Thermo-economic analysis and optimization selection of ORC system configurations for low temperature binary-cycle geothermal plant
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作者:
Liu, Xiaomin
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Xi An Jiao Tong Univ, Sch Energy & Power Engn, Dept Fluid Machinery & Engn, 28 West Xianning Rd, Xian 710049, Shaanxi, Peoples R ChinaXi An Jiao Tong Univ, Sch Energy & Power Engn, Dept Fluid Machinery & Engn, 28 West Xianning Rd, Xian 710049, Shaanxi, Peoples R China
Liu, Xiaomin
[1
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Wei, Ming
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Xi An Jiao Tong Univ, Sch Energy & Power Engn, Dept Fluid Machinery & Engn, 28 West Xianning Rd, Xian 710049, Shaanxi, Peoples R ChinaXi An Jiao Tong Univ, Sch Energy & Power Engn, Dept Fluid Machinery & Engn, 28 West Xianning Rd, Xian 710049, Shaanxi, Peoples R China
Wei, Ming
[1
]
Yang, Luona
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Xi An Jiao Tong Univ, Sch Energy & Power Engn, Dept Fluid Machinery & Engn, 28 West Xianning Rd, Xian 710049, Shaanxi, Peoples R ChinaXi An Jiao Tong Univ, Sch Energy & Power Engn, Dept Fluid Machinery & Engn, 28 West Xianning Rd, Xian 710049, Shaanxi, Peoples R China
Yang, Luona
[1
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Wang, Xing
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Chinese Acad Sci, Inst Engn Thermophys, Energy Storage R&D Ctr, Beijing 100190, Peoples R ChinaXi An Jiao Tong Univ, Sch Energy & Power Engn, Dept Fluid Machinery & Engn, 28 West Xianning Rd, Xian 710049, Shaanxi, Peoples R China
Wang, Xing
[2
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机构:
[1] Xi An Jiao Tong Univ, Sch Energy & Power Engn, Dept Fluid Machinery & Engn, 28 West Xianning Rd, Xian 710049, Shaanxi, Peoples R China
[2] Chinese Acad Sci, Inst Engn Thermophys, Energy Storage R&D Ctr, Beijing 100190, Peoples R China
Multi-objective programming is used to analyze the performance of different organic Rankine cycle (ORC) plant layouts with different working fluids for low temperature binary-cycle geothermal plant. The studied results show that for the considered ORC plant layouts, the optimal overall performance indices increase with the geothermal temperature increasing. For a specific working fluid, the optimal ORC system for overall performance always remains unchanged despite the increase in the geothermal temperature. The optimal schemes of ORC systems vary with the performance indices of ORC system. The optimal scheme for comprehensive performance index is simple cycle with R123 when the geothermal temperature increases from 80 degrees C to 95 degrees C. The optimal scheme for thermal efficiency is regenerative cycle with R123, while the optimal scheme for capital cost is superheated cycle with R123. For the work output and exergy efficiency, the optimal scheme is superheated cycle with R152a when the geothermal temperature varies from 80 degrees C to 85 degrees C, while the scheme of superheated cycle with R134a is better for work output and exergy efficiency when the geothermal temperature is greater than 90 degrees C. This study provides useful references for the researchers selecting the optimal configuration of ORC system for low temperature binary-cycle geothermal plant. (C) 2017 Elsevier Ltd. All rights reserved.
机构:
Chinese Acad Sci, Guangzhou Inst Energy Convers, Guangzhou 510640, Peoples R China
CAS Key Lab Renewable Energy, Guangzhou 510640, Peoples R China
Guangdong Prov Key Lab New & Renewable Energy Res, Guangzhou 510640, Peoples R ChinaChinese Acad Sci, Guangzhou Inst Energy Convers, Guangzhou 510640, Peoples R China
Wang, Lingbao
Li, Huashan
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机构:
Chinese Acad Sci, Guangzhou Inst Energy Convers, Guangzhou 510640, Peoples R China
CAS Key Lab Renewable Energy, Guangzhou 510640, Peoples R China
Guangdong Prov Key Lab New & Renewable Energy Res, Guangzhou 510640, Peoples R ChinaChinese Acad Sci, Guangzhou Inst Energy Convers, Guangzhou 510640, Peoples R China
Li, Huashan
Bu, Xianbiao
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机构:
Chinese Acad Sci, Guangzhou Inst Energy Convers, Guangzhou 510640, Peoples R China
CAS Key Lab Renewable Energy, Guangzhou 510640, Peoples R China
Guangdong Prov Key Lab New & Renewable Energy Res, Guangzhou 510640, Peoples R ChinaChinese Acad Sci, Guangzhou Inst Energy Convers, Guangzhou 510640, Peoples R China
机构:
Xi An Jiao Tong Univ, Sch Energy & Power Engn, Dept Fluid Machinery & Engn, Xian 710049, Shaanxi, Peoples R ChinaXi An Jiao Tong Univ, Sch Energy & Power Engn, Dept Fluid Machinery & Engn, Xian 710049, Shaanxi, Peoples R China
Wang, Xing
Liu, Xiaomin
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机构:
Xi An Jiao Tong Univ, Sch Energy & Power Engn, Dept Fluid Machinery & Engn, Xian 710049, Shaanxi, Peoples R ChinaXi An Jiao Tong Univ, Sch Energy & Power Engn, Dept Fluid Machinery & Engn, Xian 710049, Shaanxi, Peoples R China
Liu, Xiaomin
Zhang, Chuhua
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机构:
Xi An Jiao Tong Univ, Sch Energy & Power Engn, Dept Fluid Machinery & Engn, Xian 710049, Shaanxi, Peoples R ChinaXi An Jiao Tong Univ, Sch Energy & Power Engn, Dept Fluid Machinery & Engn, Xian 710049, Shaanxi, Peoples R China