Binary power generation system by utilizing solar energy in Malaysia
Document Type
Article
Publication Date
6-1-2022
Abstract
For binary cycle power plants, the energy of solar may be utilized as a heating source. Malaysia has a tropical climate, which receives 4500 kWh/m2 of solar irradiation on a daily basis and roughly 12 h of sunshine every day. Thus, the potential of binary power cycle plants in Malaysia by utilizing the energy of solar as a source of heat is very promising. However, to date, no feasibility study on binary power cycle generation by using the energy of solar as a source of heat in Malaysia has been conducted. Therefore, in this work, a techno-economic analysis on the proposed binary power cycle generation in Malaysia is conducted using commercially available software, HOMER and MATLAB Simulink. The analysis is conducted to assess the proposed binary power generation implementation in Malaysia. Particle Swarm Optimization (PSO), Artificial Bee Colony (ABC) and Teaching Learning Based Optimization (TLBO) are three separate metaheuristic algorithms that are exploited so as to determine the optimum cost of economic of the project. From the results obtained in this work, TLBO gives the most optimized economic cost compared to PSO and ABC. Also, it is found that binary power cycle generation by using energy of solar as a source of heat is feasible in Malaysia.(c) 2022 THE AUTHORS. Published by Elsevier BV on behalf of Faculty of Engineering, Ain Shams University.
Keywords
Renewable energy, Solar energy, Electrical power generation, Optimization algorithm
Divisions
sch_ecs
Funders
Universiti Malaya, Malaysia through Faculty Research Grant [Grant No:GPF077A-2018],UM Living Labs Grant [Grant No:IIRG001B-2020IISS],Impact-Oriented Interdisciplinary Research Grant [Grant No:LL046-2019],UM Living Labs Grant [Grant No:IIRG001B-2020IISS],RU SATU-Joint Research Grant [Grant No:LL046-2019]
Publication Title
Ain Shams Engineering Journal
Volume
13
Issue
4
Publisher
Elsevier
Publisher Location
RADARWEG 29, 1043 NX AMSTERDAM, NETHERLANDS