The climatic risk consists of financial and environmental risks, predominantly evolutes from carbon dioxide emissions from coal-fired power plants. We develop a climatic risk control model to investigate the coexistence of renewable energy and the post-combustion carbon capture technology as CO₂ reduction strategies. Additionally, our proposed framework explicitly considers the acceptance of such strategies based on a balance of electricity supply according to demand. This paper adopts an additive fuzzy mixed-integer optimization approach to model uncertain parameters and determines the optimal solution focusing on business and the environment. Furthermore, we investigate the feasibility of such emission control strategies with scenario analysis that help to execute the country's emission reduction policies. The usefulness of our methodology is demonstrated using data from the coal-based power sector in the Eastern part of India. Overall, with the proposed model, we can achieve 30% reduction in emission release, which provides strategies to the decision-maker for investment towards sustainable development.

中文翻译：

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开发燃煤电厂排放风险控制模型，以研究可持续业务发展的二氧化碳减排战略

气候风险包括金融和环境风险，主要来自燃煤电厂的二氧化碳排放。我们开发了一个气候风险控制模型来研究可再生能源与燃烧后碳捕获技术如 CO _2的共存减少策略。此外，我们提出的框架明确考虑了根据需求平衡电力供应来接受此类策略。本文采用加性模糊混合整数优化方法对不确定参数进行建模，并确定以业务和环境为重点的最优解。此外，我们通过有助于执行国家减排政策的情景分析来调查此类排放控制策略的可行性。我们的方法的实用性通过印度东部煤炭电力行业的数据得到证明。总的来说，使用所提出的模型，我们可以实现 30% 的排放减少，这为决策者提供了可持续发展投资策略。