Superstructure-free synthesis and multi-objective optimization of supercritical CO₂ cycles
The optimization of the supercritical CO2 cycle structures is mostly experience-intensive and computation-demanding. Using the superstructure-free method can effectively realize computer-aided intelligent construction and optimization of cycle configurations. In this paper, an improved superstructur...
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sg-ntu-dr.10356-1700272023-08-22T04:09:42Z Superstructure-free synthesis and multi-objective optimization of supercritical CO₂ cycles Chen, Xiaoting Li, Xiaoya Pan, Mingzhang Wang, Zongrun School of Electrical and Electronic Engineering Engineering::Electrical and electronic engineering Carbon Dioxide Computer Aided Design The optimization of the supercritical CO2 cycle structures is mostly experience-intensive and computation-demanding. Using the superstructure-free method can effectively realize computer-aided intelligent construction and optimization of cycle configurations. In this paper, an improved superstructure-free algorithm is proposed which goes beyond the state-of-the-art methods by expanding the searching space and evaluation matrices. The improved algorithm can intelligently and simultaneously optimize the cycle structure and design parameters by considering both the net power output and specific investment cost as objective functions. By applying the algorithm, several previously unseen cycle structures were retrieved, and the maximum net power output increases by a range of 15.45% to 37.71%. The optimal cycle obtained by entropy weight and TOPSIS analysis of the Pareto solution set is a cascaded configuration of a double compression intercooling cycle and a basic cycle through sharing cooling process, which achieves a net power output of 37.75 kW and a specific investment cost of 5.33 $/W. The improved superstructure-free algorithm can also be applied to other thermodynamic cycles and can greatly contribute to the intelligent configuration design and optimization of similar thermodynamic cycles. The work is supported by Dean Project of Guangxi Key Laboratory of Petrochemical Resource Processing and Process Intensification Technology (No. 2020K009). 2023-08-22T04:09:41Z 2023-08-22T04:09:41Z 2023 Journal Article Chen, X., Li, X., Pan, M. & Wang, Z. (2023). Superstructure-free synthesis and multi-objective optimization of supercritical CO₂ cycles. Energy Conversion and Management, 284, 116966-. https://dx.doi.org/10.1016/j.enconman.2023.116966 0196-8904 https://hdl.handle.net/10356/170027 10.1016/j.enconman.2023.116966 2-s2.0-85151487518 284 116966 en Energy Conversion and Management © 2023 Elsevier Ltd. All rights reserved. |
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Engineering::Electrical and electronic engineering Carbon Dioxide Computer Aided Design Chen, Xiaoting Li, Xiaoya Pan, Mingzhang Wang, Zongrun Superstructure-free synthesis and multi-objective optimization of supercritical CO₂ cycles |
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The optimization of the supercritical CO2 cycle structures is mostly experience-intensive and computation-demanding. Using the superstructure-free method can effectively realize computer-aided intelligent construction and optimization of cycle configurations. In this paper, an improved superstructure-free algorithm is proposed which goes beyond the state-of-the-art methods by expanding the searching space and evaluation matrices. The improved algorithm can intelligently and simultaneously optimize the cycle structure and design parameters by considering both the net power output and specific investment cost as objective functions. By applying the algorithm, several previously unseen cycle structures were retrieved, and the maximum net power output increases by a range of 15.45% to 37.71%. The optimal cycle obtained by entropy weight and TOPSIS analysis of the Pareto solution set is a cascaded configuration of a double compression intercooling cycle and a basic cycle through sharing cooling process, which achieves a net power output of 37.75 kW and a specific investment cost of 5.33 $/W. The improved superstructure-free algorithm can also be applied to other thermodynamic cycles and can greatly contribute to the intelligent configuration design and optimization of similar thermodynamic cycles. |
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School of Electrical and Electronic Engineering |
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School of Electrical and Electronic Engineering Chen, Xiaoting Li, Xiaoya Pan, Mingzhang Wang, Zongrun |
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Article |
author |
Chen, Xiaoting Li, Xiaoya Pan, Mingzhang Wang, Zongrun |
author_sort |
Chen, Xiaoting |
title |
Superstructure-free synthesis and multi-objective optimization of supercritical CO₂ cycles |
title_short |
Superstructure-free synthesis and multi-objective optimization of supercritical CO₂ cycles |
title_full |
Superstructure-free synthesis and multi-objective optimization of supercritical CO₂ cycles |
title_fullStr |
Superstructure-free synthesis and multi-objective optimization of supercritical CO₂ cycles |
title_full_unstemmed |
Superstructure-free synthesis and multi-objective optimization of supercritical CO₂ cycles |
title_sort |
superstructure-free synthesis and multi-objective optimization of supercritical co₂ cycles |
publishDate |
2023 |
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https://hdl.handle.net/10356/170027 |
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1779156248732631040 |