Optimised cost of wind energy using MRWT

Navjot Singh Sandhu and Saurabh Chanana

International Journal of Energy Technology and Policy, 2021, vol. 17, issue 3, 263-274

Abstract: In this paper, an effort has been made to compare the cost of energy of different configurations of multi-rotor wind turbines (MRWT). Three different optimisation techniques, i.e., genetic algorithm (GA), particle swarm optimisation (PSO) and pigeon inspired optimisation (PIO) have been employed to find out the most suitable rotor configuration for the minimum cost of wind power generation. Power, energy and cost models as proposed are used to determine the annual energy yield and economics of multi-rotor turbines. Simulation results using three optimisation algorithms give the same rotor configuration for minimum cost of energy.

Keywords: annual energy production; cost of energy generation; cost model of wind turbine; economics of multi-rotor wind turbine; genetic algorithms; number of rotors; optimisation algorithms; particle swarm optimisation; PSO; pigeon inspired optimisation; PIO; wind turbine project cost. (search for similar items in EconPapers)
Date: 2021
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Persistent link: https://EconPapers.repec.org/RePEc:ids:ijetpo:v:17:y:2021:i:3:p:263-274

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