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Economic and environmental optimization for a biogas supply Chain: A CVaR approach applied to uncertainty of biomass and biogas demand

机译:沼气供应链的经济环境优化:一种应用于生物量和沼气需求不确定性的CVAR方法

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摘要

This paper explores the impact of biomass availability and biogas demand on the economic and environmental performance of a biogas supply chain. A mixed-integer nonlinear programming model is proposed in a multi-objective form, then the problem is reformulated as a single objective problem with a multi-scenario strategy solution and a CVaR approach. The uncertainty associated with biomass availability and biogas demand is obtained from historical data of the central-western region of Mexico. Two case studies are presented to show the applicability of the proposed mathematical model to minimize the criteria gap in economic and environmental functions and to obtain cumulative probability graphs. The results showed that it is possible to minimize the gap between the objective functions, aiding the decisionmaking process. The average annual profit is at least 1,740,600 € with annual emissions of 292,440 tons of CO_2.
机译:本文探讨了生物量可用性和沼气对沼气供应链的经济和环境绩效的影响。以多目标形式提出混合整数非线性编程模型,然后将问题重新重新重新重新重新重新重新重新重新装订,以多种场景策略解决方案和CVAR方法。与生物量可用性和沼气需求相关的不确定性是从墨西哥中西部地区的历史数据获得的。提出了两种案例研究以表明所提出的数学模型的适用性最小化经济和环境函数中的标准差距,并获得累积概率图。结果表明,可以最大限度地减少目标函数之间的间隙,帮助决策过程。年平均利润至少为1,740,600欧元,每年排放量为292,440吨CO_2。

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