NITI Aayog releases Scenarios Towards Viksit Bharat and Net Zero: Power report | Current Affairs | Vision IAS

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In Summary

  • India's power sector, 39.4% of 2020 GHG emissions, needs 9-14x renewable capacity by 2070 for Net Zero.
  • Massive storage (3,000 GW batteries) and nuclear expansion (300 GW) are crucial for grid stability and firm power.
  • Recommendations include scaling solar-wind-storage, expanding nuclear (SMRs), reforming T&D, deepening markets, and mobilizing climate finance.

In Summary

The report examines India’s electricity transition under current policy scenarios (CPS) aligned with India’s Net Zero Scenario (NZS) by 2070 commitment.

  • The power sector accounted for 39.4% of the country’s total GHG emissions in 2020 (MoEFCC, 2024).

Key Projections

  • Electrification-Led Demand: Electricity becomes the dominant energy carrier, with its share rising to 40% (CPS) and 60% (NZS) by 2070.
  • Renewable Capacity Expansion: Installed capacity multiplies 9–14 times by 2070, with renewables supplying 90–93% of capacity, led by solar PV and wind, supported by distributed generation.
  • Storage & Flexibility: A renewables-heavy grid requires massive storage deployment—up to 3,000 GW of batteries and 160 GW of pumped hydro power to ensure system stability.
  • Nuclear as Firm Power: Nuclear capacity expands from 8.8 GW to over 300 GW by 2070, providing firm, low-carbon baseload power, with Small Modular Reactors (SMRs) enhancing flexibility.

Key Recommendations for India’s Power Sector 

  • Generation Sector: Scale solar–wind–storage hybrids, expand nuclear (SMRs), enable flexible coal operations, repurpose old plants, and incentivise energy storage.
  • Transmission & Distribution: Expand Green Energy Corridors, digitise grids, reform DISCOMs, and promote competition through peer to peer trading.
  • Policy & Regulatory Reforms: Deepen power markets, implement cost-reflective tariffs, strengthen renewable mandates, and institutionalise resource adequacy planning.
  • Sustainability & Innovation: Strengthen domestic manufacturing via PLI, enforce recycling and cybersecurity norms, and use AI/ML for forecasting.
  • Project Financing: Mobilise climate finance and green bonds and adopt GDF/PPP models to improve efficiency and investment flow.
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GDF/PPP models

GDF likely refers to Green Development Fund and PPP refers to Public-Private Partnership. These models aim to leverage private sector expertise and capital for public projects, often with a focus on sustainable development and climate goals.

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AI/ML

Artificial Intelligence (AI) and Machine Learning (ML) are related fields where computer systems are designed to perform tasks that typically require human intelligence, such as learning, problem-solving, and decision-making.

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