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Multi-parametric evaluation of electrical, biogas and natural gas geothermal source heat pumps

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  • Blázquez, Cristina Sáez
  • Borge-Diez, David
  • Nieto, Ignacio Martín
  • Martín, Arturo Farfán
  • González-Aguilera, Diego

Abstract

The use of low-impact energy sources is gradually growing with the aim of reducing greenhouse gases emission and air pollution. The alternatives offered by geothermal systems are one of the key solutions for a future renewable development, enabling the electrification of heating systems and the use of biofuels. This research addresses an overview of geothermal heating systems using ground source heat pumps in different European countries. Besides the traditional electrical heat pumps, gas engine heat pumps aided by natural gas or biogas are analysed in three areas. From a previous research, the technical parameters defining the geothermal system are used here to evaluate the most appropriate system in each scenario. The evaluation of different influential factors (operational costs, initial investment, environmental impact, and availability) allows defining the most recommendable systems for each area. Results of this multi-parametric study show that gas engine heat pumps aided by biogas could mean an excellent solution in all countries, also contributing to the management of waste and polluting substances. If biogas systems were not available, the electrical heat pump would be the first option for areas 1 and 3 (Italy and Sweden) but not for area 2 (United Kingdom), where natural gas is preferred.

Suggested Citation

  • Blázquez, Cristina Sáez & Borge-Diez, David & Nieto, Ignacio Martín & Martín, Arturo Farfán & González-Aguilera, Diego, 2021. "Multi-parametric evaluation of electrical, biogas and natural gas geothermal source heat pumps," Renewable Energy, Elsevier, vol. 163(C), pages 1682-1691.
    • Handle: RePEc:eee:renene:v:163:y:2021:i:c:p:1682-1691
    DOI: 10.1016/j.renene.2020.10.080
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    References listed on IDEAS

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    1. Hijazi, O. & Munro, S. & Zerhusen, B. & Effenberger, M., 2016. "Review of life cycle assessment for biogas production in Europe," Renewable and Sustainable Energy Reviews, Elsevier, vol. 54(C), pages 1291-1300.
    2. Yang, Zhang & Ce, Li & Lian, Li, 2017. "Electricity price forecasting by a hybrid model, combining wavelet transform, ARMA and kernel-based extreme learning machine methods," Applied Energy, Elsevier, vol. 190(C), pages 291-305.
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    Cited by:

    1. Nie, Yazhou & Deng, Mengsi & Shan, Ming & Yang, Xudong, 2023. "Clean and low-carbon heating in the building sector of China: 10-Year development review and policy implications," Energy Policy, Elsevier, vol. 179(C).
    2. Andrey A. Kovalev & Dmitriy A. Kovalev & Victor S. Grigoriev & Vladimir Panchenko, 2022. "Heat Recovery of Low-Grade Energy Sources in the System of Preparation of Biogas Plant Substrates," International Journal of Energy Optimization and Engineering (IJEOE), IGI Global, vol. 11(1), pages 1-17, January.
    3. Trond Thorgeir Harsem & Behrouz Nourozi & Amirmohammad Behzadi & Sasan Sadrizadeh, 2021. "Design and Parametric Investigation of an Efficient Heating System, an Effort to Obtain a Higher Seasonal Performance Factor," Energies, MDPI, vol. 14(24), pages 1-13, December.
    4. Mohammad Kanan & Muhammad Salman Habib & Tufail Habib & Sadaf Zahoor & Anas Gulzar & Hamid Raza & Zaher Abusaq, 2022. "A Flexible Robust Possibilistic Programming Approach for Sustainable Second-Generation Biogas Supply Chain Design under Multiple Uncertainties," Sustainability, MDPI, vol. 14(18), pages 1-32, September.

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