Energy transition is a complex process. It deals with the evaluation of the multiple resource-technology combinations to achieve the much-required transition. Enabling the existing energy systems to become low carbon /net-carbon zero would need innovative solutions at technology, economy and policy fronts. Clean electrification of the existing grids is an important pathway, strategies for which has been developed for decades. With high integration of the renewable energy systems into the electric grids, there would be substantial amount of integration cost which would lead to the existing and future infrastructure plans. Integration cost has been addressed briefly in some of the works, however addressing this in a robust power system operational framework for the large-scale transition is still a grey area. This Ph.D. project would deal with the refinements of existing power system models and algorithms with bottom-up approach to indicate the realistic integration cost and its impact on the levelized cost of electricity of various resource- technology options for the energy transition. The project would also internalize the additional benefits which such projects can gain through the ancillary markets and demand side management, to improve their cost effectiveness. Overall, the project would lead to the development of a framework to indicate the realistic techno-economy metrics incorporating the power system impacts and the pathways to optimize the same. Background required: Bachelors or Masters degree in Chemical Engineering, Mechanical Engineering, Energy Engineering, or related areas. A strong interest in mathematical modelling and knowledge of deep learning is desirable.
“Elevating Horizons Through Discovery and Ingenuity”