LAPSE:2023.18470
Published Article

LAPSE:2023.18470
A Review of Multi-Objective Optimization in Organic Rankine Cycle (ORC) System Design
March 8, 2023
Abstract
Organic Rankine cycle (ORC) is considered a promising heat-to-power technology to utilize waste heat and renewable energy, including solar, biomass and geothermal. However, since the thermodynamic, economic and environmental performance is usually conflict, the single objective design could no longer meet the requirements of the ORC system, putting forward urgent requirements for multi-objective optimization, which has attracted increasing attention with lots of papers published. However, due to these different decision variables, optimization objectives and approaches, existing research is significantly different from each other and is difficult to compare without a systematic summary. Therefore, this paper provides an overview of ORC multi-objective research from three perspectives: optimization objective, method and optimization parameters. Based on the classification of different objectives, this work summarizes the involved variables and provides a recommendation for selecting appropriate objectives in different scenarios. For the optimization method, this work compares different approaches and reveals their advantages and disadvantages. Finally, the decision variables are reviewed and classified into four levels. Then the integrated design approach considering “system-process-component-fluid” is proposed and recommended for further development.
Organic Rankine cycle (ORC) is considered a promising heat-to-power technology to utilize waste heat and renewable energy, including solar, biomass and geothermal. However, since the thermodynamic, economic and environmental performance is usually conflict, the single objective design could no longer meet the requirements of the ORC system, putting forward urgent requirements for multi-objective optimization, which has attracted increasing attention with lots of papers published. However, due to these different decision variables, optimization objectives and approaches, existing research is significantly different from each other and is difficult to compare without a systematic summary. Therefore, this paper provides an overview of ORC multi-objective research from three perspectives: optimization objective, method and optimization parameters. Based on the classification of different objectives, this work summarizes the involved variables and provides a recommendation for selecting appropriate objectives in different scenarios. For the optimization method, this work compares different approaches and reveals their advantages and disadvantages. Finally, the decision variables are reviewed and classified into four levels. Then the integrated design approach considering “system-process-component-fluid” is proposed and recommended for further development.
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Keywords
carbon emission, fluid design, intelligent algorithm, multi-objective optimization, off-design, organic Rankine cycle, superstructure, system design, waste heat recovery
Subject
Suggested Citation
Hu S, Yang Z, Li J, Duan Y. A Review of Multi-Objective Optimization in Organic Rankine Cycle (ORC) System Design. (2023). LAPSE:2023.18470
Author Affiliations
Hu S: Key Laboratory for Thermal Science and Power Engineering of MOE, Key Laboratory for CO2, Utilization and Reduction Technology, Tsinghua University, Beijing 100084, China
Yang Z: Key Laboratory for Thermal Science and Power Engineering of MOE, Key Laboratory for CO2, Utilization and Reduction Technology, Tsinghua University, Beijing 100084, China
Li J: Key Laboratory for Thermal Science and Power Engineering of MOE, Key Laboratory for CO2, Utilization and Reduction Technology, Tsinghua University, Beijing 100084, China [ORCID]
Duan Y: Key Laboratory for Thermal Science and Power Engineering of MOE, Key Laboratory for CO2, Utilization and Reduction Technology, Tsinghua University, Beijing 100084, China
Yang Z: Key Laboratory for Thermal Science and Power Engineering of MOE, Key Laboratory for CO2, Utilization and Reduction Technology, Tsinghua University, Beijing 100084, China
Li J: Key Laboratory for Thermal Science and Power Engineering of MOE, Key Laboratory for CO2, Utilization and Reduction Technology, Tsinghua University, Beijing 100084, China [ORCID]
Duan Y: Key Laboratory for Thermal Science and Power Engineering of MOE, Key Laboratory for CO2, Utilization and Reduction Technology, Tsinghua University, Beijing 100084, China
Journal Name
Energies
Volume
14
Issue
20
First Page
6492
Year
2021
Publication Date
2021-10-11
ISSN
1996-1073
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Original Submission
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PII: en14206492, Publication Type: Review
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LAPSE:2023.18470
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https://doi.org/10.3390/en14206492
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