IDEAS home Printed from https://ideas.repec.org/r/eee/energy/v74y2014icp719-733.html
   My bibliography  Save this item

Critical temperature criterion for selection of working fluids for subcritical pressure Organic Rankine cycles

Citations

Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
as


Cited by:

  1. Zhang, Cheng & Liu, Chao & Xu, Xiaoxiao & Li, Qibin & Wang, Shukun & Chen, Xi, 2018. "Effects of superheat and internal heat exchanger on thermo-economic performance of organic Rankine cycle based on fluid type and heat sources," Energy, Elsevier, vol. 159(C), pages 482-495.
  2. Zhang, Xinxin & Zhang, Yin & Wang, Jingfu, 2020. "New classification of dry and isentropic working fluids and a method used to determine their optimal or worst condensation temperature used in Organic Rankine Cycle," Energy, Elsevier, vol. 201(C).
  3. Wang, Zhiqi & Hu, Yanhua & Xia, Xiaoxia & Zuo, Qingsong & Zhao, Bin & Li, Zhixiong, 2020. "Thermo-economic selection criteria of working fluid used in dual-loop ORC for engine waste heat recovery by multi-objective optimization," Energy, Elsevier, vol. 197(C).
  4. Yachao Pan & Fubin Yang & Hongguang Zhang & Yinlian Yan & Anren Yang & Jia Liang & Mingzhe Yu, 2022. "Performance Prediction and Working Fluid Active Design of Organic Rankine Cycle Based on Molecular Structure," Energies, MDPI, vol. 15(21), pages 1-22, November.
  5. Kermani, Maziar & Wallerand, Anna S. & Kantor, Ivan D. & Maréchal, François, 2018. "Generic superstructure synthesis of organic Rankine cycles for waste heat recovery in industrial processes," Applied Energy, Elsevier, vol. 212(C), pages 1203-1225.
  6. Muhammad Tauseef Nasir & Michael Chukwuemeka Ekwonu & Javad Abolfazali Esfahani & Kyung Chun Kim, 2021. "Integrated Vapor Compression Chiller with Bottoming Organic Rankine Cycle and Onsite Low-Grade Renewable Energy," Energies, MDPI, vol. 14(19), pages 1-41, October.
  7. Cao, Shuang & Xu, Jinliang & Miao, Zheng & Liu, Xiulong & Zhang, Ming & Xie, Xuewang & Li, Zhi & Zhao, Xiaoli & Tang, Guihua, 2019. "Steady and transient operation of an organic Rankine cycle power system," Renewable Energy, Elsevier, vol. 133(C), pages 284-294.
  8. Yang, Fubin & Zhang, Hongguang & Yu, Zhibin & Wang, Enhua & Meng, Fanxiao & Liu, Hongda & Wang, Jingfu, 2017. "Parametric optimization and heat transfer analysis of a dual loop ORC (organic Rankine cycle) system for CNG engine waste heat recovery," Energy, Elsevier, vol. 118(C), pages 753-775.
  9. Mokhtari, Hamid & Hadiannasab, Hasti & Mostafavi, Mostafa & Ahmadibeni, Ali & Shahriari, Behrooz, 2016. "Determination of optimum geothermal Rankine cycle parameters utilizing coaxial heat exchanger," Energy, Elsevier, vol. 102(C), pages 260-275.
  10. Zhang, Cheng & Liu, Chao & Wang, Shukun & Xu, Xiaoxiao & Li, Qibin, 2017. "Thermo-economic comparison of subcritical organic Rankine cycle based on different heat exchanger configurations," Energy, Elsevier, vol. 123(C), pages 728-741.
  11. Manente, Giovanni & Lazzaretto, Andrea & Bonamico, Eleonora, 2017. "Design guidelines for the choice between single and dual pressure layouts in organic Rankine cycle (ORC) systems," Energy, Elsevier, vol. 123(C), pages 413-431.
  12. Peter Collings & Zhibin Yu, 2017. "Numerical Analysis of an Organic Rankine Cycle with Adjustable Working Fluid Composition, a Volumetric Expander and a Recuperator," Energies, MDPI, vol. 10(4), pages 1-21, March.
  13. Yang, Lixiang & Gong, Maoqiong & Guo, Hao & Dong, Xueqiang & Shen, Jun & Wu, Jianfeng, 2016. "Effects of critical and boiling temperatures on system performance and fluid selection indicator for low temperature organic Rankine cycles," Energy, Elsevier, vol. 109(C), pages 830-844.
  14. Miao, Zheng & Zhang, Kai & Wang, Mengxiao & Xu, Jinliang, 2019. "Thermodynamic selection criteria of zeotropic mixtures for subcritical organic Rankine cycle," Energy, Elsevier, vol. 167(C), pages 484-497.
  15. Zhang, Cheng & Liu, Chao & Xu, Xiaoxiao & Li, Qibin & Wang, Shukun, 2019. "Energetic, exergetic, economic and environmental (4E) analysis and multi-factor evaluation method of low GWP fluids in trans-critical organic Rankine cycles," Energy, Elsevier, vol. 168(C), pages 332-345.
  16. Lin, Chih-Hung & Hsu, Pei-Pei & He, Ya-Ling & Shuai, Yong & Hung, Tzu-Chen & Feng, Yong-Qiang & Chang, Yu-Hsuan, 2019. "Investigations on experimental performance and system behavior of 10 kW organic Rankine cycle using scroll-type expander for low-grade heat source," Energy, Elsevier, vol. 177(C), pages 94-105.
  17. Yang, Xufei & Xu, Jinliang & Miao, Zheng & Zou, Jinghuang & Qi, Fengliang, 2016. "The definition of non-dimensional integration temperature difference and its effect on organic Rankine cycle," Applied Energy, Elsevier, vol. 167(C), pages 17-33.
  18. Yang, Fubin & Zhang, Hongguang & Bei, Chen & Song, Songsong & Wang, Enhua, 2015. "Parametric optimization and performance analysis of ORC (organic Rankine cycle) for diesel engine waste heat recovery with a fin-and-tube evaporator," Energy, Elsevier, vol. 91(C), pages 128-141.
  19. Yang, Fubin & Zhang, Hongguang & Song, Songsong & Bei, Chen & Wang, Hongjin & Wang, Enhua, 2015. "Thermoeconomic multi-objective optimization of an organic Rankine cycle for exhaust waste heat recovery of a diesel engine," Energy, Elsevier, vol. 93(P2), pages 2208-2228.
  20. Hærvig, J. & Sørensen, K. & Condra, T.J., 2016. "Guidelines for optimal selection of working fluid for an organic Rankine cycle in relation to waste heat recovery," Energy, Elsevier, vol. 96(C), pages 592-602.
  21. Wang, Enhua & Mao, Jingwen & Zhang, Bo & Wang, Yongzhen, 2023. "On the CAMD method based on PC-SAFT for working fluid design of a high-temperature organic Rankine cycle," Energy, Elsevier, vol. 263(PD).
  22. Yang, Xufei & Xu, Jinliang & Miao, Zheng & Zou, Jinghuang & Yu, Chao, 2015. "Operation of an organic Rankine cycle dependent on pumping flow rates and expander torques," Energy, Elsevier, vol. 90(P1), pages 864-878.
  23. Wang, Zhiqi & Pan, Huihui & Xia, Xiaoxia & Xie, Baoqi & Peng, Deqi & Yang, Huya, 2022. "Experimental investigation on steady and dynamic performance of organic Rankine cycle with R245fa/R141b under different cooling and expander speed conditions," Energy, Elsevier, vol. 241(C).
  24. Yu, Haoshui & Gundersen, Truls & Feng, Xiao, 2018. "Process integration of organic Rankine cycle (ORC) and heat pump for low temperature waste heat recovery," Energy, Elsevier, vol. 160(C), pages 330-340.
  25. Wang, Xiao-Qiong & Li, Xiao-Ping & Li, You-Rong & Wu, Chun-Mei, 2015. "Payback period estimation and parameter optimization of subcritical organic Rankine cycle system for waste heat recovery," Energy, Elsevier, vol. 88(C), pages 734-745.
  26. Frutiger, Jérôme & Andreasen, Jesper & Liu, Wei & Spliethoff, Hartmut & Haglind, Fredrik & Abildskov, Jens & Sin, Gürkan, 2016. "Working fluid selection for organic Rankine cycles – Impact of uncertainty of fluid properties," Energy, Elsevier, vol. 109(C), pages 987-997.
  27. Saedi, Ali & Jahangiri, Ali & Ameri, Mohammad & Asadi, Farzad, 2022. "Feasibility study and 3E analysis of blowdown heat recovery in a combined cycle power plant for utilization in Organic Rankine Cycle and greenhouse heating," Energy, Elsevier, vol. 260(C).
  28. Palma-Flores, Oscar & Flores-Tlacuahuac, Antonio & Canseco-Melchorb, Graciela, 2016. "Simultaneous molecular and process design for waste heat recovery," Energy, Elsevier, vol. 99(C), pages 32-47.
  29. Collings, Peter & Yu, Zhibin & Wang, Enhua, 2016. "A dynamic organic Rankine cycle using a zeotropic mixture as the working fluid with composition tuning to match changing ambient conditions," Applied Energy, Elsevier, vol. 171(C), pages 581-591.
  30. Vivian, Jacopo & Manente, Giovanni & Lazzaretto, Andrea, 2015. "A general framework to select working fluid and configuration of ORCs for low-to-medium temperature heat sources," Applied Energy, Elsevier, vol. 156(C), pages 727-746.
  31. Xu, Weicong & Zhao, Li & Mao, Samuel S. & Deng, Shuai, 2020. "Towards novel low temperature thermodynamic cycle: A critical review originated from organic Rankine cycle," Applied Energy, Elsevier, vol. 270(C).
  32. Songsong Song & Hongguang Zhang & Rui Zhao & Fanxiao Meng & Hongda Liu & Jingfu Wang & Baofeng Yao, 2017. "Simulation and Performance Analysis of Organic Rankine Systems for Stationary Compressed Natural Gas Engine," Energies, MDPI, vol. 10(4), pages 1-23, April.
  33. Pourmoghadam, Peyman & Kasaeian, Alibakhsh, 2023. "Economic and energy evaluation of a solar multi-generation system powered by the parabolic trough collectors," Energy, Elsevier, vol. 262(PA).
  34. Mazzi, N. & Rech, S. & Lazzaretto, A., 2015. "Off-design dynamic model of a real Organic Rankine Cycle system fuelled by exhaust gases from industrial processes," Energy, Elsevier, vol. 90(P1), pages 537-551.
  35. Zhu, Yilin & Li, Weiyi & Sun, Guanzhong & Li, Haojie, 2018. "Thermo-economic analysis based on objective functions of an organic Rankine cycle for waste heat recovery from marine diesel engine," Energy, Elsevier, vol. 158(C), pages 343-356.
  36. Wilailak, Supaporn & Yang, Jae-Hyeon & Heo, Chul-Gu & Kim, Kyung-Su & Bang, Se-Kyung & Seo, In-Ho & Zahid, Umer & Lee, Chul-Jin, 2021. "Thermo-economic analysis of Phosphoric Acid Fuel-Cell (PAFC) integrated with Organic Ranking Cycle (ORC)," Energy, Elsevier, vol. 220(C).
  37. Cavazzini, G. & Bari, S. & Pavesi, G. & Ardizzon, G., 2017. "A multi-fluid PSO-based algorithm for the search of the best performance of sub-critical Organic Rankine Cycles," Energy, Elsevier, vol. 129(C), pages 42-58.
  38. Wang, Huarong & Xu, Jinliang & Yang, Xufei & Miao, Zheng & Yu, Chao, 2015. "Organic Rankine cycle saves energy and reduces gas emissions for cement production," Energy, Elsevier, vol. 86(C), pages 59-73.
  39. Marenco-Porto, Carlos A. & Nieto-Londoño, César & Lopera, Leonardo & Escudero-Atehortua, Ana & Giraldo, Mauricio & Jouhara, Hussam, 2023. "Evaluation of Organic Rankine Cycle alternatives for the cement industry using Analytic Hierarchy Process (AHP) methodology and energy-economic-environmental (3E) analysis," Energy, Elsevier, vol. 281(C).
IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.