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

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 p...

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Main Authors: Mikel Arenas-Larrañaga, Maider Santos-Mugica, Laura Alonso-Ojanguren, Koldobika Martin-Escudero
Format: Article
Language:English
Published: MDPI AG 2023-07-01
Series:Energies
Subjects:
Online Access:https://www.mdpi.com/1996-1073/16/13/5156
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author Mikel Arenas-Larrañaga
Maider Santos-Mugica
Laura Alonso-Ojanguren
Koldobika Martin-Escudero
author_facet Mikel Arenas-Larrañaga
Maider Santos-Mugica
Laura Alonso-Ojanguren
Koldobika Martin-Escudero
author_sort Mikel Arenas-Larrañaga
collection DOAJ
description 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.
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spelling doaj.art-ad3cca3cadf947e9b84c4bd75785d99d2023-11-18T16:31:14ZengMDPI AGEnergies1996-10732023-07-011613515610.3390/en16135156Energy and Cost Analysis of an Integrated Photovoltaic and Heat Pump Domestic System Considering Heating and Cooling DemandsMikel Arenas-Larrañaga0Maider Santos-Mugica1Laura Alonso-Ojanguren2Koldobika Martin-Escudero3TECNALIA, Basque Research and Technology Alliance (BRTA), Area Anardi 5, ES-20730 Azpeitia, SpainTECNALIA, Basque Research and Technology Alliance (BRTA), Area Anardi 5, ES-20730 Azpeitia, SpainTECNALIA, Basque Research and Technology Alliance (BRTA), Area Anardi 5, ES-20730 Azpeitia, SpainENEDI Research Group, Department of Energy Engineering, University of the Basque Country (UPV/EHU), Torres Quevedo 1, ES-48013 Bilbao, SpainThe 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.https://www.mdpi.com/1996-1073/16/13/5156heat pumpphotovoltaic panelsDymolaModelicaself-consumption
spellingShingle Mikel Arenas-Larrañaga
Maider Santos-Mugica
Laura Alonso-Ojanguren
Koldobika Martin-Escudero
Energy and Cost Analysis of an Integrated Photovoltaic and Heat Pump Domestic System Considering Heating and Cooling Demands
Energies
heat pump
photovoltaic panels
Dymola
Modelica
self-consumption
title Energy and Cost Analysis of an Integrated Photovoltaic and Heat Pump Domestic System Considering Heating and Cooling Demands
title_full Energy and Cost Analysis of an Integrated Photovoltaic and Heat Pump Domestic System Considering Heating and Cooling Demands
title_fullStr Energy and Cost Analysis of an Integrated Photovoltaic and Heat Pump Domestic System Considering Heating and Cooling Demands
title_full_unstemmed Energy and Cost Analysis of an Integrated Photovoltaic and Heat Pump Domestic System Considering Heating and Cooling Demands
title_short Energy and Cost Analysis of an Integrated Photovoltaic and Heat Pump Domestic System Considering Heating and Cooling Demands
title_sort energy and cost analysis of an integrated photovoltaic and heat pump domestic system considering heating and cooling demands
topic heat pump
photovoltaic panels
Dymola
Modelica
self-consumption
url https://www.mdpi.com/1996-1073/16/13/5156
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AT lauraalonsoojanguren energyandcostanalysisofanintegratedphotovoltaicandheatpumpdomesticsystemconsideringheatingandcoolingdemands
AT koldobikamartinescudero energyandcostanalysisofanintegratedphotovoltaicandheatpumpdomesticsystemconsideringheatingandcoolingdemands