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Feasibility analysis of a heat pump powered by wind turbines and PV- Applications for detached houses in Germany

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  • Rieck, Jenny
  • Taube, Lina
  • Behrendt, Frank

Abstract

In this study an intelligent energy supply system is developed. Energy is obtained by wind or solar radiation and stored to cover the electricity and heat demand of a detached house in Germany. For this a heat pump and a storage tank is used. The simulation shows strategies to integrate renewable energies in different regions of Germany while diminishing the need to turn off a wind turbine or feed energy to the grid. For this, the energy consumption in a single house is modelled. Different wind turbines and PV systems are introduced as an energy source. The profitability of these systems is calculated and compared to conventional systems with gas or oil. The analysis shows that at the moment small wind turbines are a feasible option for cover the energy demand under the given conditions. On the other hand, currently PV plants are not suitable for the heat demand coverage as the specific costs outgo the ones for conventional systems. Further research is necessary to look at different case scenarios, taking into account future climate developments.

Suggested Citation

  • Rieck, Jenny & Taube, Lina & Behrendt, Frank, 2020. "Feasibility analysis of a heat pump powered by wind turbines and PV- Applications for detached houses in Germany," Renewable Energy, Elsevier, vol. 162(C), pages 1104-1112.
    • Handle: RePEc:eee:renene:v:162:y:2020:i:c:p:1104-1112
    DOI: 10.1016/j.renene.2020.07.011
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    References listed on IDEAS

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    1. Grieser, Benno & Sunak, Yasin & Madlener, Reinhard, 2015. "Economics of small wind turbines in urban settings: An empirical investigation for Germany," Renewable Energy, Elsevier, vol. 78(C), pages 334-350.
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    Cited by:

    1. Kong, Decheng & Wang, Yunfeng & Li, Ming & Liang, Jingkang, 2022. "Experimental investigation of a novel hybrid drying system powered by a solar photovoltaic/thermal air collector and wind turbine," Renewable Energy, Elsevier, vol. 194(C), pages 705-718.
    2. Ma, Tengfei & Pei, Wei & Deng, Wei & Xiao, Hao & Yang, Yanhong & Tang, Chenghong, 2022. "A Nash bargaining-based cooperative planning and operation method for wind-hydrogen-heat multi-agent energy system," Energy, Elsevier, vol. 239(PE).
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