Optimization of solar and wind power generation systems with energy storage

Abstract

This thesis explores the optimization and system configuration of a 100 MW renewable energy facility for a prominent South Asian energy firm currently reliant on fossil-based energy sources. The aim is to integrate 70 MW of solar, 30 MW of wind, and a 10 MW Battery Energy Storage System (BESS) to ensure a dependable power supply and enhance grid stability during peak demand periods.

The study involves comprehensive meteorological data analysis, including monthly irradiance patterns and average wind speeds obtained from sources such as Meteonorm 8.1 and WRF, utilizing PVsyst and WindPRO for solar and wind systems respectively.

The optimization techniques encompass adjustments to panel tilt angles, interspace distances, turbine positioning, and the synthesis of wind turbines at varying hub heights. Additionally, the study analyses and optimizes site roughness and elevation to mitigate associated energy loss effects.

The selection of the lithium-ion BESS was made after a comprehensive literature review tailored to the project's specific requirements and battery chemistry, aligning seamlessly with the objectives of the thesis.

This research holds significance for South Asia's energy landscape by advocating sustainable practices and highlighting the utility of simulation tools in renewable energy farm design. The findings underscore the feasibility and advantages of a synergistic approach that combines solar, wind, and advanced energy storage technologies.