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Energy and economic optimization of solar-assisted heat pump systems with storage technologies for heating and cooling in residential buildings

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  • Pinamonti, Maria
  • Baggio, Paolo

Abstract

The paper analyses different configurations of solar-assisted heat pump (SAHP) systems, in combination with the use of energy storage technologies. The aim is to investigate the factors which decrease the energy demand of the system, increasing the self-consumption of solar energy, and minimizing the installation cost. The analysis includes both heating and cooling use, considering three buildings with different energy performance levels. Several system configurations are proposed and simulated using the TRNSYS software. A standard air-source heat pump is defined as reference system, to assess the efficacy of the SAHP solutions. For a highly insulated building, the results show a maximum energy reduction (−30%) considering a photovoltaic (PV) panels and a battery storage. However, the installation of solar thermal (ST) panels (−24%) results financially more advantageous over a 20-year period. Considering a medium insulated building, the PV installation is the most profitable solution (−25%) considering both energy and economic aspects. The ST panel integration also results the most profitable solution for a low insulated building (−26%). The results are discussed and different factors affecting the system performance are identified for the studied cases.

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  • Pinamonti, Maria & Baggio, Paolo, 2020. "Energy and economic optimization of solar-assisted heat pump systems with storage technologies for heating and cooling in residential buildings," Renewable Energy, Elsevier, vol. 157(C), pages 90-99.
    • Handle: RePEc:eee:renene:v:157:y:2020:i:c:p:90-99
    DOI: 10.1016/j.renene.2020.04.121
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    13. Elisa Marrasso & Carlo Roselli & Francesco Tariello, 2020. "Comparison of Two Solar PV-Driven Air Conditioning Systems with Different Tracking Modes," Energies, MDPI, vol. 13(14), pages 1-24, July.
    14. Fu, Rong-Huan & Zhao, Tian & Yuan, Meng-Di & Du, Yan-Jun, 2025. "Modular surrogate modeling-based optimization framework for thermohydraulic systems assisted by machine learning," Energy, Elsevier, vol. 323(C).
    15. Marika Pilou & George Kosmadakis & George Meramveliotakis, 2023. "Modeling of an Integrated Renewable-Energy-Based System for Heating, Cooling, and Electricity for Buildings," Energies, MDPI, vol. 16(12), pages 1-29, June.
    16. Zhang, Wanshi & Wu, Yunlei & Li, Xiuwei & Cheng, Feng & Zhang, Xiaosong, 2021. "Performance investigation of the wood-based heat localization regenerator in liquid desiccant cooling system," Renewable Energy, Elsevier, vol. 179(C), pages 133-149.
    17. Dezhdar, Ali & Assareh, Ehsanolah & Agarwal, Neha & bedakhanian, Ali & Keykhah, Sajjad & fard, Ghazaleh yeganeh & zadsar, Narjes & Aghajari, Mona & Lee, Moonyong, 2023. "Transient optimization of a new solar-wind multi-generation system for hydrogen production, desalination, clean electricity, heating, cooling, and energy storage using TRNSYS," Renewable Energy, Elsevier, vol. 208(C), pages 512-537.
    18. Li, Jianyu & Xu, Xinyin & Karimi, Hamid Reza & Wu, Zhengtian, 2025. "Optimization of electric vehicle charging strategies in residential integrated energy systems: A SARIMA model approach for dynamic electricity prices," Energy, Elsevier, vol. 330(C).
    19. Qu, Lei & Wang, Dengjia & Zhou, Yong & Yuan, Wangqiu & Liu, Yanfeng & Fan, Jianhua, 2025. "A new capacity design method for PV-ASHP system based on energy flow mechanism and energy supply-demand balance," Renewable Energy, Elsevier, vol. 239(C).
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