Seasonal COP of an Air-to-Water Heat Pump when Using Predictive Control Preferring Power Production from Renewable Sources in the Czech Republic

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dc.contributor.authorPospíšil, Jiřícs
dc.contributor.authorŠpiláček, Michalcs
dc.contributor.authorCharvát, Pavelcs
dc.coverage.issue17cs
dc.coverage.volume12cs
dc.date.accessioned2020-08-18T10:57:49Z
dc.date.available2020-08-18T10:57:49Z
dc.date.issued2019-08-22cs
dc.description.abstractThe paper presents a parametric study evaluating the effects of various predictive controls on the operating parameters of heat pumps. The heat pump represents a significant power appliance in the residential sector. Its connection to the heat accumulator creates a system with considerable potential to control electricity consumption according to the needs of the electricity grid. The air-water heat pump is considered in this study. A predictive control is used for priority operation of the heat pump at periods of peak power production from renewable sources. The following were tested as the parameters of predictive control: outdoor air temperature, photovoltaic power production and wind power production. The combination of photovoltaic and wind power production was also tested. A parametric analysis considering different sizes for the thermal accumulator and the heating capacity of the heat pump were proposed. The benefits of predictive control are evaluated based on historical records of meteorological data from 2015 to 2018 in the city of Brno, Czech Republic. The data on the historical development of the real electrical energy production from renewable sources in the Czech Republic are used for regulation control in a monitored period. The main comparison parameter is the heat pump seasonal coefficient of performance (SCOP). From the carried out study results, an increase in SCOP by 14% was identified for priority operation of heat pump (HP ) at periods with highest outdoor air temperature. Priority operation of HP at periods with peak photovoltaic (PV) production increased SCOP by 10.25%. A decrease in SCOP only occurred in case with priority operation of HP at peak production of wind power plants. Increasing the size of the accumulator contributes to an increase in SCOP in all assessed modifications of predictive control.en
dc.formattextcs
dc.format.extent1-13cs
dc.format.mimetypeapplication/pdfcs
dc.identifier.citationENERGIES. 2019, vol. 12, issue 17, p. 1-13.en
dc.identifier.doi10.3390/en12173236cs
dc.identifier.issn1996-1073cs
dc.identifier.other158144cs
dc.identifier.urihttp://hdl.handle.net/11012/194793
dc.language.isoencs
dc.publisherMDPIcs
dc.relation.ispartofENERGIEScs
dc.relation.urihttps://www.mdpi.com/1996-1073/12/17/3236cs
dc.rightsCreative Commons Attribution 4.0 Internationalcs
dc.rights.accessopenAccesscs
dc.rights.sherpahttp://www.sherpa.ac.uk/romeo/issn/1996-1073/cs
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/cs
dc.subjectheat pumpen
dc.subjectpredictive controlen
dc.subjectrenewable energyen
dc.subjectseasonal coefficient of performanceen
dc.titleSeasonal COP of an Air-to-Water Heat Pump when Using Predictive Control Preferring Power Production from Renewable Sources in the Czech Republicen
dc.type.driverarticleen
dc.type.statusPeer-revieweden
dc.type.versionpublishedVersionen
sync.item.dbidVAV-158144en
sync.item.dbtypeVAVen
sync.item.insts2020.08.18 12:57:49en
sync.item.modts2020.08.18 12:15:35en
thesis.grantorVysoké učení technické v Brně. Fakulta strojního inženýrství. EÚ-odbor energetického inženýrstvícs
thesis.grantorVysoké učení technické v Brně. Fakulta strojního inženýrství. EÚ-odbor termomechaniky a techniky prostředícs
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