India needs to enhance its electricity grid to support the integration of 500 GW of solar and wind generators by 2030. A hybrid grid-scale energy storage system will therefore be essential for balancing the increasing electricity demand while maintaining grid stability. Thus, the primary aim of this study is to determine the optimal over-generation capacity, minimum net present value, and unit-dispatch schedule necessary to develop a grid-scale solar and wind hybrid adiabatic compressed air energy storage system (ACAESS) in India, which would meet 20% of the country's electricity demand from 2028 to 2030. The paper’s novelty lies in its methodology, which uses the criteria that the total unmet demand has to be less than or equal to 100 GW. The required dataset for the electricity demand of 2028–2030 is acquired by compounding annually the demand data of 2021–2023 at 7.18% through 2026–28 and then by 5.79% till 2028–2030. The solar and wind generation dataset is obtained by compounding the 2021–2023 data annually at 20% till 2028–2030. The generation cost in 2028–2030 is assumed to be 4 INR/kWh. This research can assist policymakers for shaping energy policies in India and worldwide for supporting net-zero emission goals of the future.

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Techno-Economic Feasibility of Solar and Wind Hybrid Adiabatic Compressed Air Energy Storage System for 20% of the Electricity Demand of 2028–2030 in India

  • Debanjan Mukherjee,
  • Nikhil Kumar Mishra,
  • Karuna Kalita,
  • Subhash Kumar,
  • Aamresh Mallick,
  • Samar Chandra De

摘要

India needs to enhance its electricity grid to support the integration of 500 GW of solar and wind generators by 2030. A hybrid grid-scale energy storage system will therefore be essential for balancing the increasing electricity demand while maintaining grid stability. Thus, the primary aim of this study is to determine the optimal over-generation capacity, minimum net present value, and unit-dispatch schedule necessary to develop a grid-scale solar and wind hybrid adiabatic compressed air energy storage system (ACAESS) in India, which would meet 20% of the country's electricity demand from 2028 to 2030. The paper’s novelty lies in its methodology, which uses the criteria that the total unmet demand has to be less than or equal to 100 GW. The required dataset for the electricity demand of 2028–2030 is acquired by compounding annually the demand data of 2021–2023 at 7.18% through 2026–28 and then by 5.79% till 2028–2030. The solar and wind generation dataset is obtained by compounding the 2021–2023 data annually at 20% till 2028–2030. The generation cost in 2028–2030 is assumed to be 4 INR/kWh. This research can assist policymakers for shaping energy policies in India and worldwide for supporting net-zero emission goals of the future.