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Thermo-economic modeling and GIS-based spatial data analysis of ground source heat pump systems for regional shallow geothermal mapping

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  • Noorollahi, Younes
  • Gholami Arjenaki, Hamidreza
  • Ghasempour, Roghayeh

Abstract

The increasing interest in ground source heat pump system (GSHP) as well as its high initial investment cost accentuate the necessity for an assessment tool which supports policy makers with decisions regarding technology development and subsidization. Since the performance of a geothermal heat pump system depends strongly on parameters such as geological and climate conditions, a regional-scale energy-economic mapping by spatial analysis was accomplished for priority assessment of each region which is to be subsidized. The procedure includes numerical modeling and optimization of GSHP systems by Genetic Algorithm (GA), regional heating/cooling design load estimation and spatial data analysis to achieve an economic-based map for 234 cities in Iran. Moreover, spatial interpolation was carried out in order to achieve a statistical surface map for the entire country. For the first time, Iran's regional shallow geothermal map was accurately presented along with other geographical maps including air and earth surface’s mean temperature, heating/cooling loads, GSHP required operating hours and Iran's climatology. Total Annual Cost (TAC) values were categorized into five equal ranges from CA (the highest priority class) to CE (the lowest priority class) which highlight the convenient regions for shallow geothermal energy use. Finally, Iran’s provinces were sorted according to TAC weighted average values.

Suggested Citation

  • Noorollahi, Younes & Gholami Arjenaki, Hamidreza & Ghasempour, Roghayeh, 2017. "Thermo-economic modeling and GIS-based spatial data analysis of ground source heat pump systems for regional shallow geothermal mapping," Renewable and Sustainable Energy Reviews, Elsevier, vol. 72(C), pages 648-660.
    • Handle: RePEc:eee:rensus:v:72:y:2017:i:c:p:648-660
    DOI: 10.1016/j.rser.2017.01.099
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    2. Adela Ramos-Escudero & M. Socorro García-Cascales & Javier F. Urchueguía, 2021. "Evaluation of the Shallow Geothermal Potential for Heating and Cooling and Its Integration in the Socioeconomic Environment: A Case Study in the Region of Murcia, Spain," Energies, MDPI, vol. 14(18), pages 1-21, September.
    3. Tissen, Carolin & Menberg, Kathrin & Benz, Susanne A. & Bayer, Peter & Steiner, Cornelia & Götzl, Gregor & Blum, Philipp, 2021. "Identifying key locations for shallow geothermal use in Vienna," Renewable Energy, Elsevier, vol. 167(C), pages 1-19.
    4. Noorollahi, Younes & Golshanfard, Aminabbas & Ansaripour, Shiva & Khaledi, Arian & Shadi, Mehdi, 2021. "Solar energy for sustainable heating and cooling energy system planning in arid climates," Energy, Elsevier, vol. 218(C).
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    6. Galgaro, A. & Di Sipio, E. & Carrera, A. & Dalla Santa, G. & Escudero, A. Ramos & Cuevas, J.M. & Pasquali, R. & Sanner, B. & Bernardi, A., 2022. "European and municipal scale drillability maps: A tool to identify the most suitable techniques to install borehole heat exchangers (BHE) probes," Renewable Energy, Elsevier, vol. 192(C), pages 188-199.
    7. Miocic, Johannes M. & Krecher, Marc, 2022. "Estimation of shallow geothermal potential to meet building heating demand on a regional scale," Renewable Energy, Elsevier, vol. 185(C), pages 629-640.
    8. Tsagarakis, Konstantinos P., 2020. "Shallow geothermal energy under the microscope: Social, economic, and institutional aspects," Renewable Energy, Elsevier, vol. 147(P2), pages 2801-2808.
    9. Xie, Kun & Nian, Yong-Le & Cheng, Wen-Long, 2018. "Analysis and optimization of underground thermal energy storage using depleted oil wells," Energy, Elsevier, vol. 163(C), pages 1006-1016.
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    11. Qingyou Yan & Chao Qin, 2017. "Environmental and Economic Benefit Analysis of an Integrated Heating System with Geothermal Energy—A Case Study in Xi’an China," Energies, MDPI, vol. 10(12), pages 1-16, December.

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