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首页> 外文期刊>International Journal of Environment and Pollution >A mixed-integer non-linear programming model for CO2 emission reduction in the power generation sector
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A mixed-integer non-linear programming model for CO2 emission reduction in the power generation sector

机译:混合整数非线性规划模型,用于发电领域的二氧化碳减排

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Electricity generation is considered to be one of the main contributing sources to the air pollution problem. It is, therefore, important to develop and implement effective control strategies to prevent the expected abrupt increase in emissions from this sector. Any control strategy must be suitable for local implementation and must also be economically viable. The main objective of this paper is to present optimisation models that can be used to determine the most cost effective strategy or combination of strategies to reduce CO2 emissions to a specific level. Optimisation results for an existing network of power plants show that it may be possible to reduce CO2 emissions by increasing power plant efficiency through a variety of adjustments in the plants. These include fuel balancing, fuel switching, and the implementation of improvement technologies to existing power plants to increase their thermal efficiency.
机译:发电被认为是造成空气污染问题的主要因素之一。因此,重要的是要制定和实施有效的控制策略,以防止该部门的排放突然增加。任何控制策略都必须适合当地实施,并且在经济上也必须可行。本文的主要目的是提供可用于确定最具成本效益的策略或将CO2排放降低到特定水平的策略组合的优化模型。现有电厂网络的优化结果表明,通过对电厂进行各种调整来提高电厂效率,可以减少二氧化碳的排放。其中包括燃料平衡,燃料转换,以及对现有电厂实施改进技术以提高其热效率。

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