Optimised cost of wind energy using MRWT
by Navjot Singh Sandhu; Saurabh Chanana
International Journal of Energy Technology and Policy (IJETP), Vol. 17, No. 3, 2021

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.

Online publication date: Tue, 20-Jul-2021

The full text of this article is only available to individual subscribers or to users at subscribing institutions.

 
Existing subscribers:
Go to Inderscience Online Journals to access the Full Text of this article.

Pay per view:
If you are not a subscriber and you just want to read the full contents of this article, buy online access here.

Complimentary Subscribers, Editors or Members of the Editorial Board of the International Journal of Energy Technology and Policy (IJETP):
Login with your Inderscience username and password:

Username:        Password:          Forgotten your password?

Want to subscribe?
A subscription gives you complete access to all articles in the current issue, as well as to all articles in the previous three years (where applicable). See our Orders page to subscribe.

If you still need assistance, please email subs@inderscience.com