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Control and
optimization
components
User
components
Economic
components
OPTI - Framework
Operator
Engineer Real
Physical
Infrastructure
Virtualized
Physical
Infrastructure
Market
Consumer
Engineer
OPTi - Vision
Expected outcome
Measurable targets
Project details
Consortium
Approach
The Challenge
OPTi mization of District Heating and Cooling Systems
Forutilitycompaniesandserviceproviders:
ŸOPTi-SimenvironmentforDHCsystemvirtualization.
ŸIntegratedtoolsetforoptimizationandre-designofDHCsystems.
ŸMethodologies for passive thermal storage usage and automated
demandresponsetoreduceandshiftpeakloads.
Forconsumers:
ŸIncentive models that promote user engagement in heat demand
response.
ŸUser-centricoptimizationmethodsforimprovedcomfort.
Ÿatleast30%lessenergyconsumed.
Ÿatleast40%peakloadreduction.
Ÿ95%accuracyinrepresentingreallifeeventsinthevirtualizedDHC
system.
ŸUser-accepted temperature comfort zone widened by at least 2
degreesCelsius.
ŸIncreased economic benefit for consumer and utility company by
atleast15%.
ŸStarting date: 2015-03-01
ŸDuration: 32 months
ŸGrant total: 2.1M€
ŸPilot sites: Luleå Energi AB (Sweden)
Sampol (Mallorca/Spain)
ŸCoordinator: Arne Gylling (main), Wolfgang Birk (co)
Luleå University of Technology (Sweden)
ŸLuleå University of Technology, Sweden (LTU)
ŸAthens University of Economics and Business, Greece (AUEB)
ŸIBM India Private Limited, India (IBM)
ŸLuleå Energi AB, Sweden (LEN)
ŸOptimation AB, Sweden (OPN)
ŸRheinisch-Westfälische Techn. Hochschule Aachen, Germany (RTHA)
ŸTWT GmbH Science & Innovation, Germany (TWT)
ŸSAMPOL Ingenieria Y Obras, Spain (SMPL)
ŸDevelop combining state-of-the-art technologiesand
by researchbeyondstateoftheart.
ŸCombine OPTi-Sim with representations of the control
mechanisms (DCS system) and interface them with the real
physicalsystem,which yieldstheOPTiframework.
ŸDevelop engineering tools for the design of new and the re-design
ofexistingDHCsystems.
ŸExtend optimization-based control methods and automated heat
Demand Response methods which exploit passive heat storage
capabilities.
ŸInvolve end-consumers in the optimal DHC system operation, by
analysing and determining consumers’ temperature comfort
perception.
ŸEnhancecreativityandinnovationthroughgenderperspective.
OPTi-Simby
Rethinking and innovating the design and operation of district heating & cooling systems
This project has received funding from the European Union’s Horizon 2020
research and innovation programme under the grant agreement Nº649796
Research and Innovation Actions Call: H2020-EE-2014-2-RIA
ŸDistrict heating and cooling (DHC) systems play a vital role in many
citiesandfacilities.
ŸControl systems are often outdated and based on rule-of-thumb
techniques.
ŸThehumanfactorandrecurrentusepatternsarenotconsideredin
thecontrolofDHCsystems.
ŸPassive storage opportunities, such as pre-heating or pre-cooling,
arenotfullyexploitedyet.
ŸSystematic methods for protecting the system performance in
casesofpeakdemandforheatarelacking.
ŸTo create a long-lasting impact by rethinking the way DHC systems
aredesigned, managed,controlledandoperated.
ŸTo research and develop a virtualized DHC system for
simultaneousoperation,calledOPTi-Sim.
ŸTo create durable business benefits with ensured optimal end-
consumersatisfactionandengagement.
ŸToreducetheimpactoftheDHCoperationontheenvironment.
LULEÅ PILOT
MALLORCA PILOT

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OPTi_Poster

  • 1. Control and optimization components User components Economic components OPTI - Framework Operator Engineer Real Physical Infrastructure Virtualized Physical Infrastructure Market Consumer Engineer OPTi - Vision Expected outcome Measurable targets Project details Consortium Approach The Challenge OPTi mization of District Heating and Cooling Systems Forutilitycompaniesandserviceproviders: ŸOPTi-SimenvironmentforDHCsystemvirtualization. ŸIntegratedtoolsetforoptimizationandre-designofDHCsystems. ŸMethodologies for passive thermal storage usage and automated demandresponsetoreduceandshiftpeakloads. Forconsumers: ŸIncentive models that promote user engagement in heat demand response. ŸUser-centricoptimizationmethodsforimprovedcomfort. Ÿatleast30%lessenergyconsumed. Ÿatleast40%peakloadreduction. Ÿ95%accuracyinrepresentingreallifeeventsinthevirtualizedDHC system. ŸUser-accepted temperature comfort zone widened by at least 2 degreesCelsius. ŸIncreased economic benefit for consumer and utility company by atleast15%. ŸStarting date: 2015-03-01 ŸDuration: 32 months ŸGrant total: 2.1M€ ŸPilot sites: Luleå Energi AB (Sweden) Sampol (Mallorca/Spain) ŸCoordinator: Arne Gylling (main), Wolfgang Birk (co) Luleå University of Technology (Sweden) ŸLuleå University of Technology, Sweden (LTU) ŸAthens University of Economics and Business, Greece (AUEB) ŸIBM India Private Limited, India (IBM) ŸLuleå Energi AB, Sweden (LEN) ŸOptimation AB, Sweden (OPN) ŸRheinisch-Westfälische Techn. Hochschule Aachen, Germany (RTHA) ŸTWT GmbH Science & Innovation, Germany (TWT) ŸSAMPOL Ingenieria Y Obras, Spain (SMPL) ŸDevelop combining state-of-the-art technologiesand by researchbeyondstateoftheart. ŸCombine OPTi-Sim with representations of the control mechanisms (DCS system) and interface them with the real physicalsystem,which yieldstheOPTiframework. ŸDevelop engineering tools for the design of new and the re-design ofexistingDHCsystems. ŸExtend optimization-based control methods and automated heat Demand Response methods which exploit passive heat storage capabilities. ŸInvolve end-consumers in the optimal DHC system operation, by analysing and determining consumers’ temperature comfort perception. ŸEnhancecreativityandinnovationthroughgenderperspective. OPTi-Simby Rethinking and innovating the design and operation of district heating & cooling systems This project has received funding from the European Union’s Horizon 2020 research and innovation programme under the grant agreement Nº649796 Research and Innovation Actions Call: H2020-EE-2014-2-RIA ŸDistrict heating and cooling (DHC) systems play a vital role in many citiesandfacilities. ŸControl systems are often outdated and based on rule-of-thumb techniques. ŸThehumanfactorandrecurrentusepatternsarenotconsideredin thecontrolofDHCsystems. ŸPassive storage opportunities, such as pre-heating or pre-cooling, arenotfullyexploitedyet. ŸSystematic methods for protecting the system performance in casesofpeakdemandforheatarelacking. ŸTo create a long-lasting impact by rethinking the way DHC systems aredesigned, managed,controlledandoperated. ŸTo research and develop a virtualized DHC system for simultaneousoperation,calledOPTi-Sim. ŸTo create durable business benefits with ensured optimal end- consumersatisfactionandengagement. ŸToreducetheimpactoftheDHCoperationontheenvironment. LULEÅ PILOT MALLORCA PILOT