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Environmental and Economic Benefit Analysis of an Integrated Heating System with Geothermal Energy—A Case Study in Xi’an China

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  • Qingyou Yan

    (Beijing Energy Development Research Center, School of Economic and Management, North China Electric Power University, Beijing 102206, China)

  • Chao Qin

    (Beijing Energy Development Research Center, School of Economic and Management, North China Electric Power University, Beijing 102206, China)

Abstract

Due to the increase in environmental problems and air pollution during the heating period, it is important to promote clean heating in cold regions, thereby meeting the heating demand in a green manner. In order to allocate resources more effectively and facilitate the consumption of renewable energy, this paper designs an integrated heating system that incorporates geothermal energy into the framework of an integrated energy system of electricity, heating, and gas. An analysis of the environmental and economic benefits indicates that the system reduces pollutant emissions and decreases the cost of urban heating. Using an example of central heating of residential buildings in Xi’an, the paper conducts a scenario analysis based on the gas peak-shaving ratio and the ratio of geothermal heating loads to basic heating loads. The results demonstrate that the environmental and economic benefits of the integrated heating system are higher compared to central heating using coal-fired boilers. In addition, this paper conducts a sensitivity analysis of the heat source to the price factors and the load ratios. The results show that the operating costs of the integrated heating system are most sensitive to the natural gas price and the gas peak-shaving ratio. Therefore, an optimum natural gas peak-shaving ratio can be determined.

Suggested Citation

  • 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.
    • Handle: RePEc:gam:jeners:v:10:y:2017:i:12:p:2090-:d:122273
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    References listed on IDEAS

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    1. Jean-Pierre Laffargue & Eden S. H. Yu, 2015. "The Chinese Savings Puzzles," Université Paris1 Panthéon-Sorbonne (Post-Print and Working Papers) hal-01450935, HAL.
    2. Yamankaradeniz, Nurettin, 2016. "Thermodynamic performance assessments of a district heating system with geothermal by using advanced exergy analysis," Renewable Energy, Elsevier, vol. 85(C), pages 965-972.
    3. Song, Jingjing & Wallin, Fredrik & Li, Hailong, 2017. "District heating cost fluctuation caused by price model shift," Applied Energy, Elsevier, vol. 194(C), pages 715-724.
    4. Meybodi, Mehdi Aghaei & Behnia, Masud, 2011. "Impact of carbon tax on internal combustion engine size selection in a medium scale CHP system," Applied Energy, Elsevier, vol. 88(12), pages 5153-5163.
    5. Badami, Marco & Gerboni, Raffaella & Portoraro, Armando, 2017. "Determination and assessment of indices for the energy performance of district heating with cogeneration plants," Energy, Elsevier, vol. 127(C), pages 697-703.
    6. Gu, Wei & Wang, Jun & Lu, Shuai & Luo, Zhao & Wu, Chenyu, 2017. "Optimal operation for integrated energy system considering thermal inertia of district heating network and buildings," Applied Energy, Elsevier, vol. 199(C), pages 234-246.
    7. Arat, Halit & Arslan, Oguz, 2017. "Exergoeconomic analysis of district heating system boosted by the geothermal heat pump," Energy, Elsevier, vol. 119(C), pages 1159-1170.
    8. 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.
    9. Mehleri, Eugenia D. & Sarimveis, Haralambos & Markatos, Nikolaos C. & Papageorgiou, Lazaros G., 2012. "A mathematical programming approach for optimal design of distributed energy systems at the neighbourhood level," Energy, Elsevier, vol. 44(1), pages 96-104.
    10. Sharma, Ashish K. & Sharma, Chandan & Mullick, Subhash C. & Kandpal, Tara C., 2017. "Solar industrial process heating: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 78(C), pages 124-137.
    11. Wang, Jiangjiang & Zhai, Zhiqiang (John) & Jing, Youyin & Zhang, Chunfa, 2010. "Optimization design of BCHP system to maximize to save energy and reduce environmental impact," Energy, Elsevier, vol. 35(8), pages 3388-3398.
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    Cited by:

    1. Wang, Yuqing & Liu, Yingxin & Dou, Jinyue & Li, Mingzhu & Zeng, Ming, 2020. "Geothermal energy in China: Status, challenges, and policy recommendations," Utilities Policy, Elsevier, vol. 64(C).
    2. Bayer, Peter & Attard, Guillaume & Blum, Philipp & Menberg, Kathrin, 2019. "The geothermal potential of cities," Renewable and Sustainable Energy Reviews, Elsevier, vol. 106(C), pages 17-30.
    3. Ma, Sining & Guo, Siyue & Zheng, Dingqian & Chang, Shiyan & Zhang, Xiliang, 2021. "Roadmap towards clean and low carbon heating to 2035: A provincial analysis in northern China," Energy, Elsevier, vol. 225(C).
    4. Qiang Wang & Zhongfu Tan & Gejirifu De & Qingkun Tan & Lei Pu, 2019. "An Evolutionary Game Study of Clean Heating Promotion Mechanisms under the Policy Regulation in China," Sustainability, MDPI, vol. 11(14), pages 1-22, July.

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