Energetic and economic evaluations of geothermal district heating systems by using ANN
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DOI: 10.1016/j.enpol.2013.01.039
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Cited by:
- Zheng, Xinye & Wei, Chu & Qin, Ping & Guo, Jin & Yu, Yihua & Song, Feng & Chen, Zhanming, 2014. "Characteristics of residential energy consumption in China: Findings from a household survey," Energy Policy, Elsevier, vol. 75(C), pages 126-135.
- 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).
- Shamshirband, Shahaboddin & Petković, Dalibor & Enayatifar, Rasul & Hanan Abdullah, Abdul & Marković, Dušan & Lee, Malrey & Ahmad, Rodina, 2015. "Heat load prediction in district heating systems with adaptive neuro-fuzzy method," Renewable and Sustainable Energy Reviews, Elsevier, vol. 48(C), pages 760-767.
- Liu, Jian & Cheng, Wen-Long & Nian, Yong-Le, 2018. "The stratigraphic and operating parameters influence on economic analysis for enhanced geothermal double wells utilization system," Energy, Elsevier, vol. 159(C), pages 264-276.
- Carotenuto, Alberto & Figaj, Rafal Damian & Vanoli, Laura, 2017. "A novel solar-geothermal district heating, cooling and domestic hot water system: Dynamic simulation and energy-economic analysis," Energy, Elsevier, vol. 141(C), pages 2652-2669.
- Ma, Weiwu & Fang, Song & Liu, Gang & Zhou, Ruoyu, 2017. "Modeling of district load forecasting for distributed energy system," Applied Energy, Elsevier, vol. 204(C), pages 181-205.
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Keywords
Geothermal energy; District heating; Life cycle cost;Statistics
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