2021
DOI: 10.1016/j.energy.2021.121276
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Influence of control strategy on seasonal coefficient of performance for a heat pump with low-temperature heat storage in the geographical conditions of Central Europe

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Cited by 13 publications
(6 citation statements)
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“…While short term heat load numerical prediction can be carried out using available statistic data [24], the current study is focused on long-term planning, where goals of national and EU energy policy and different socio-economic factors are taken into account. Planning of DH systems can be performed with different techniques, which are broadly presented in scientific literature [25][26][27].…”
Section: Methodsmentioning
confidence: 99%
“…While short term heat load numerical prediction can be carried out using available statistic data [24], the current study is focused on long-term planning, where goals of national and EU energy policy and different socio-economic factors are taken into account. Planning of DH systems can be performed with different techniques, which are broadly presented in scientific literature [25][26][27].…”
Section: Methodsmentioning
confidence: 99%
“…The seasonal coefficient of performance (SCOP) of a heat pump describes its average performance during the heating and/or cooling season, considering the different energy demands and their variability over time. Many authors have chosen the SCOP as an adequate metric parameter for evaluating the effect of refrigerant drop-in studies [3,4], the effect of the type of compressor used (mono-compressor on/off, multi-compressor, or variable speed compressor) [5][6][7], the effect of the selected bivalent temperature [5,8], the effect of different control strategies [9], or for CO2-emissions and economic analyses of different heating technologies [10] In Europe, Commission Regulation (EU) No. 831/2013 establishes the ecodesign requirements for space heaters, including heat pumps, which evaluation requires the calculation of their seasonal coefficient of performance (SCOP) [11].…”
Section: Heat Pump Descriptionmentioning
confidence: 99%
“…The heating system was monitored for approximately 3.5 months (1 December to 11 March), and the results showed an improvement of the SCOP (2.95) by 26.1% compared to the SCOP (2.34) of the continuous HP operation without a TEST. Kudela et al [23] presented a computational model of a system, consisting of a HP, a low-temperature heat storage and control unit. In the building examined in this study, a low-temperature heating system with a maximum water temperature of 45 • C was installed.…”
Section: Introductionmentioning
confidence: 99%