Published

2020-10-12

Establishment of Evaluation Model for Shallow Geothermal Energy Resource Development Potential Based on Characteristic of Geotemperature

Establecimiento del modelo de evaluación para potencial de desarrollo de recursos de energía geotérmica poco profunda con base en las características de la geotemperatura

DOI:

https://doi.org/10.15446/esrj.v24n3.89513

Keywords:

Geothermal characteristics, Shallow layer, Geothermal energy, Resource development, Potential evaluation, Model construction, (en)
Características geotérmicas, Capa poco profunda, Energía geotérmica, Desarrollo de recursos, Evaluación potencial, Construcción de modelo, (es)

Downloads

Authors

  • Jikun Hou Power China Northwest Engineering Corporation Limited, Construction Management Company, Xi’an 710100, China
  • Xingqi Luo Xi’An University of Technology, Institute of Water Resources and Hydropower Engineering, Xi’an 710048, China
  • Lei Zhang Xi’An Electric Power College, Power Engineering Department, Xi’an 710032, China

The potential analysis of geothermal energy based on geothermal characteristics requires research of the regional shallow geothermal energy. Then, an evaluation model can be constructed. Taking Weinan City as an example, this paper studied the depth and temperature characteristics of the constant zone of subsurface temperature, the vertical variation characteristic of geotemperature, and the horizontal distribution characteristic of geotemperature in Weinan City. Based on the analysis of geotemperature characteristic, the analytic hierarchy process was used to construct the zoning evaluation system of the suitability of ground source, groundwater source, and surface water source. Then, the suitability of Weinan city was comprehensively zoned by the zoning evaluation system. The heat capacity and heat-exchange power of the heat pump system at the groundwater source were calculated based on the zoning results, and the heat-exchange power of the ground-coupled heat pump was obtained. According to the evaluation index, the development potential of shallow geothermal energy resources was evaluated. Through the experimental analysis, applying the model in this paper, it can be seen that the heat pump system has great potential for heating in winter and cooling in summer. The area is 50.79 km2. The area of the potential middle region of the buried pipe heat pump is 135.74 km2, and the potential of the ground source heat pump system is low. The potential area of the ground source heat pump is 82.14 km2. Upon comparing the model results with the current results, it was found that the consistency between the two is high.

Con el fin de construir el modelo de evaluación del potencial de desarrollo de recursos de energía geotérmica poco profunda basado en características geotérmicas, es necesario investigar la energía geotérmica superficial regional. Tomando la ciudad de Weinan como ejemplo, este trabajo estudió las características de profundidad y temperatura constante del subsuelo de la zona, la característica de variación vertical de la geotemperatura y la característica de distribución horizontal de la geotemperatura en la ciudad de Weinan. Basado en el análisis de la característica de geotemperatura, se utilizó el proceso de jerarquía analítica para construir el sistema de evaluación de zonificación de la idoneidad de la fuente subterránea, la fuente de agua subterránea y la fuente de agua superficial. Luego, la idoneidad de la ciudad de Weinan fue zonificada por el sistema de evaluación. La capacidad de calor y la potencia de intercambio de calor del sistema de bombeo subterráneo se calcularon en base a los resultados de zonificación, y se obtuvo la potencia de intercambio de calor de la bomba acoplada a tierra. Según el índice de evaluación, se evaluó el potencial de desarrollo de los recursos de energía geotérmica poco profunda. A través del análisis experimental, aplicando el modelo en este documento, se puede ver que el sistema de bomba de calor de fuente subterránea tiene un gran potencial para calentar en invierno y enfriar en verano. El área es de 50.79 km2. El área de la región media potencial de la bomba de calor de tubería enterrada es de 135.74 km2, y el potencial del sistema de bomba de calor de fuente subterránea es bajo. El área potencial de la bomba de calor de fuente terrestre es 82.14 km2. Al comparar los resultados de la evaluación de este modelo con los resultados reales, se encuentra que la consistencia entre los dos es alta.

References

Alkhasov, A. B., Alkhasova, D. A., Ramazanov, A. S., & Kasparova, M. A. (2016). Prospects of development of highly mineralized high-temperature resources of the Tarumovskoye geothermal field. Thermal Engineering, 63, 404-408.

Al-Samari, A. S. H., & Ali, S. D. (2018). Experimental evaluation of surface geothermal energy for air conditioning applications in Iraq. Journal of Mechanical Engineering Research and Developments, 41(1), 38-43.

Bisht, R., & Rupenthal, I. D. (2016). PLGA nanoparticles for intravitreal peptide delivery: optimization, characterization and toxicity evaluation. Pharmaceutical Development & Technology, 20, 1-25.

Czycholl, I., Kniese, C., Schrader, L., & Krieter, J. (2017). Assessment of the multi-criteria evaluation system of the Welfare Quality® protocol for growing pigs. Animal an International Journal of Animal Bioscience, 11, 1-8.

Fu, B. W. (2018). Study on Fuzzy control of extraction temperature of traditional Chinese medicine based on generalized prediction. Automation & Instrumentation, 14-17.

Li, Y., Xu, S. C., & Xu, P. (2016). Simulation of low temperature starting of proton exchange membrane fuel cell system. Chinese Journal of Power Sources, 40, 1202-1204.

Liu, H., & Nasr, M. (2019). Construction of deep thermal models based on integrated thermal properties used for geothermal risk management. Mathematical Geosciences, 51, 295-317.

Michopoulos, A., Voulgari, V., Tsikaloudaki, A., & Zachariadis, T. (2016). Evaluation of ground source heat pump systems for residential buildings in warm Mediterranean regions: The example of Cyprus. Energy Efficiency, 9, 1-16.

Mihoub, R., Chabour, N., & Guermoui, M. (2016). Modeling soil temperature based on Gaussian process regression in a semi-arid-climate, case study Ghardaia, Algeria. Geomechanics and Geophysics for Geo-Energy and Geo-Resources, 2, 397-403.

Neupane, G., Mattson, E. D., McLing, T. L., Palmer, C. D., Smith, R. W., Wood, T. R., & Podgorney, R. K. (2016). Geothermometric evaluation of geothermal resources in southeastern Idaho. Geothermal Energy Science, 4, 11-22.

Ruelle, E., Delaby, L., Wallace, M., & Shalloo, L. (2016). Development and evaluation of the herd dynamic milk model with focus on the individual cow component. Animal, 10, 1986-1997.

Sowizdzal, A. (2016). Possibilities of petrogeothermal energy resources utilization in central part of Poland. Applied Ecology and Environmental Research, 14(2), 555-574.

Wang, G. L., Zhang W., Liang, J. Y., Lin, W. J., Liu, Z. M., & Wang, W. L. (2017). Evaluation of geothermal resources potential in China. Acta Geoscientica Sinica, 38, 449-459.

Wen, P., & Fang, H. Z. (2018). Simulation modeling technology for life prediction of lithium ion battery. Computer Simulation, v.35,70-74.

Winters, A. A., Bou-Ghannam, S., Thorp, H., Hawayek, J. A., Atkinson, D. L., Bartlett, C. E., Silva, F. J., Hsu, E. W., Moreno, A. P., Grainger, D. A., & Patel, A. N. (2016). Evaluation of multiple biological therapies for ischemic cardiac disease. Cell Transplantation, 25, 1591-1607.

Yan, C., & Xu, H. D. (2016). Discussion on modulation strategy of T-type three-level photovoltaic inverter adapted to low voltage crossing. Journal of Power Supply, 14, 1-9.

Zhang, X., & Hu, Q. (2018). Development of geothermal resources in China: A Review. Journal of Earth Science, 29, 452-467.

Zhang, X., Tong, H., & Yan, H. Y. (2018). Optical isomerization of valine catalyzed by hydrogen-oxygen root water cluster and damage mechanism induced by hydroxyl radical in water environment. Journal of Jilin University (Science Edition), 56, 260-270.

Zhang, Y., Yu, H., Li, J., Yu, Z., & Zhang, J. (2016). Prediction models of deep hydrothemal geothermal potential areas based on GIS: A case study of Western Anatolia, Turkey. Journal of Jilin University, 46, 855-864.

Zhang, Y., Zhang, T., Yin，R., Zheng, J., Liu, T., & Xie, Y. (2017). Geothermal anomaly areas exploration and ground temperature prediction based on 2-meter temperature survey. Journal of Jilin University, 47, 189-196.

Zhou, J., Qin, X., Liu, L., & Hu, Y. (2017). A potential evaluation model for land consolidation in fragmental regions. Ecological Indicators, 74, 230-240.

How to Cite

APA

Hou, J., Luo, X. and Zhang, L. (2020). Establishment of Evaluation Model for Shallow Geothermal Energy Resource Development Potential Based on Characteristic of Geotemperature. Earth Sciences Research Journal, 24(3), 317–325. https://doi.org/10.15446/esrj.v24n3.89513

ACM

[1]
Hou, J., Luo, X. and Zhang, L. 2020. Establishment of Evaluation Model for Shallow Geothermal Energy Resource Development Potential Based on Characteristic of Geotemperature. Earth Sciences Research Journal. 24, 3 (Oct. 2020), 317–325. DOI:https://doi.org/10.15446/esrj.v24n3.89513.

ACS

(1)
Hou, J.; Luo, X.; Zhang, L. Establishment of Evaluation Model for Shallow Geothermal Energy Resource Development Potential Based on Characteristic of Geotemperature. Earth sci. res. j. 2020, 24, 317-325.

ABNT

HOU, J.; LUO, X.; ZHANG, L. Establishment of Evaluation Model for Shallow Geothermal Energy Resource Development Potential Based on Characteristic of Geotemperature. Earth Sciences Research Journal, [S. l.], v. 24, n. 3, p. 317–325, 2020. DOI: 10.15446/esrj.v24n3.89513. Disponível em: https://revistas.unal.edu.co/index.php/esrj/article/view/89513. Acesso em: 27 mar. 2025.

Chicago

Hou, Jikun, Xingqi Luo, and Lei Zhang. 2020. “Establishment of Evaluation Model for Shallow Geothermal Energy Resource Development Potential Based on Characteristic of Geotemperature”. Earth Sciences Research Journal 24 (3):317-25. https://doi.org/10.15446/esrj.v24n3.89513.

Harvard

Hou, J., Luo, X. and Zhang, L. (2020) “Establishment of Evaluation Model for Shallow Geothermal Energy Resource Development Potential Based on Characteristic of Geotemperature”, Earth Sciences Research Journal, 24(3), pp. 317–325. doi: 10.15446/esrj.v24n3.89513.

IEEE

[1]
J. Hou, X. Luo, and L. Zhang, “Establishment of Evaluation Model for Shallow Geothermal Energy Resource Development Potential Based on Characteristic of Geotemperature”, Earth sci. res. j., vol. 24, no. 3, pp. 317–325, Oct. 2020.

MLA

Hou, J., X. Luo, and L. Zhang. “Establishment of Evaluation Model for Shallow Geothermal Energy Resource Development Potential Based on Characteristic of Geotemperature”. Earth Sciences Research Journal, vol. 24, no. 3, Oct. 2020, pp. 317-25, doi:10.15446/esrj.v24n3.89513.

Turabian

Hou, Jikun, Xingqi Luo, and Lei Zhang. “Establishment of Evaluation Model for Shallow Geothermal Energy Resource Development Potential Based on Characteristic of Geotemperature”. Earth Sciences Research Journal 24, no. 3 (October 12, 2020): 317–325. Accessed March 27, 2025. https://revistas.unal.edu.co/index.php/esrj/article/view/89513.

Vancouver

1.
Hou J, Luo X, Zhang L. Establishment of Evaluation Model for Shallow Geothermal Energy Resource Development Potential Based on Characteristic of Geotemperature. Earth sci. res. j. [Internet]. 2020 Oct. 12 [cited 2025 Mar. 27];24(3):317-25. Available from: https://revistas.unal.edu.co/index.php/esrj/article/view/89513

Download Citation

CrossRef Cited-by

CrossRef citations2

1. Diana Castillon Huayhua, Junior H. Nieto Lapa, Steve D. Camargo Hinostroza. (2023). Renewable Energy Systems and Sources. , p.63. https://doi.org/10.1007/978-981-99-6290-7_5.

2. Wengang Qu, Chao Yang, Hui Qian, Panpan Xu, Yanyan Gao, Leiqiang Wei, Qi Long. (2024). Geothermal Condition Investigation and Resource Potential Evaluation of Shallow Geothermal Energy in the Yinchuan Area, Ningxia, China. Sustainability, 16(24), p.10962. https://doi.org/10.3390/su162410962.

Dimensions

PlumX

Plum Print visual indicator of research metrics
  • Citations
  • Scopus - Citation Indexes: 1
  • Captures
  • Mendeley - Readers: 15
  • Mendeley - Readers: 1
-
see details

Article abstract page views

488

Downloads

License

Copyright (c) 2020 Earth Sciences Research Journal

Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 International License.

Earth Sciences Research Journal holds a Creative Commons Attribution license. 

You are free to:

Share — copy and redistribute the material in any medium or format
Adapt — remix, transform, and build upon the material for any purpose, even commercially.
The licensor cannot revoke these freedoms as long as you follow the license terms.