Title: 4E analysis and multi-objective optimisation for a solar hybrid steam power plant using ABC algorithm: a case study in Iran

Authors: Davood Beyralvand; Mahmood Yaghoubi

Addresses: School of Mechanical Engineering, Shiraz University, Mollasadra Ave., Shiraz, 71936-16548, Iran ' School of Mechanical Engineering, Shiraz University, Mollasadra Ave., Shiraz, 71936-16548, Iran

Abstract: The objectives of this study are 4E analysis and multi-objective optimisation for solar hybrid fossil fuel power generation system and steam power plant without solar field (WSF) of Karaj during a year. The analysis is performed using MATLAB programing, and validated with a power plant unit data. The results show that system with oil-water heat exchanger (solar hybrid system), has less CO₂ emission and fuel consumption than WSF power plant but 2.8% more exergy efficiency. The annual average contribution of steam on the production of electricity during sunny hours and during the day, are 15% and 7.3%, respectively. By using artificial bee colony (ABC) algorithm, system is optimised for maximum exergy efficiency and minimum cost of produced electricity. Furthermore, sensitivity analysis is performed to study the solar tracking modes, changing the number of collector loops, capacity of the power plant, interest rate and plant economic life on unit cost.

Keywords: solar hybrid steam power plant; fossil fuel power generation system; CO₂ emission; total revenue requirements; TRR; ABC algorithm; 4E analysis; Iran.

DOI: 10.1504/IJPEC.2021.113056

International Journal of Power and Energy Conversion, 2021 Vol.12 No.1, pp.44 - 75

Received: 27 Jan 2020
Accepted: 20 May 2020
Published online: 16 Feb 2021 *

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