Genetic algorithm optimization of heliostat field layout for the design of a central receiver solar thermal power plant.

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Bibliographic Details
Title: Genetic algorithm optimization of heliostat field layout for the design of a central receiver solar thermal power plant.
Authors: Haris M; Department of Electrical Engineering, Balochistan University of Information Technology, Engineering and Management Sciences (BUITEMS), Quetta 87300, Pakistan., Rehman AU; Department of Electrical Engineering, Balochistan University of Information Technology, Engineering and Management Sciences (BUITEMS), Quetta 87300, Pakistan., Iqbal S; Department of Electrical Engineering, University of Azad Jammu and Kashmir, Muzaffarabad, Pakistan., Athar SO; Department of Electronic Engineering, Balochistan University of Information Technology, Engineering and Management Sciences (BUITEMS), Quetta 87300, Pakistan., Kotb H; Department of Electrical Power and Machines, Faculty of Engineering, Alexandria University, Alexandria 21544, Egypt., AboRas KM; Department of Electrical Power and Machines, Faculty of Engineering, Alexandria University, Alexandria 21544, Egypt., Alkuhayli A; Electrical Engineering Department, College of Engineering, King Saud University, Riyadh 11421, Saudi Arabia., Ghadi YY; Department of Computer Science and Software Engineering, Al Ain University, Abu Dhabi 15322, United Arab Emirates., Kitmo; University of Maroua, National Advanced School of Engineering of Maroua, Department of Renewable Energy, P.O. Box 46 Maroua, Cameroon.
Source: Heliyon [Heliyon] 2023 Nov 01; Vol. 9 (11), pp. e21488. Date of Electronic Publication: 2023 Nov 01 (Print Publication: 2023).
Publication Type: Journal Article
Journal Info: Publisher: Elsevier Ltd Country of Publication: England NLM ID: 101672560 Publication Model: eCollection Cited Medium: Print ISSN: 2405-8440 (Print) Linking ISSN: 24058440 NLM ISO Abbreviation: Heliyon Subsets: PubMed not MEDLINE
Database: MEDLINE Ultimate
Description
ISSN:2405-8440
DOI:10.1016/j.heliyon.2023.e21488