Optimization of solar thermal power plants under weather uncertainty

Solar thermal power generation is a promising source of renewable energy in India. The performance of a solar thermal solar plant is though subject to short term weather uncertainties as well as long term climate uncertainties (driven by climate change). These uncertainties reduce the efficiency of power generation. This project will focus on optimizing the performance of the solar thermal plant in the presence of these uncertainties. Taking selected locations and their typical weather patterns in India, we will quantify the performance and them perform stochastic optimization. The results will provide strategies to reduce the effective cost of solar thermal power generation. The work is completely computational and involves mathematical programming as the core.

This project will be co-supervised by Prof. Urmila Diwekar, visiting faculty in the department. A similar study in the US context can be found at: https://www.mdpi.com/1996-1073/13/12/3131

Name of Faculty