Varun Jyothiprakash, Balachandra Patil
Globally, achieving net-zero carbon is the new target set for energy systems. Consequently, the energy systems are undergoing a paradigm shift from least cost, robust, carbon-intensive, on-demand and firm power conventional systems to uncertain, intermittent, and variable renewable energy-integrated low-carbon electricity systems. Hence, the needs of planning and operations in transitioning electricity systems have changed from balancing “static supply with dynamic demand” to balancing “dynamic supply with dynamic demand”. This study proposes a novel linear programming-based optimisation model as a tool for planning electricity system transitions. The objective is to balance dynamic supply with dynamic demand at minimum cost and address the inherent challenges of renewable energy (RE) integration. It is designed to evaluate the technical characteristics of various supply technologies, their temporal and spatial resource potential, availability, and economics, thereby curating the least-cost generation mix at hourly resolution. The model has been validated on the electricity system of Karnataka, India, and the results were within an acceptable standard error of ±10%. The modelled system shows a lower economic cost of generation (Rs. 2.04/kWh) compared to the actual system performance (Rs. 2.13/kWh), in addition to higher utilisation of renewable resources than the actual system.
@article{3997024e-718a-4878-86d5-9bda6518cd26,
title={An optimization model for low carbon electricity transition planning: a case study from India},
author={Varun Jyothiprakash and Balachandra Patil},
year={2026},
language={en}
}TY - JOUR TI - An optimization model for low carbon electricity transition planning: a case study from India AU - Varun Jyothiprakash AU - Balachandra Patil PY - 2026 LA - en ER -
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