Carbon emission management of coal power plant from the perspective of production planning in China

IF 4 Q2 ENGINEERING, INDUSTRIAL Journal of Industrial and Production Engineering Pub Date : 2022-08-29 DOI:10.1080/21681015.2022.2116494
Xiaolong Zhang, Yadong Dou, Chuchen Zhang, Liwei Ding, Hongkun Lv
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引用次数: 3

Abstract

ABSTRACT The operation of the national carbon emission trading market has brought new pressure to coal power plants in China. How to control the carbon emissions of the plants and ensure their power generation has become an important issue. This paper proposed a new production profit model based on risk constraint to explore a decision-making method for the plant’s carbon emission and production. A branch-and-cut algorithm is applied in the optimization solver to achieve a large-scale constraint linear programming, where the conditional value-at-risk is evaluated by Monte Carlo simulation. Results from the numerical analyses of the coal plant of 4520 MW capacity show that, the carbon emission according to our method is reduced by 3.94%, while the annual profit is increased by 1.25% and the overall cost is decreased by 1.06%. The proposed approach is helpful for the coal plants to manage their carbon emissions and optimize their power production.
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基于生产计划视角的中国煤电厂碳排放管理
摘要全国碳排放交易市场的运行给中国煤电厂带来了新的压力。如何控制工厂的碳排放并确保其发电已成为一个重要问题。本文提出了一种新的基于风险约束的生产利润模型,以探索工厂碳排放和生产的决策方法。在优化求解器中应用分支和切割算法来实现大规模约束线性规划,其中通过蒙特卡罗模拟来评估风险条件值。对4520MW燃煤电厂的数值分析结果表明,采用该方法,燃煤电厂的碳排放量减少了3.94%,年利润增加了1.25%,总成本降低了1.06%。
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CiteScore
7.50
自引率
6.70%
发文量
21
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