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

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  • Mikel Arenas-Larrañaga

    (TECNALIA, Basque Research and Technology Alliance (BRTA), Area Anardi 5, ES-20730 Azpeitia, Spain
    ENEDI Research Group, Department of Energy Engineering, University of the Basque Country (UPV/EHU), Torres Quevedo 1, ES-48013 Bilbao, 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)

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.

Suggested Citation

  • Mikel Arenas-Larrañaga & Maider Santos-Mugica & Laura Alonso-Ojanguren & Koldobika Martin-Escudero, 2023. "Energy and Cost Analysis of an Integrated Photovoltaic and Heat Pump Domestic System Considering Heating and Cooling Demands," Energies, MDPI, vol. 16(13), pages 1-27, July.
  • Handle: RePEc:gam:jeners:v:16:y:2023:i:13:p:5156-:d:1186730
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    References listed on IDEAS

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    1. Clauß, John & Stinner, Sebastian & Sartori, Igor & Georges, Laurent, 2019. "Predictive rule-based control to activate the energy flexibility of Norwegian residential buildings: Case of an air-source heat pump and direct electric heating," Applied Energy, Elsevier, vol. 237(C), pages 500-518.
    2. Emmanouil Psimopoulos & Fatemeh Johari & Chris Bales & Joakim Widén, 2020. "Impact of Boundary Conditions on the Performance Enhancement of Advanced Control Strategies for a Residential Building with a Heat Pump and PV System with Energy Storage," Energies, MDPI, vol. 13(6), pages 1-25, March.
    3. Fischer, David & Bernhardt, Josef & Madani, Hatef & Wittwer, Christof, 2017. "Comparison of control approaches for variable speed air source heat pumps considering time variable electricity prices and PV," Applied Energy, Elsevier, vol. 204(C), pages 93-105.
    4. McKenna, Eoghan & Thomson, Murray, 2016. "High-resolution stochastic integrated thermal–electrical domestic demand model," Applied Energy, Elsevier, vol. 165(C), pages 445-461.
    5. Maria Pinamonti & Alessandro Prada & Paolo Baggio, 2020. "Rule-Based Control Strategy to Increase Photovoltaic Self-Consumption of a Modulating Heat Pump Using Water Storages and Building Mass Activation," Energies, MDPI, vol. 13(23), pages 1-21, November.
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