Artificial neural network (ANN) based prediction and optimization of an organic Rankine cycle (ORC) for diesel engine waste heat recovery

•Test bench of combined diesel engine and ORC waste heat recovery system is developed.•An ANN based prediction model of the ORC system is established.•Effects of operating parameters on power output of the ORC system are investigated.•Prediction accuracy comparison between thermodynamic and ANN mode...

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Veröffentlicht in:	Energy conversion and management 2018-05, Vol.164, p.15-26
Hauptverfasser:	Yang, Fubin, Cho, Heejin, Zhang, Hongguang, Zhang, Jian, Wu, Yuting
Format:	Artikel
Sprache:	eng
Schlagworte:	Artificial neural network Artificial neural networks Correlation coefficient Correlation coefficients Data recovery Diesel Diesel engine Diesel engines Errors Experimental data Genetic algorithms Heat Heat recovery Heat recovery systems Learning theory Mathematical models Model accuracy Model testing Neural networks Optimization Optimization techniques Organic chemistry Organic Rankine cycle Parameters Performance prediction Rankine cycle Waste heat Waste heat recovery Waste materials
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