/49

    12

    Issues Encountered

    Issuesencounteredinthetestprograminclude:

    Thermalparametercompatibility

    Temp of exhaust/cooling water temp vs. TAT temprequirements

    Standardization

    Metric bolts, English nuts, special wiring harness tools, star-shaped sockets

    Transformers, fuses, voltages (5,12,24,120,230,277,480VAC/DC)

    Frequentduplication

    Sensors

    Enclosures

    User interfaces

    Controllers and software drivers

    Duplicatemaintenancecontracts

    Inconsistentmanuals

  • 8/14/2019 Umd Maryland 2004

    25/49

    13

    UMD CHP Plant

    2GasTurbines,2HRSG,back

    pressuresteamturbineand

    steamdrivenchillers

    CHPplantprovides27MW

    electricity,10,000tonsof

    coolingandentiresteamload

    tothecampus

    Reduceregionalemissionsof

    NOx by9,800tons/yearand

    CO2 emissionsby3.5milliontonsover20years

  • 8/14/2019 Umd Maryland 2004

    26/49

    14

    Thermoflex Model of Trigen Plant

  • 8/14/2019 Umd Maryland 2004

    27/49

    15

    CHP System Monitoring

    Tridium Niagara Framework System integration platform for diverse thermal

    systems Used for control, data logging & reporting, and alarms Independent of communication protocol & manufacturer

    Web interface

    In system 2, Niagara program used to: Monitor the system (data logging by separate system)

    Set operation schedules

    Send alarms and alerts Control CHP system & RTUs

    Additional details at www.tridium.com

  • 8/14/2019 Umd Maryland 2004

    28/49

    16

    CHP System Online

  • 8/14/2019 Umd Maryland 2004

    29/49

  • 8/14/2019 Umd Maryland 2004

    30/49

    18

    Rooftop Unit 2

  • 8/14/2019 Umd Maryland 2004

    31/49

    19

    Mid-Atlantic CHP Application Center

    Mid-AtlanticCHPApplicationCenter(MAAC)isoneof

    eightregionalcenters

    InitialfundingprovidedbyDOE

    Primaryfunctionsare:

    Increase awareness of CHP

    Provide technical assistance to promisingprojects

    PrimarygoalistoincreaseuseofCHP

  • 8/14/2019 Umd Maryland 2004

    32/49

    20

    Modeling & Optimization

    Program Overview

  • 8/14/2019 Umd Maryland 2004

    33/49

    21

    Technology Focus

    Modeling steady state and transient thermalsystemsOptimization of components and system for firstand operating cost, performance, energyefficiency etc.Development of validated, robust and scalablecomponent and system modelsTechnology transfer user-friendlycustomizable and component based modelingsoftware

    h l h

  • 8/14/2019 Umd Maryland 2004

    34/49

    22

    Technology Approach

    Thermodynamic/engineering Expertise Available from faculty/students at the Center

    Development Platform Microsoft .NET

    Models can be used in EES, Matlab, Excel, KULI,

    other simulation tools

    Property Libraries NIST Refprop 7.0, PPDS (in evaluation)

    In-house refrigerant property libraries 500 timesfaster than commercially available

    T h l A h ( td )

  • 8/14/2019 Umd Maryland 2004

    35/49

    23

    Technology Approach (contd.)

    Equation Solvers, Optimization Tools Solver libraries for linear/non-linear equation

    Differential equation solvers problem specific

    Gradient-based optimization routines Single/Multi-Objective Genetic Algorithms

    Component Standards Defines component model interfaces Allows interaction with external modeling tools, calling from EES,

    Matlab, KULI etc.

    Facilitates third-party component development

    Components can reside on local or remote computerHardware CEEE Laboratories

    M d li T l

  • 8/14/2019 Umd Maryland 2004

    36/49

    24

    Modeling Tools

    Coil Designer User-friendly simulation and optimization software for air-

    cooled heat exchangers, steady state

    Tube-fin, micro-channel and wire-fin coils

    Ability to add external refrigerants and correlations

    Highly flexible and customizable

    Validated with data from several sourcesAccumulator Simulation of accumulators, steady state

    Detailed geometry and loss coefficient inputs Validated with data from sponsoring organization

    C il D i C il

  • 8/14/2019 Umd Maryland 2004

    37/49

    25

    Coil Designer Coil

    M d li T l ( td )

  • 8/14/2019 Umd Maryland 2004

    38/49

    26

    Modeling Tools (contd.)

    Compressor Simulation Detailed simulation of positive displacement

    compressors and expanders

    Single thermodynamic simulation, separate geometryinput for different devices

    Accounts for internal leakages, internal heat transfer

    and valve lossesDessicant Wheel Transient model of desiccant wheel

    Component based, will be used in CHP systemsimulation in future

    Modeling Tools (contd )

  • 8/14/2019 Umd Maryland 2004

    39/49

    27

    Modeling Tools (contd.)

    Absorption Chiller Time estimate to reach steady state

    Simulate the performance during startup

    Temperature control strategy

    Part load simulation

    Modeling Tools

  • 8/14/2019 Umd Maryland 2004

    40/49

    28

    Modeling Tools

    VapCyc Simulation of vapor compression cycles, steady state

    Conventional (R22/R134a) and unconventional (CO2

    ) cyclesimulation

    User can add and change component models

    TransRef Transient simulation of refrigerators, single and dual

    evaporator systems

    User changeable component models

    User configurable cabinet models, can be extended toautomotive passenger cabins

    VapCyc

  • 8/14/2019 Umd Maryland 2004

    41/49

    29

    VapCyc

    TransRef

  • 8/14/2019 Umd Maryland 2004

    42/49

    30

    TransRef

    Modeling Tools

  • 8/14/2019 Umd Maryland 2004

    43/49

    31

    Modeling Tools

    CHPTran Development in progress component

    models Goal simulate transient performance of a

    CHP system put together by the user

    CHPTran

  • 8/14/2019 Umd Maryland 2004

    44/49

    32

    CHPTran

    Modeling Tools

  • 8/14/2019 Umd Maryland 2004

    45/49

    33

    Modeling Tools

    Optimization Eventually all designs have to be optimized

    Steady state (first cost, efficiency) or transientperformance (control algorithms, operating cost)optimization

    Focus on gradient based and Genetic Algorithms for

    optimization Successfully applied Single and Multiobjective optimization

    algorithms for air-conditioning components and systems

    Multiobjective optimization demonstrated significantpotential, especially with Multiobjective Genetic Algorithms(MOGA)

    Optimization Case Study

  • 8/14/2019 Umd Maryland 2004

    46/49

    34

    Optimization Case Study

    Normalized Coil Cost vs. Heat Load (MOGA1, 500 Iterations)

    Normalized Heat Load

    0.7 0.8 0.9 1.0 1.1 1.2

    NormalizedCoilCo

    st

    0.7

    0.8

    0.9

    1.0

    1.1

    1.2

    MOGA1-500 Results

    Baseline Case

    Multiobjective optimizationResults Pareto Solutions

    Optimization Case Study

  • 8/14/2019 Umd Maryland 2004

    47/49

    35

    Optimization Case Study

    Infeasible & Pareto Solutions for Condenser Units

    Normalized Heat Load0.2 0.4 0.6 0.8 1.0 1.2 1.4

    Norm

    alizedCost

    0.6

    0.8

    1.0

    1.2

    1.4

    1.6

    Pareto SolutionsInfeasible Solutions

    Multiobjective optimizationResults Infeasible and Pareto

    Solutions

    Application Examples of GA

  • 8/14/2019 Umd Maryland 2004

    48/49

    36

    Application Examples of GA

    Beneficial in problems with bothcontinuous and discrete variablesCan be coupled with all CEEE modelingtoolsCoupling with Thermo Flex, KULI etc.through Excel or otherwiseCan be used for real-time controloptimization

    Thank You for Your

  • 8/14/2019 Umd Maryland 2004

    49/49

    Paper R-037

    37

    Attention!!!


Recommended