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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Main Authors: Chen, Xiaoting, Li, Xiaoya, Pan, Mingzhang, Wang, Zongrun
Other Authors: School of Electrical and Electronic Engineering
Format: Article
Language:English
Published: 2023
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Online Access:https://hdl.handle.net/10356/170027
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Institution: Nanyang Technological University
Language: English
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spelling 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.
institution Nanyang Technological University
building NTU Library
continent Asia
country Singapore
Singapore
content_provider NTU Library
collection DR-NTU
language English
topic Engineering::Electrical and electronic engineering
Carbon Dioxide
Computer Aided Design
spellingShingle 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
description 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.
author2 School of Electrical and Electronic Engineering
author_facet School of Electrical and Electronic Engineering
Chen, Xiaoting
Li, Xiaoya
Pan, Mingzhang
Wang, Zongrun
format 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
url https://hdl.handle.net/10356/170027
_version_ 1779156248732631040