Modelling of energy and exergy analysis of ORC integrated systems in terms of sustainability by applying artificial neural network
[Thermodynamic performance evaluation of a novel solar energy based multigeneration system]
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- Lili Wei & Zhenjun Ma & Xuemei Gong & Xiujuan Guo, 2019. "Experimental investigation and performance analysis of an Organic Rankine Cycle for low-temperature heat to electricity generation," International Journal of Low-Carbon Technologies, Oxford University Press, vol. 14(4), pages 500-507.
- Tong, Yijie & Kim, Jinhyun & Cho, Honghyun, 2015. "Effects of thermal performance of enclosed-type evacuated U-tube solar collector with multi-walled carbon nanotube/water nanofluid," Renewable Energy, Elsevier, vol. 83(C), pages 463-473.
- Muhyiddine Jradi & Jinxing Li & Hao Liu & Saffa Riffat, 2014. "Micro-scale ORC-based combined heat and power system using a novel scroll expander," International Journal of Low-Carbon Technologies, Oxford University Press, vol. 9(2), pages 91-99.
- Ersöz, Mustafa Ali, 2016. "Effects of different working fluid use on the energy and exergy performance for evacuated tube solar collector with thermosyphon heat pipe," Renewable Energy, Elsevier, vol. 96(PA), pages 244-256.
- Jorge Facão & Ana Palmero-Marrero & Armando C. Oliveira, 2008. "Analysis of a solar assisted micro-cogeneration ORC system," International Journal of Low-Carbon Technologies, Oxford University Press, vol. 3(4), pages 254-264, October.
- Huang, Xiaona & Wang, Qiliang & Yang, Honglun & Zhong, Shuai & Jiao, Dongsheng & Zhang, Kaili & Li, Mujun & Pei, Gang, 2019. "Theoretical and experimental studies of impacts of heat shields on heat pipe evacuated tube solar collector," Renewable Energy, Elsevier, vol. 138(C), pages 999-1009.
- Ghritlahre, Harish Kumar & Prasad, Radha Krishna, 2018. "Application of ANN technique to predict the performance of solar collector systems - A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 84(C), pages 75-88.
- Marugán, Alberto Pliego & Márquez, Fausto Pedro García & Perez, Jesus María Pinar & Ruiz-Hernández, Diego, 2018. "A survey of artificial neural network in wind energy systems," Applied Energy, Elsevier, vol. 228(C), pages 1822-1836.
- Zafer Utlu & Büşra Selenay Önal, 2018. "Thermodynamic analysis of thermophotovoltaic systems used in waste heat recovery systems: an application," International Journal of Low-Carbon Technologies, Oxford University Press, vol. 13(1), pages 52-60.
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Keywords
energy and exergy analysis; sustainability; artificial neural network; ORC system;All these keywords.
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