Routing India towards Net Zero: Optimal Planning of the CCS Infrastructure
インドをネットゼロへ導く：CCSインフラの最適計画 (AI 翻訳)
Adrien Nicolle, Stéphanie Monjon, Olivier Massol
🤖 gxceed AI 要約
日本語
本論文は、インドにおける炭素回収・貯留（CCS）インフラの最適計画のための費用最小化モデルを提案する。石炭火力発電所からの排出削減を目的とし、パイプラインルーティングや貯留投資を含むMILPモデルを構築。結果、最適なCO2パイプラインネットワークは地域集中型であり、東部の「背骨」ルートが重要であることを示した。
English
This paper proposes a cost-minimizing MILP model for optimal CCS infrastructure deployment in India. Focusing on coal-fired power plants, it incorporates pipeline routing and storage investments. Results show that the optimal CO2 pipeline network is locally concentrated around storage basins, with an eastern transportation backbone in all scenarios.
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
インドのCCSインフラ計画は、日本のGX政策（例えば、CCS長期ロードマップや東アジアCCSネットワーク構想）と比較・参照する上で貴重な知見を提供する。日本のCCS戦略策定において、地域集中型ネットワークの重要性やコスト分析の参考となる。
In the global GX context
This paper provides a rigorous optimization framework for CCS infrastructure, directly relevant to global CCS deployment discussions. The findings on regional pipeline networks and cost drivers offer insights for countries like Japan that are evaluating large-scale CCS as part of their net-zero strategies.
👥 読者別の含意
🔬研究者:A detailed MILP model for CCS infrastructure optimization that can be adapted to other regions or integrated with energy system models.
🏢実務担当者:Practical insights on pipeline routing and storage basin prioritization for companies involved in CCS project development.
🏛政策担当者:Evidence to inform national CCS infrastructure planning, including the importance of regional clustering and backbone pipelines.
📄 Abstract（原文）
Abstract Given its size, growing population, and emerging economy, India’s energy choices are critically important for mitigating global climate change. The country’s increasing energy consumption, heavily reliant on coal, raises concerns about its ability to achieve its net zero target by 2070. Carbon Capture and Storage (CCS) technologies offer a potential solution to reduce emissions from coal-fired power plants. However, the size, cost, and feasibility of CCS deployment in India remain largely unexplored. This paper addresses this gap by introducing a cost-minimizing Mixed Integer Linear Program (MILP) model for CCS deployment in India. The model incorporates detailed carbon capture investment, pipeline routing, and onshore and offshore storage investments. To examine the implications of CCS adoption, we analyze four scenarios that reflect alternative policy mandates, storage restrictions, and capture targets. Our results reveal several important findings. First, India’s optimal CO 2 pipeline network is characterized by local infrastructures concentrated around storage basins rather than forming a nationally integrated network. Second, a significant portion of emissions is transported along an eastern transportation ’backbone’ in all modeled scenarios.
🔗 Provenance — このレコードを発見したソース
- crossref https://doi.org/10.1007/s10666-026-10129-2first seen 2026-05-29 06:16:36 · last seen 2026-06-03 05:53:44
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