Elitist Rao algorithms and R-method for optimization of energy systems
Authors:
- Ravipudi Venkata Rao,
- Hameer Singh Keesari,
- Jan Taler,
- Pawel Oclon,
- David Taler
Abstract
Identifying, examining, and optimizing the impact of different parameters in a renewable energy system can significantly help determine its efficiency. Furthermore, since these systems have several objectives such as power output, system efficiency, investment cost, economic, and ecological factors, it is often not preferable to present the optimum system parameters considering just one objective. This article proposes three improved versions of recently developed Rao algorithms named elitist Rao algorithms to find optimum system parameters of renewable energy systems. In addition, a new multi-attribute decision-making method named R-method is proposed for selecting the best solution from the Pareto-fronts obtained using the elitist Rao algorithms. The proposed algorithms are tested using 30 single-objective unconstrained benchmark functions, and the significance of improvement over basic Rao algorithms is validated using the Friedman statistical test. Later, the proposed algorithms’ performances are tested in multi- and many-objective optimization scenarios of a solar-assisted Stirling heat engine system and a turbocharged direct injection diesel engine system. Furthermore, the proposed algorithms’ effectiveness is presented in terms of hypervolume, coverage, and spacing metrics. Also, the performances of the proposed algorithms in single-, multi-, and many-objective optimization are compared with the other algorithms from the literature and found to be superior or competitive.
- Record ID
- CUT10461faf8b684f5e807544c08af4040f
- Publication categories
- ; ;
- Author
- Journal series
- Heat Transfer Engineering, ISSN 0145-7632, e-ISSN 1521-0537
- Issue year
- 2023
- Vol
- 44
- No
- 11-12
- Pages
- 926-950
- Other elements of collation
- schem.; tab.; wykr.; Bibliografia (na s.) - 948-950; Bibliografia (liczba pozycji) - 55; Oznaczenie streszczenia - Abstr.; Data udostępnienia on-line - 2022-08-25; Numeracja w czasopiśmie - Vol. 44, Iss. 11-12, Spec. Iss.
- Conference
- Vth Modern Power Systems and Units (MPSU) Conference in Celebration of Professor Jan Taler on His 70th Birthday (MPSU 2021), 2021, 19-05-2021 - 21-05-2021, Online, Polska
- Keywords in English
- renewable energy systems, computational experiments, multi-objective optimization, solar-assisted heat Stirling engine, turbocharged Diesel engine
- ASJC Classification
- ; ;
- DOI
- DOI:10.1080/01457632.2022.2113448 Opening in a new tab
- URL
- https://www.tandfonline.com/doi/abs/10.1080/01457632.2022.2113448 Opening in a new tab
- Language
- eng (en) English
- Score (nominal)
- 70
- Score source
- journalList
- Score
- Publication indicators
- Additional fields
- Indeksowana w: Web of Science, Scopus
- Uniform Resource Identifier
- https://cris.pk.edu.pl/info/article/CUT10461faf8b684f5e807544c08af4040f/
- URN
urn:pkr-prod:CUT10461faf8b684f5e807544c08af4040f
* presented citation count is obtained through Internet information analysis, and it is close to the number calculated by the Publish or PerishOpening in a new tab system.