Energy and Cost Analysis of an Integrated Photovoltaic and Heat Pump Domestic System Considering Heating and Cooling Demands

Mikel Arenas-Larrañaga (), Maider Santos-Mugica, Laura Alonso-Ojanguren and Koldobika Martin-Escudero
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Mikel Arenas-Larrañaga: TECNALIA, Basque Research and Technology Alliance (BRTA), Area Anardi 5, ES-20730 Azpeitia, Spain
Maider Santos-Mugica: TECNALIA, Basque Research and Technology Alliance (BRTA), Area Anardi 5, ES-20730 Azpeitia, Spain
Laura Alonso-Ojanguren: TECNALIA, Basque Research and Technology Alliance (BRTA), Area Anardi 5, ES-20730 Azpeitia, Spain
Koldobika Martin-Escudero: ENEDI Research Group, Department of Energy Engineering, University of the Basque Country (UPV/EHU), Torres Quevedo 1, ES-48013 Bilbao, Spain

Energies, 2023, vol. 16, issue 13, 1-27

Abstract: The integration of photovoltaic panels and heat pumps in domestic environments is a topic that has been studied extensively. Due to their electrical nature and the presence of elements that add thermal inertia to the system (water tanks and the building itself), the functioning of compression heat pumps can be manipulated to try to fulfill a certain objective. In this paper, following a rule-based control concept that has been identified in commercial solutions and whose objective is to improve the self-consumption of the system by actively modulating the heat pump compressor, a parametric analysis is presented. By making use of a lab-tested model, the performance of the implemented control algorithm is analyzed. The main objective of this analysis is to identify and quantify the effects of the main parameters in the performance of the system, namely the climate (conditioning both heating and cooling demands), the photovoltaic installation size, the thermal insulation of the building and the control activation criteria. A total of 168 yearly simulations have been carried out. The results show that the average improvement in self-consumption is around 13%, while the cost is reduced by 2.5%. On the other hand, the heat from the heat pump and the power consumed increase by 3.7% and 5.2%, respectively. Finally, a linear equation to estimate the performance of the controller is proposed.

Keywords: heat pump; photovoltaic panels; Dymola; Modelica; self-consumption (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2023
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