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Energy and Conventional and Advanced Exergy Analyses of Low-Temperature Geothermal Binary-Flashing Cycle Using Zeotropic Mixtures 期刊论文
ENERGIES, 2022, 卷号: 15, 期号: 10, 页码: 18
Authors:  Zhao, Yuan;  Du, Bowen;  Chen, Shunyi;  Zhao, Jun;  Guo, Zhipeng;  Wang, Lingbao
Favorite  |  View/Download：48/0  |  Submit date：2023/11/21
advanced exergy analysis  geothermal energy  binary-flashing cycle  zeotropic mixtures  inerting mass concentration  
Performance characteristics and working fluid selection for high-temperature organic Rankine cycle driven by solar parabolic trough collector 期刊论文
INTERNATIONAL JOURNAL OF LOW-CARBON TECHNOLOGIES, 2021, 卷号: 16, 期号: 4, 页码: 1135-1149
Authors:  Zhao, Wei;  Xie, Ning;  Zhang, Wei;  Yue, Jingpeng;  Wang, Lingbao;  Bu, Xianbiao;  Li, Huashan
Favorite  |  View/Download：68/0  |  Submit date：2023/11/20
performance characteristics  working fluid selection  organic Rankine cycle  parabolic trough collector  multi-objective optimization  
Thermo-Economic Comparison Between Organic Rankine Cycle and Binary-Flashing Cycle for Geothermal Energy 期刊论文
FRONTIERS IN EARTH SCIENCE, 2021, 卷号: 9, 页码: 10
Authors:  Zhao, Yuan;  Du, Bowen;  Chen, Shunyi;  Zhao, Jun;  Gong, Yulie;  Bu, Xianbiao;  Li, Huashan;  Wang, Lingbao
Favorite  |  View/Download：259/0  |  Submit date：2022/09/16
geothermal energy  organic Rankine cycle  binary flashing cycle  thermo-economic  payback period  
Multi-objective optimization of Binary Flashing Cycle (BFC) driven by geothermal energy 期刊论文
APPLIED THERMAL ENGINEERING, 2020, 卷号: 166, 页码: 8
Authors:  Wang, Lingbao;  Li, Huashan;  Bu, Xianbiao
Favorite  |  View/Download：251/0  |  Submit date：2020/10/29
Geothermal energy  Binary flashing cycle  Multi-objective optimization  Non-dominated sorting genetic algorithm II  TOPSIS method  
Performance characteristics and working fluid selection for low-temperature binary-flashing cycle 期刊论文
APPLIED THERMAL ENGINEERING, 2018, 卷号: 141, 页码: 51-60
Authors:  Liu, Xi;  Li, Huashan;  Bu, Xianbiao;  Wang, Lingbao;  Xie, Ning;  Zeng, Jie
Favorite  |  View/Download：174/0  |  Submit date：2020/10/29
Low-temperature energy source  Binary-flashing cycle  Parameter analysis  Optimum performance  Working fluid selection  
A new understanding on thermal efficiency of organic Rankine cycle: Cycle separation based on working fluids properties 期刊论文
ENERGY CONVERSION AND MANAGEMENT, 2018, 卷号: 157, 页码: 169-175
Authors:  Wang, Yongzhen;  Zhao, Jun;  Chen, Guibing;  Deng, Shuai;  An, Qingsong;  Luo, Chao;  Alvi, Junaid
Favorite  |  View/Download：176/0  |  Submit date：2020/10/29
Organic Rankine cycle  Cycle separating  Working fluids selection  Molecular complexity  Performance prediction  Superheat degree  
低温太阳能有机朗肯-蒸汽压缩制冷循环工质及系统优化 期刊论文
新能源进展, 2017, 卷号: 5, 期号: 5, 页码: 386-393
Authors:  王令宝;  刘莉娜;  李华山;  卜宪标;  龚宇烈
View  |  Adobe PDF(453Kb)  |  Favorite  |  View/Download：560/152  |  Submit date：2018/12/21
太阳能  有机朗肯循环  蒸汽压缩制冷  工质优选  热效率  ?效率  solar energy  organic Rankine cycle  vapor compression refrigeration cycle  working fluids selection  thermal efficiency  exergy efficiency  
闪蒸-双工质联合发电系统热力性能比较 期刊论文
化工进展, 2017, 卷号: 36, 期号: 4, 页码: 1521-1528
Authors:  罗珂;  骆超;  龚宇烈
View  |  Adobe PDF(1790Kb)  |  Favorite  |  View/Download：399/120  |  Submit date：2018/12/21
闪蒸-双工质联合发电  工质选择  最佳闪蒸温度  热效率  ?效率  flash-binary power system  working fluid selection  optimal flash temperature  thermal efficiency  exergy efficiency  
闪蒸-双工质联合发电系统热力性能比较 期刊论文
化工进展, 2017, 卷号: 36, 期号: 4, 页码: 1521-1528
Authors:  罗珂;  骆超;  龚宇烈
View  |  Adobe PDF(1790Kb)  |  Favorite  |  View/Download：413/142  |  Submit date：2018/12/21
闪蒸-双工质联合发电  工质选择  最佳闪蒸温度  热效率  ?效率  flash-binary power system  working fluid selection  optimal flash temperature  thermal efficiency  exergy efficiency  
采用涡轮膨胀机的有机朗肯循环系统优化 期刊论文
新能源进展, 2017, 卷号: 5, 期号: 1, 页码: 23-31
Authors:  刘茜;  刘莉娜;  王令宝;  卜宪标;  李华山
View  |  Adobe PDF(906Kb)  |  Favorite  |  View/Download：365/98  |  Submit date：2018/12/21
R245fa  低温余热  有机朗肯循环  涡轮膨胀机  参数优化  敏感性分析  R245fa  low-temperature waste heat  organic Rankine cycle  turbo-expander  parameter optimization  sensitivity analysis