A Review of Multi-Objective Optimization in Organic Rankine Cycle (ORC) System Design

Shuozhuo Hu, Zhen Yang, Jian Li and Yuanyuan Duan
Additional contact information
Shuozhuo Hu: Key Laboratory for Thermal Science and Power Engineering of MOE, Key Laboratory for CO 2 , Utilization and Reduction Technology, Tsinghua University, Beijing 100084, China
Zhen Yang: Key Laboratory for Thermal Science and Power Engineering of MOE, Key Laboratory for CO 2 , Utilization and Reduction Technology, Tsinghua University, Beijing 100084, China
Jian Li: Key Laboratory for Thermal Science and Power Engineering of MOE, Key Laboratory for CO 2 , Utilization and Reduction Technology, Tsinghua University, Beijing 100084, China
Yuanyuan Duan: Key Laboratory for Thermal Science and Power Engineering of MOE, Key Laboratory for CO 2 , Utilization and Reduction Technology, Tsinghua University, Beijing 100084, China

Energies, 2021, vol. 14, issue 20, 1-36

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.

Keywords: multi-objective optimization; organic Rankine cycle; system design; waste heat recovery; carbon emission; intelligent algorithm; superstructure; fluid design; off-design (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2021
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (11)

Downloads: (external link)
https://www.mdpi.com/1996-1073/14/20/6492/pdf (application/pdf)
https://www.mdpi.com/1996-1073/14/20/6492/ (text/html)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:gam:jeners:v:14:y:2021:i:20:p:6492-:d:653195

Access Statistics for this article

Energies is currently edited by Ms. Agatha Cao

More articles in Energies from MDPI
Bibliographic data for series maintained by MDPI Indexing Manager ().