Evaluation of an ammonia-water absorption long-distance cooling/heating system for enhanced geothermal resources
Evaluation of an ammonia-water absorption long-distance cooling/heating system for enhanced geothermal resources
复制标题
增强地热资源的氨水吸收式远距离冷却/加热系统的评价
DOI：
10.1016/j.enconman.2019.04.050
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发表时间：
2019-07
影响因子：
10.4
通讯作者：
Rui Zhao
中科院分区：
文献类型：
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作者：
Bing-Chuan Han;Wen-Long Cheng;Yong-Le Nian;Lei Yang;Rui Zhao
In order to solve the problem of low utilization efficiency of Enhanced Geothermal System (EGS) and overlong distance between geothermal wells and energy demand sites. Based on the principle of Solution Transportation Absorption system (STA), this paper presented a long-distance cooling/heating system for dual-well EGS. Firstly, a comprehensive heat transfer model for the dual-well EGS system was established and a transport model of the long-distance STA system with no pipeline heat losses was introduced. Then, the optimization of energy outputs and maximum cooling/heating supply distance was performed. Results indicated that: although with the increase of injection flow rate and well depth, cooling and heating outputs capacity by the STA-EGS increased, however, the maximum cooling/heating supply distance decreased. Optimization of 6000 m well depth showed that optimal thermal reservoir length was about 150 m which could obtain the maximum capacity. Specially, the average maximum cooling and heating distances of the proposed system were 4 and 3.5 times that of conventional systems and the average pipe diameters of the STA-EGS decreased by 78.5%, which can greatly reduce delivery pump work and initial investment.
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影响因子：
--
作者：
Yong-Le Nian;W. Cheng
通讯作者：
Yong-Le Nian;W. Cheng
影响因子：
10.4
作者：
W. Cheng;B. Han;Yong-Le Nian;Binglong Han
通讯作者：
W. Cheng;B. Han;Yong-Le Nian;Binglong Han
影响因子：
10.4
作者：
B. Han;W. Cheng;Yi-Yi Li-Yi;Yong-Le Nian
通讯作者：
B. Han;W. Cheng;Yi-Yi Li-Yi;Yong-Le Nian
影响因子：
9
作者：
W. Cheng;Changlong Wang;Yong-Le Nian;B. Han;Jian Liu
通讯作者：
W. Cheng;Changlong Wang;Yong-Le Nian;B. Han;Jian Liu
利用反演方法通过温度测井数据估算油藏热性质
影响因子：
9
作者：
Wen-Long Cheng;Yong-Le Nian;Tong-Tong Li;Chang-Long Wang
通讯作者：
Chang-Long Wang