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Journal of Electrical Power & Energy Systems

ISSN Print: 2576-0521 Downloads: 60418 Total View: 598101
Frequency: semi-annually ISSN Online: 2576-053X CODEN: JEPEEG
Email: jepes@hillpublisher.com Citations: 41

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ArticleOpen Access http://dx.doi.org/10.26855/jepes.2025.06.002

Performance Assessment and Optimization of Wind Turbine Models in India’s National Capital Region Using RETscreen and MCDM Approach

Parminder Singh1, Harpreet Kaur Channi2,*

1Independent Research Scholar, Delhi 110001, India.

2Guru Nanak Dev Engineering College, Ludhiana, Punjab 141006, India.

*Corresponding author: Harpreet Kaur Channi

Published: October 9,2025

Abstract

India has been actively embracing the exploitation of renewable energy sources to combat carbon emissions and address global warming for nearly a decade. Although renewable energy power plants and utilization have been growing, the generation of electric power from fossil fuels still exceeds that from renewable sources by approximately 20%. By February 2022, renewable resources accounted for only 40.3% of total electricity generation, with wind energy contributing a mere 10.2%. To optimize wind power generation, an investigation was conducted in India’s National Capital Region using RETscreen Expert to assess the energy production and performance of various wind turbine models. The Multi-Criteria Decision-Making (MCDM) technique was employed to rank these models based on both beneficial and non-beneficial parameters. This study seeks to shed light on the disparity between renewable and fossil fuel-based electricity generation in India and proposes an objective approach to enhance the effectiveness of wind turbines in meeting the ever-increasing power demands of industrial sectors. By focusing on this approach, India can move closer to achieving its renewable energy goals and mitigating the adverse effects of climate change.

Keywords

Renewable energy; Wind power generation; Fossil fuels; RETscreen Expert; India’s national capital region

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How to cite this paper

Performance Assessment and Optimization of Wind Turbine Models in India’s National Capital Region Using RETscreen and MCDM Approach

How to cite this paper: Parminder Singh, Harpreet Kaur Channi. (2025) Performance Assessment and Optimization of Wind Turbine Models in India’s National Capital Region Using RETscreen and MCDM Approach. Journal of Electrical Power & Energy Systems9(1), 6-17.

DOI: http://dx.doi.org/10.26855/jepes.2025.06.002