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Exploration of potential geothermal fields using GIS-based entropy method: A case study of the Sandikli

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  • Yalcin, Mustafa
  • Kalaycioglu, Samet
  • Basaran, Can
  • Sari, Fatih
  • Gul, Fatmagul Kilic

Abstract

Geothermal energy has great potential among Turkey's sustainable energy sources. Especially the western regions of our country are the regions where these sources are intensified. The study area, Sandıklı district, is one of the regions in the west of Turkey with high geothermal energy. In the study, potential geothermal fields are tried to be explored in Sandıklı. Drainage density, slope, proximity to faults, geological indicators, and land surface temperature (LST) anomaly used to determine the geothermal potential of the study area based on literature research and experts' opinions. Within the scope of multi-criteria decision analysis (MCDA), a geothermal favorability map is created by synthesizing the layers formed with the weights that are calculated with the Entropy Method. The results of the Entrophy method compared with the AHP results for evaluating the consistency and presicion of the results. It has seen that same potential geothermal areas were detected from both methods. Besides, the Entrophy results were more sharper and had higher sensibilities. As a results of the study, Kusura, Çakır, Koçhisar, Başkuyucak, and Ekinhisar, extremly high geothermal potential regions were proposed as new geothermal fields in the Sandıklı province.

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  • Yalcin, Mustafa & Kalaycioglu, Samet & Basaran, Can & Sari, Fatih & Gul, Fatmagul Kilic, 2024. "Exploration of potential geothermal fields using GIS-based entropy method: A case study of the Sandikli," Renewable Energy, Elsevier, vol. 237(PB).
  • Handle: RePEc:eee:renene:v:237:y:2024:i:pb:s0960148124017877
    DOI: 10.1016/j.renene.2024.121719
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    References listed on IDEAS

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    1. Sadeghi, Behnam & Khalajmasoumi, Masoumeh, 2015. "A futuristic review for evaluation of geothermal potentials using fuzzy logic and binary index overlay in GIS environment," Renewable and Sustainable Energy Reviews, Elsevier, vol. 43(C), pages 818-831.
    2. Gemelli, Alberto & Mancini, Adriano & Longhi, Sauro, 2011. "GIS-based energy-economic model of low temperature geothermal resources: A case study in the Italian Marche region," Renewable Energy, Elsevier, vol. 36(9), pages 2474-2483.
    3. Jess, Andreas, 2010. "What might be the energy demand and energy mix to reconcile the world's pursuit of welfare and happiness with the necessity to preserve the integrity of the biosphere?," Energy Policy, Elsevier, vol. 38(8), pages 4663-4678, August.
    4. Xuejia Sang & Linfu Xue & Jiwen Liu & Liang Zhan, 2017. "A Novel Workflow for Geothermal Prospectively Mapping Weights-of-Evidence in Liaoning Province, Northeast China," Energies, MDPI, vol. 10(7), pages 1-20, July.
    5. Yongzhu Xiong & Mingyong Zhu & Yongyi Li & Kekun Huang & Yankui Chen & Jingqing Liao, 2022. "Recognition of Geothermal Surface Manifestations: A Comparison of Machine Learning and Deep Learning," Energies, MDPI, vol. 15(8), pages 1-29, April.
    6. Xiaohan Zhang & Yuanfu Zhang & Yuxiu Li & Yunying Huang & Jianlong Zhao & Yuchuan Yi & Junyang Li & Jinchuan Zhang & Dawei Zhang, 2023. "Geothermal Spatial Potential and Distribution Assessment Using a Hierarchical Structure Model Combining GIS, Remote Sensing, and Geophysical Techniques—A Case Study of Dali’s Eryuan Area," Energies, MDPI, vol. 16(18), pages 1-24, September.
    7. Athens, Noah D. & Caers, Jef K., 2019. "A Monte Carlo-based framework for assessing the value of information and development risk in geothermal exploration," Applied Energy, Elsevier, vol. 256(C).
    8. Lei, Zhihong & Zhang, Yanjun & Yu, Ziwang & Hu, Zhongjun & Li, Liangzhen & Zhang, Senqi & Fu, Lei & Zhou, Ling & Xie, Yangyang, 2019. "Exploratory research into the enhanced geothermal system power generation project: The Qiabuqia geothermal field, Northwest China," Renewable Energy, Elsevier, vol. 139(C), pages 52-70.
    9. Zhang, Yu & Zhang, Yanjun & Yu, Hai & Li, Jianming & Xie, Yangyang & Lei, Zhihong, 2020. "Geothermal resource potential assessment of Fujian Province, China, based on geographic information system (GIS) -supported models," Renewable Energy, Elsevier, vol. 153(C), pages 564-579.
    10. Macenić, M. & Kurevija, T. & Medved, I., 2020. "Novel geothermal gradient map of the Croatian part of the Pannonian Basin System based on data interpretation from 154 deep exploration wells," Renewable and Sustainable Energy Reviews, Elsevier, vol. 132(C).
    11. Barbier, Enrico, 2002. "Geothermal energy technology and current status: an overview," Renewable and Sustainable Energy Reviews, Elsevier, vol. 6(1-2), pages 3-65.
    12. Abubakar Yusuf & Lim Hwee San & Ismail Ahmad Abir, 2021. "A Preliminary Geothermal Prospectivity Mapping Based on Integrated GIS, Remote-Sensing, and Geophysical Techniques around Northeastern Nigeria," Sustainability, MDPI, vol. 13(15), pages 1-22, July.
    13. Li, Jianming & Zhang, Yanjun, 2017. "GIS-supported certainty factor (CF) models for assessment of geothermal potential: A case study of Tengchong County, southwest China," Energy, Elsevier, vol. 140(P1), pages 552-565.
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