Study on model uncertainty of water source heat pump and impact on decision making

MakaleYalnız künyeScopus SJRQ1
  • SDG 6 · Temiz Su ve Sanitasyon
  • SDG 7 · Erişilebilir ve Temiz Enerji
  • SDG 13 · İklim Eylemi

Özet

Water source heat pump systems are widely used for cooling and heating due to high efficiency. The energy source can be surface water or underground water. Accurate modeling of water source heat pump systems is the basis for performance prediction, design and control optimization. However, various heat pump models are available to predict the system performance and results obtained can be very different under different models due to the model uncertainty. Without considering these uncertainties, the performance of water source heat pump systems would be overestimated or underestimated and the decision making would be affected. This paper attempts to quantify the model uncertainty of water source heat pump and its impact on the system performance. Thirteen commonly-used models are selected and validated using the manufacture data. By importing these models into the water source heat pump system, the impact of heat pump model uncertainty on the system performance is quantified. It shows that the model uncertainty can result in a deviation of up to 30% in the annual energy consumption. The energy saving potential of water source heat pump systems can vary from -18.43% to 14.78% compared with the chillers & boiler in the hot summer and cold winter area. The priority of water source heat pump systems is also controversial. The difference in the annual average coefficient of performance of the system can be up to 1.22. It demonstrates that the model uncertainty of water source heat pumps affects the system performance significantly and should be taken into account in building energy prediction and design optimization. The models considering the correction of part load ratio are recommended.

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AlanDeğerDil
dc.contributor.authorZhang, Ying
dc.contributor.authorAkkurt, Nevzat
dc.contributor.authorYuan, Jiaqi
dc.contributor.authorXiao, Ziwei
dc.contributor.authorWang, Qianjiang
dc.contributor.authorGang, Wenjie
dc.date.accessioned2026-10-28T14:56:37.162847063Z
dc.date.available2026-10-28T14:56:37.162847063Z
dc.date.issued2020
dc.description.abstractWater source heat pump systems are widely used for cooling and heating due to high efficiency. The energy source can be surface water or underground water. Accurate modeling of water source heat pump systems is the basis for performance prediction, design and control optimization. However, various heat pump models are available to predict the system performance and results obtained can be very different under different models due to the model uncertainty. Without considering these uncertainties, the performance of water source heat pump systems would be overestimated or underestimated and the decision making would be affected. This paper attempts to quantify the model uncertainty of water source heat pump and its impact on the system performance. Thirteen commonly-used models are selected and validated using the manufacture data. By importing these models into the water source heat pump system, the impact of heat pump model uncertainty on the system performance is quantified. It shows that the model uncertainty can result in a deviation of up to 30% in the annual energy consumption. The energy saving potential of water source heat pump systems can vary from -18.43% to 14.78% compared with the chillers & boiler in the hot summer and cold winter area. The priority of water source heat pump systems is also controversial. The difference in the annual average coefficient of performance of the system can be up to 1.22. It demonstrates that the model uncertainty of water source heat pumps affects the system performance significantly and should be taken into account in building energy prediction and design optimization. The models considering the correction of part load ratio are recommended.
dc.description.sponsorshipNational Natural Science Foundation of China, NSFC, (51808238)
dc.description.sponsorshipNational Natural Science Foundation of China, NSFC
dc.description.sponsorshipHuazhong University of Science and Technology, HUST, (300426110)
dc.description.sponsorshipHuazhong University of Science and Technology, HUST
dc.identifier.articlenumber109950
dc.identifier.doi10.1016/j.enbuild.2020.109950
dc.identifier.eissn1872-6178
dc.identifier.issn0378-7788
dc.identifier.scopus2-s2.0-85081987073
dc.identifier.urihttps://rdlopen.rawdatalibrary.net/r/munzur/3423
dc.identifier.volume216
dc.identifier.wosWOS:000530656800007
dc.language.isoen
dc.publisherElsevier Ltd
dc.relation.ispartofEnergy and Buildings
dc.rightsinfo:eu-repo/semantics/closedAccess
dc.subjectDecision making
dc.subjectEnergy efficiency
dc.subjectEnergy saving
dc.subjectGround source heat pump
dc.subjectModel uncertainty
dc.subjectWater source heat pump
dc.subject.classificationConstruction & Building Technology
dc.subject.classificationEnergy & Fuels
dc.subject.classificationEngineering, Civil
dc.subject.classificationEngineering
dc.subject.otherCoefficient of performance
dc.subject.otherCooling systems
dc.subject.otherDecision making
dc.subject.otherEnergy conservation
dc.subject.otherEnergy efficiency
dc.subject.otherEnergy utilization
dc.subject.otherForecasting
dc.subject.otherGroundwater
dc.subject.otherPumps
dc.subject.otherSurface waters
dc.subject.otherUncertainty analysis
dc.subject.otherAnnual energy consumption
dc.subject.otherDesign optimization
dc.subject.otherEnergy saving potential
dc.subject.otherHot summer and cold winters
dc.subject.otherModel uncertainties
dc.subject.otherPerformance prediction
dc.subject.otherWater source heat pump
dc.subject.otherWater source heat pump system
dc.subject.otherGeothermal heat pumps
dc.titleStudy on model uncertainty of water source heat pump and impact on decision making
dc.typeArticle
rdl.citation.openalex45
rdl.citation.scopus40
rdl.citation.wos34
rdl.oa.statusclosed
rdl.scopus.quartileQ1
rdl.sdgSDG07
rdl.sdgSDG13
rdl.sdgSDG06
rdl.source.indexSCOPUS
rdl.source.indexWOS
rdl.wos.indexScience Citation Index Expanded (SCI-EXPANDED)