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Low-carbon electricity generation-based dynamic equilibrium strategy for carbon dioxide emissions reduction in the coal-fired power enterprise

机译:基于低碳发电的动态均衡战略,用于燃煤电力企业减少二氧化碳排放量

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摘要

Climate change is already resulting in extreme devastation in the earth, with carbon dioxide emissions produced by coal-fired power plants being the largest contributor. Therefore, integrated coal purchasing, blending, and distribution strategies are playing a more important role in large-scale coal-fired power enterprises due to the need to reduce carbon dioxide emissions and operational costs. In this study, a dynamic equilibrium strategy for integrated coal purchasing, blending, and distribution under an uncertain environment is proposed to reduce carbon dioxide emissions in large-scale coal-fired powered enterprises; the practicality and efficiency of which are verified using a real-world case. Sensitivity analyses under different carbon dioxide emissions levels and satisfactory degrees were also conducted to give insights into the conflict between economic development and environmental protection for large-scale coal-fired power enterprises, and balance short-term and long-term production plans. The results indicated that the proposed method was able to achieve economic-environmental coordination and sustainable development. Compared to previous studies, the developed model was found to be able to reduce carbon emissions by about 30% compared with the maximum carbon emissions and improve carbon emissions reduction performance to assist in mitigating climate change.
机译:气候变化已经导致地球产生极大的破坏,通过燃煤发电厂生产的二氧化碳排放是最大的贡献者。因此,由于需要降低二氧化碳排放和运营成本,综合煤炭采购,混合和分销策略在大型燃煤电力企业中发挥了更重要的作用。在这项研究中,提出了一种在不确定环境下进行综合煤炭采购,混合和分布的动态均衡策略,以减少大型燃煤能源企业的二氧化碳排放;使用真实案例验证的实用性和效率。还进行了不同二氧化碳排放水平和令人满意的程度的敏感性分析,以了解经济发展与环境保护对大型燃煤电力企业之间的冲突,以及余额短期和长期生产计划的洞察力。结果表明,该方法能够实现经济环境协调和可持续发展。与之前的研究相比,与最大碳排放相比,发现开发的模型能够将碳排放量减少约30%,并改善碳排放减少性能,以协助减轻气候变化。

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