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Design and optimization of a compressed air energy storage (CAES) power plant by implementing genetic algorithm

Reza Shamshirgaran, S. and Ameri, M. and Khalaji, M. and Ahmadi, M.H. (2016) Design and optimization of a compressed air energy storage (CAES) power plant by implementing genetic algorithm. Mechanics and Industry, 17 (1).

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Official URL: https://www.scopus.com/inward/record.uri?eid=2-s2....

Abstract

Today all engineering efforts are focused on the optimum utilization of available energy sources. The energy price is a critical subject regarding the present global conditions over the world. The strong penalties of CO2 generation have forced the designers to develop systems having the least pollution. Almost two thirds of electrical output energy of a conventional gas turbine (GT) is consumed by its compressor section, which is the main motivation for the development of Compressed Air Energy Storage (CAES) power plants. The main objective of this paper is to obtain the optimum parameters through which the CAES GT cycle can be designed effectively. The cost-benefit function as a target function has been maximized using the Genetic Algorithm. The Thermoflex software has been used for the CAES cycle modeling and design calculation. Meanwhile the sensitivity analysis results have shown that the net annual benefit and the discharge time duration of CAES plant decrease by increasing the fuel price. In addition, the optimal recuperator effectiveness increases with increasing the fuel price until it reaches its maximum value. Therefore, one can conclude that the future design modifications of the system as well as the variation in operation strategy of the existing plant will be based on the varying fuel price. © AFM, EDP Sciences 2015.

Item Type:Article
Impact Factor:cited By 3
Uncontrolled Keywords:Algorithms; Carbon dioxide; Compressed air; Computer aided engineering; Cost effectiveness; Costs; Design; Energy storage; Fuels; Gas compressors; Gas plants; Gas turbine power plants; Gas turbines; Genetic algorithms; Optimization; Pressure vessels; Sensitivity analysis, Available energy; Compressed air energy storages (CAES); Design and optimization; Design calculations; Electrical output; Global conditions; Operation strategy; Optimum parameters, Compressed air energy storage
ID Code:25797
Deposited By: Ms Sharifah Fahimah Saiyed Yeop
Deposited On:27 Aug 2021 13:06
Last Modified:27 Aug 2021 13:06

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