เกี่ยวกับตอนนี้
The Indian energy sector is at a critical juncture. Electricity consumption, a key indicator of economic growth, has grown significantly over the past 50-60 years, and India is primed to leapfrog into a sustainably powered future.
This transition calls for a robust policy foundation, technological advancements in demand-supply and storage mechanisms, and a keen study of economic incentives for users of green energy. In this episode of Decoding Impact, Rathish Balakrishnan is in conversation with scientist Dr. Nikit Abhyankar to unpack the unique opportunity India has, to transition to renewable energy, with economic viability and technological feasibility at the centre.
Through this conversation, you will learn about:
• The interplay between energy consumption and economic growth;
• The potential for the energy sector to leapfrog mirroring India's telecom boom;
• The policy environment, key shifts necessary in demand management, and
• The role of digital public infrastructure (DPI) in facilitating efficient energy transactions.
Tune into this latest episode of Decoding Impact today!
Dr Nikit Abhyankar is a Scientist at the Lawrence Berkeley National Laboratory, and a Senior Scientist at the Center for Environmental Public Policy of the University of California, Berkeley. Dr Abhyankar has conducted extensive research and policy analysis on a range of key energy issues such as renewable energy, energy efficiency, electric vehicles, and energy access in the United States and key emerging economies such as India, China, Indonesia, and Vietnam. He regularly advises governments, regulators, and utilities in multiple countries on designing clean energy policies and programs.
Guest: Dr Nikit Abhyankar
Host: Rathish Balakrishnan
Producer: Meenakshi Iyer
Produced by: Pickle Jar Media
Explore some of our SKI products related to this topic:
Enabling Energy Transition Through Open Networks
Green Roads Ahead: Decoding India's EV and
Digital Public Infrastructure ft. Akhil JP & Arun VinayakDigital Public Goods Glossary
