Various modeling studies analyzing global 2 °C climate stabilization scenarios have projected penetration of CO₂ capture and storage (CCS) technologies in India alongside a sizable penetration of renewable energy technologies. The assessments of geological storage potential over India have shown wide variation across regions. This paper examines the locations of large point sources of CO₂ emissions in India and matches it with carbon storage locations to minimize the cost of CCS evolving grid. The concept of weighted Euclidean distance and Integrated Environmental Control Model are used to propose suitable pipeline networks for emissions-intensive clusters to optimize the cost of CO₂ avoidance. The computational method estimates proximate storage location for each CO₂ emitting source taking into account the total storage potential at each location. CCS requirement in India would vary depending on the global climate stabilization target. We examine two targets for India that correspond to 2 °C and well below 2 °C global mitigation regimes. According to our estimates, India could mitigate around 780 Mt CO₂ per year below 60 $/t-CO₂ (2005 prices) over 30 years, and another 250 Mt CO₂ per year for up to 75 $/t-CO₂ prices through CCS under these scenarios respectively.

分析全球2°C气候稳定情景的各种建模研究预测，印度的CO ₂捕集与封存（CCS）技术将得到普及，而可再生能源技术也将获得相当大的普及。对印度各地地质储藏潜力的评估显示，不同地区之间存在很大差异。本文研究了印度大量CO ₂排放源的位置，并将其与碳储存位置进行匹配，以最大程度地降低CCS演进电网的成本。加权欧氏距离的概念和集成环境控制模型用于为排放密集型集群建议合适的管道网络，以优化CO ₂的成本回避。该计算方法考虑到每个位置处的总存储潜力来估计每个CO ₂排放源的最接近存储位置。印度对CCS的要求会根据全球气候稳定目标而有所不同。我们研究了印度的两个目标，分别对应于2°C和远低于2°C的全球缓解机制。根据我们的估计，在30年内，印度可以在每年60美元/吨CO _2以下（2005年价格）减少约780 Mt CO ₂，而在每年75美元/吨CO ₂价格下每年可以减少250 Mt CO _2。在这些情况下分别通过CCS。