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A new pinch based method for simultaneous selection of working fluid and operating conditions in an ORC (Organic Rankine Cycle) recovering waste heat

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  1. Wang, Jiansheng & Diao, Mengzhen & Yue, Kaihong, 2017. "Optimization on pinch point temperature difference of ORC system based on AHP-Entropy method," Energy, Elsevier, vol. 141(C), pages 97-107.
  2. Dong, Shengming & Zhang, Yufeng & He, Zhonglu & Deng, Na & Yu, Xiaohui & Yao, Sheng, 2018. "Investigation of Support Vector Machine and Back Propagation Artificial Neural Network for performance prediction of the organic Rankine cycle system," Energy, Elsevier, vol. 144(C), pages 851-864.
  3. Chen, Wei & Shi, Wenxing & Li, Xianting & Wang, Baolong & Cao, Yang, 2020. "Application of optimization method based on discretized thermal energy in condensing heat recovery system of combined heat and power plant," Energy, Elsevier, vol. 213(C).
  4. 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.
  5. Bamorovat Abadi, Gholamreza & Kim, Kyung Chun, 2017. "Investigation of organic Rankine cycles with zeotropic mixtures as a working fluid: Advantages and issues," Renewable and Sustainable Energy Reviews, Elsevier, vol. 73(C), pages 1000-1013.
  6. Yu, Haoshui & Eason, John & Biegler, Lorenz T. & Feng, Xiao, 2017. "Simultaneous heat integration and techno-economic optimization of Organic Rankine Cycle (ORC) for multiple waste heat stream recovery," Energy, Elsevier, vol. 119(C), pages 322-333.
  7. Sarkar, Jahar, 2018. "Generalized pinch point design method of subcritical-supercritical organic Rankine cycle for maximum heat recovery," Energy, Elsevier, vol. 143(C), pages 141-150.
  8. 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.
  9. Liu, Siyao & Cui, Chengtian & He, Jie & Sun, Jinsheng, 2018. "Feasibility assessment of a novel refrigeration FCC gas plant driven by self waste heat," Energy, Elsevier, vol. 145(C), pages 356-366.
  10. 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.
  11. 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.
  12. Guillermo Valencia Ochoa & Javier Cárdenas Gutierrez & Jorge Duarte Forero, 2020. "Exergy, Economic, and Life-Cycle Assessment of ORC System for Waste Heat Recovery in a Natural Gas Internal Combustion Engine," Resources, MDPI, vol. 9(1), pages 1-23, January.
  13. García-Anteportalatina, Víctor Manuel & Martín, Mariano, 2022. "Process synthesis for the valorisation of low-grade heat: Geothermal brines and industrial waste streams," Renewable Energy, Elsevier, vol. 198(C), pages 733-748.
  14. Wang, Yaodong & Chen, Lin & Jia, Boru & Roskilly, Anthony Paul, 2017. "Experimental study of the operation characteristics of an air-driven free-piston linear expander," Applied Energy, Elsevier, vol. 195(C), pages 93-99.
  15. 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.
  16. Mohan, Sooraj & Dinesha, P. & Campana, Pietro Elia, 2022. "ANN-PSO aided selection of hydrocarbons as working fluid for low-temperature organic Rankine cycle and thermodynamic evaluation of optimal working fluid," Energy, Elsevier, vol. 259(C).
  17. Chen, Hao & Zhao, Li & Cong, Haifeng & Li, Xingang, 2022. "Synthesis of waste heat recovery using solar organic Rankine cycle in the separation of benzene/toluene/p-xylene process," Energy, Elsevier, vol. 255(C).
  18. 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.
  19. 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).
  20. Evangelos Bellos & Christos Tzivanidis, 2017. "Optimization of a Solar-Driven Trigeneration System with Nanofluid-Based Parabolic Trough Collectors," Energies, MDPI, vol. 10(7), pages 1-31, June.
  21. Wang, Chenfang & Li, Qingshan & Wang, Chunmei & Zhang, Yangjun & Zhuge, Weilin, 2021. "Thermodynamic analysis of a hydrogen fuel cell waste heat recovery system based on a zeotropic organic Rankine cycle," Energy, Elsevier, vol. 232(C).
  22. Klemeš, Jiří Jaromír & Varbanov, Petar Sabev & Walmsley, Timothy G. & Jia, Xuexiu, 2018. "New directions in the implementation of Pinch Methodology (PM)," Renewable and Sustainable Energy Reviews, Elsevier, vol. 98(C), pages 439-468.
  23. Patrick Linke & Athanasios I. Papadopoulos & Panos Seferlis, 2015. "Systematic Methods for Working Fluid Selection and the Design, Integration and Control of Organic Rankine Cycles—A Review," Energies, MDPI, vol. 8(6), pages 1-47, May.
  24. Li, Jian & Ge, Zhong & Duan, Yuanyuan & Yang, Zhen & Liu, Qiang, 2018. "Parametric optimization and thermodynamic performance comparison of single-pressure and dual-pressure evaporation organic Rankine cycles," Applied Energy, Elsevier, vol. 217(C), pages 409-421.
  25. Da Lio, Luca & Manente, Giovanni & Lazzaretto, Andrea, 2016. "Predicting the optimum design of single stage axial expanders in ORC systems: Is there a single efficiency map for different working fluids?," Applied Energy, Elsevier, vol. 167(C), pages 44-58.
  26. Masi, Massimo & Da Lio, Luca & Lazzaretto, Andrea, 2020. "An insight into the similarity approach to predict the maximum efficiency of organic Rankine cycle turbines," Energy, Elsevier, vol. 198(C).
  27. Satanphol, K. & Pridasawas, W. & Suphanit, B., 2017. "A study on optimal composition of zeotropic working fluid in an Organic Rankine Cycle (ORC) for low grade heat recovery," Energy, Elsevier, vol. 123(C), pages 326-339.
  28. Hui-Xing, Zhai & Wei, Dong & Lin, Shi & Qing-Song, An & Sui-Lin, Wang & Bao-Lin, An, 2022. "Theoretical selection criteria of organic Rankine cycle form for different heat sources," Energy, Elsevier, vol. 238(PC).
  29. Chu, Zheng & Zhang, Nan & Smith, Robin, 2022. "Modelling and integration of multi-parallel organic Rankine Cycles into total site," Energy, Elsevier, vol. 260(C).
  30. Yu, Haoshui & Feng, Xiao & Wang, Yufei & Biegler, Lorenz T. & Eason, John, 2016. "A systematic method to customize an efficient organic Rankine cycle (ORC) to recover waste heat in refineries," Applied Energy, Elsevier, vol. 179(C), pages 302-315.
  31. Kang, Lixia & Tang, Jianping & Liu, Yongzhong, 2020. "Optimal design of an organic Rankine cycle system considering the expected variations on heat sources," Energy, Elsevier, vol. 213(C).
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