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dc.date.accessioned2021-03-11T10:06:34Z
dc.date.available2021-03-11T10:06:34Z
dc.date.issued2019-12-20
dc.identifierdoi:10.17170/kobra-202103103481
dc.identifier.urihttp://hdl.handle.net/123456789/12614
dc.descriptionSiehe auch: Renewable and Sustainable Energy Reviews, Volume 137, 110646, 2020, https://doi.org/10.1016/j.rser.2020.110646ger
dc.description.sponsorshipThis work was supported by the German Federal Ministry for Economic Affairs and Energy within the framework of the 6th Energy Research Program [project: “SolarAutomotive”, grant number 0325863A].ger
dc.language.isoengeng
dc.rightsNamensnennung 4.0 International*
dc.rightsNamensnennung - Weitergabe unter gleichen Bedingungen 4.0 International*
dc.rights.urihttp://creativecommons.org/licenses/by-sa/4.0/*
dc.subjectheat pumpeng
dc.subjecthigh temperatureeng
dc.subjectCOPeng
dc.subjecttemperature lifteng
dc.subjectstate of technologyeng
dc.subjectfeasibility assessmenteng
dc.subject.ddc333
dc.subject.ddc620
dc.titleLarge-scale heat pumps: market potential and barriers, classification and estimation of efficiencyeng
dc.typePreprint
dcterms.abstractHeat pumps powered by renewable electricity have a significant potential to become a critical technology to disruptively decarbonize an economy. An essential step towards this goal is the development of an accurate understanding and model of how heat pumps in large-scale implementations perform in terms of economics, energy, and the environment. In this study, the influence of system design and operating conditions on the Coefficient of Performance (COP) of large-scale (> 50 kWth) electric driven mechanical compression heat pumps is reviewed, leading to a methodology to estimate a heat pump’s performance depending on the operating conditions. An overview of the potential scale, market size and barriers for large-scale heat pumps with a focus on applications in industry, commerce and district heating systems is given. The review underscores the knowledge gap in the area of large-scale heat pumps including their lack of performance testing standards given the large window of operating conditions as well as meaningful application possibilities. Transferring a significant and reliable dataset to practitioners (e.g. energy-managers and consultants) can close this knowledge gap. Therefore, this study assembles a comprehensive dataset for the system configuration and performance of 33 large-scale heat pumps from 11 different manufacturers and addresses three main objectives: (1) Classifying and evaluating the capabilities of market available heat pumps. (2) Modelling the correlation between the COP and the operating conditions. (3) Developing an economic and ecological evaluation method for a heat pump project. Applying the developed models to accurately assess real-world performance and build a sound business case for large-scale heat pumps has the potential to accelerate the uptake of renewable energy and help improve overall environmental sustainability.eng
dcterms.accessRightsopen access
dcterms.creatorJesper, Mateo
dcterms.creatorSchlosser, Florian
dcterms.creatorPag, Felix
dcterms.creatorSchmitt, Bastian
dcterms.creatorWalmsley, Timothy Gordon
dcterms.creatorVajen, Klaus
dc.contributor.corporatenameKassel, Universität Kassel, Fachbereich Maschinenbau, Fachgebiet Solar- und Anlagentechnikger
dc.relation.doidoi:10.1016/j.rser.2020.110646
dc.relation.projectid0325863A
dc.subject.swdWärmepumpeger
dc.subject.swdHochtemperaturger
dc.subject.swdStand der Technikger
dc.subject.swdWirtschaftlichkeitger
dc.subject.swdEnergieeffizienzger
dc.subject.swdGroßanlagenbauger
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Except where otherwise noted, this item's license is described as Namensnennung 4.0 International