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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
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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
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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.
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Center StaffCenter Staff
Five Faculty
Seven Research Faculty
Forty Graduate Students
Six Support Staff
$2.2 Million Annual Budget
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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
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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
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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
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3
ATS Solid Desiccant
Capstone Microturbine
Broad Absorp. Chiller
Goettl Engine Driven AC
Kathabar liquid Desiccant
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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
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Thermoflex Model of Trigen PlantThermoflex Model of Trigen Plant
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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
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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
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Agenda
Meeting ObjectivesCEEE & CHP Program OverviewModeling and Optimization Program Overview Technology Focus and Approach
Modeling Tools
Hardware/Software/Person Resources
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Objective
Provide an overview of UMCP CEEE modelingcapabilities and near future perspectiveIdentify resources that can be used to supportthe Initiative
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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
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CEEE Organization
CEEE programs are organized into 4primary areas:
Combined Heat & PowerSystem OptimizationRefrigerant AlternativesAdvanced Heat Exchangers
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CEEE Partners
York Internationalamsung ElectronicsTEWright Patterson AFBocky ResearchOE/ORNLWolverineEPCOensoVisteonropane Res. CouncilaikinUS Armyaval Res. Lab.opelandTrionatsushitaDATrigenagna-SteyrapstoneTridiumG ElectronicsroadTraneathabaraltimore AircoilThermo KingTRITECTecumsehussmanrcelikSanyooneywelldvanced Heat Tr.
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Center Staff
Five Faculty
Seven Research Faculty
Forty Graduate Students
Six Support Staff
$2.2 Million Annual Budget
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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
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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
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Chesapeake Building Equipment
Existing RTU2
Existing RTU1
EDAC(removed)
Solid
Desiccant
LiquidDesiccant
AbsorptionChiller
MicroturbineCHP System 1
CHP System 2
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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
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UMD CHP Plant
2GasTurbines,2HRSG,back
pressuresteamturbineand
steamdrivenchillers
CHPplantprovides27MW
electricity,10,000tonsof
coolingandentiresteamload
tothecampus
Reduceregionalemissionsof
NOx by9,800tons/yearand
CO2 emissionsby3.5milliontonsover20years
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Thermoflex Model of Trigen Plant
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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
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CHP System Online
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Rooftop Unit 2
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Mid-Atlantic CHP Application Center
Mid-AtlanticCHPApplicationCenter(MAAC)isoneof
eightregionalcenters
InitialfundingprovidedbyDOE
Primaryfunctionsare:
Increase awareness of CHP
Provide technical assistance to promisingprojects
PrimarygoalistoincreaseuseofCHP
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Modeling & Optimization
Program Overview
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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
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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 )
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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
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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
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Coil Designer Coil
M d li T l ( td )
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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 )
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Modeling Tools (contd.)
Absorption Chiller Time estimate to reach steady state
Simulate the performance during startup
Temperature control strategy
Part load simulation
Modeling Tools
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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
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VapCyc
TransRef
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TransRef
Modeling Tools
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Modeling Tools
CHPTran Development in progress component
models Goal simulate transient performance of a
CHP system put together by the user
CHPTran
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CHPTran
Modeling Tools
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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
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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
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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
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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
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Attention!!!