Wind Farm Layout Optimization

Last updated on Wednesday, August 23, 2023
Visualization made by David Bock
Genetic Algorithm
Kangari Narender Reddy
Kangari Narender Reddy
Reasearch Scientist

My research interests include land surface modeling, surface fluxes (water, energy, and carbon fluxes), and renewable meteorology. I worked with the Integrated Science Assessment Model (ISAM) and the Community Land Surface Model version 5.0 (CLM5.0). I am currently working on implementing the “p-model” in the JULES LSM.

Publications

Layout optimization for offshore wind farms in India using the genetic algorithm technique
Wind Farm Layout Optimization Problem (WFLOP) is a critical issue when installing a large wind farm. In this study, we apply the Genetic Algorithm (GA) to solve the WFLOP for large hypothetical offshore wind farms using real wind data. The study site is the Palk Strait, located between India and Sri Lanka. Optimized layouts produce better results in terms of efficiency and cost.
Kangari Narender Reddy, Somnath Baidya Roy
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Layout optimization for offshore wind farms in India using the genetic algorithm technique
Layout optimization for a large offshore wind farm using Genetic Algorithm
Kangari Narender Reddy, Somnath Baidya Roy
Project Video Source Document DOI