Rigorous modelling and deterministic multi-objective optimization of a super-critical CO2 power system based on equation of state and non-linear programming

•A novel method is proposed for the PP locating and optimization of CO2 cycle.•A multi-objective NLP model incorporating rigorous equation of state is developed.•Case study is elaborated to demonstrate the effectiveness of the proposed methodology.•Sensitivity analysis of key parameters on PP and op...

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Bibliographic Details
Published in:	Energy conversion and management Vol. 198; p. 111798
Main Authors:	Yang, Zhi, Kang, Ruili, Luo, Xianglong, Chen, Jianyong, Liang, Yingzong, Wang, Chao, Chen, Ying, Xu, Jinliang
Format:	Journal Article
Language:	English
Published:	Oxford Elsevier Ltd 15.10.2019 Elsevier Science Ltd
Subjects:	Carbon dioxide case studies Clean technology CO2 power cycle Compressing Computer simulation Continuity (mathematics) Efficiency energy Equation of state equations Equations of state Fossil fuels Heat exchange Heat exchangers Heat sinks Heat transfer Inlet temperature Linear programming Mathematical models Mathematical programming Multiple objective analysis NLP Nonlinear programming Nuclear fuels Optimization Pareto optimization Physical properties Pinch point locating Power efficiency Sensitivity analysis Solar energy sustainable technology system optimization temperature Thermodynamic efficiency Waste heat CO2 power cycle NLP Optimization Equation of state Pinch point locating
ISSN:	0196-8904, 1879-2227
Online Access:	Get full text
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