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Affordable low-carbon electricity pathways for India under uncertainty

不確実性下でのインドの低炭素電力経路の実現可能性 (AI 翻訳)

Guillermo Terrén-Serrano, Ranjit Deshmukh, Srihari Dukkipati, Measrainsey Meng, Shradhey Prasad, Ana Mileva, Ashwin Gambhir

arXiv (Cornell University)プレプリント2026-07-12#エネルギー転換対象セクター: power
DOI: 10.48550/arxiv.2607.10581
原典: https://doi.org/10.48550/arxiv.2607.10581

🤖 gxceed AI 要約

日本語

インドの2070年カーボンニュートラル目標達成に向け、電力システムの脱炭素化経路を技術コストや需要の不確実性を考慮して分析。太陽光発電が大半を占め、短時間蓄電池が需給調整に貢献。需要応答プログラムがコストを最大10%削減し、再生可能エネルギーと蓄電池のコスト低下により、電力の安定供給と気候目標の両立が可能と示す。

English

This study develops cost-optimal pathways for India's electricity decarbonization under uncertainty, showing that solar PV and battery storage dominate, and demand response programs reduce costs by up to 10%. Falling renewables and storage costs enable India to meet both affordability and climate goals.

Unofficial AI-generated summary based on the public title and abstract. Not an official translation.

📝 gxceed 編集解説 — Why this matters

日本のGX文脈において

日本のGX文脈では、変動性再生可能エネルギー大量導入時の系統安定化策として蓄電池や需要応答の有効性が示されており、日本が参考にすべき知見を含む。特に、コスト低減と脱炭素の両立可能性は、日本のエネルギー政策にも示唆を与える。

In the global GX context

This paper provides a robust modeling framework for India's energy transition, highlighting the critical role of battery storage and demand response. Its findings are globally relevant as major economies face similar challenges in integrating high shares of renewables while maintaining affordability and reliability.

👥 読者別の含意

🔬研究者:A detailed, scenario-based analysis of India's electricity system transition under uncertainty, valuable for energy modeling and policy analysis.

🏢実務担当者:Demonstrates the cost-effectiveness of demand response and battery storage in decarbonizing power grids, offering actionable insights for utility planners.

🏛政策担当者:Quantifies the feasibility of India's 2070 carbon neutrality goal and shows that ambitious clean energy targets do not necessarily increase system costs.

📄 Abstract(原文)

To meet its carbon neutrality goal by 2070, India must accelerate the decarbonization of its electricity system. However, uncertainty in technology costs and electricity demand, together with the need to balance high shares of solar and wind generation, makes planning India's electricity transition challenging. Here, we develop and examine cost-optimal pathways for generation, storage, and transmission expansion in India under alternative technology costs, electricity demand projections, and clean energy and carbon-emission targets. Across all scenarios, real average system costs remain lower in all future years (2030-2050) than in 2020, even when carbon emissions decline linearly to 90% below current levels by 2050. Solar PV comprises over half to three-quarters of total installed capacity in most scenarios. Large-scale deployment of short-duration battery storage provides both energy balancing and reliability during net-peak demand hours. Expanding green hydrogen, pumped hydro storage, and nuclear capacity reduces costs by less than 2%, whereas demand response programs reduce costs by up to 10%. Falling renewable energy and battery storage costs along with demand response programs allow India to meet both electricity affordability and climate goals.

🔗 Provenance — このレコードを発見したソース

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