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Dynamic modelling of geothermal heat pump system coupled with positive-energy building

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  • Battaglia, Vittoria
  • Vanoli, Laura
  • Verde, Clara
  • Nithiarasu, Perumal
  • Searle, Justin R.

Abstract

During the last decades, several studies have shown that heat pumps are a promising solution to reach the European Union targets on climate change mitigation, since they satisfy the energy needs for heating, cooling and hot water production employing a single device and using a significant share of renewable energy. However, the full exploitation of the energy-saving potential of heat pumps is a difficult task for designers to achieve, as several factors, such as the variability of outdoor climatic conditions, the control logic of the system and the system configuration, influence the energy performance. High Coefficient of Performance (COP) and low environmental impact make Ground Source Heat Pump (GSHP) systems one of the most suitable technologies for the heating and cooling services, to promote the decarbonization of the building sector, especially in urban areas. The objective of this study is to assess a range of strategies for heat pump systems to achieve optimal performance that can be fully utilized.

Suggested Citation

  • Battaglia, Vittoria & Vanoli, Laura & Verde, Clara & Nithiarasu, Perumal & Searle, Justin R., 2023. "Dynamic modelling of geothermal heat pump system coupled with positive-energy building," Energy, Elsevier, vol. 284(C).
    • Handle: RePEc:eee:energy:v:284:y:2023:i:c:s0360544223019515
    DOI: 10.1016/j.energy.2023.128557
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    References listed on IDEAS

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    1. Safa, Amir A. & Fung, Alan S. & Kumar, Rakesh, 2015. "Heating and cooling performance characterisation of ground source heat pump system by testing and TRNSYS simulation," Renewable Energy, Elsevier, vol. 83(C), pages 565-575.
    2. Liu, Zhijian & Xu, Wei & Qian, Cheng & Chen, Xi & Jin, Guangya, 2015. "Investigation on the feasibility and performance of ground source heat pump (GSHP) in three cities in cold climate zone, China," Renewable Energy, Elsevier, vol. 84(C), pages 89-96.
    3. Rashad, Magdi & Żabnieńska-Góra, Alina & Norman, Les & Jouhara, Hussam, 2022. "Analysis of energy demand in a residential building using TRNSYS," Energy, Elsevier, vol. 254(PB).
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