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Optimal integration of gaseous emissions from new industrial plants with the surroundings

机译:新型工业工厂的气体排放与周围环境的最佳整合

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摘要

This paper presents a mathematical programming model for the optimal location of new industrial plants considering simultaneously the integration of the gaseous emissions and the environmental constrains for the surroundings by synthesizing recycle and reuse networks. The model considers different options to locate the new plant and to integrate it with the neighboring urban areas that may be affected by the installation of the new plant because of the gaseous emissions. Air quality conditions and targets for each city (e.g., wind direction, speed to calculate the dispersion parameters, regulations, etc.) are considered. The objective function minimizes the total annual cost needed for the installation of the new plant, the treatment of gaseous streams, and the fresh sources required by the process units. Three examples for the installation of new plants in Mexico are considered to show the applicability of the proposed model. The results show that the proposed model is capable of identifying the optimal integration inside and outside the plant for the gaseous streams. The model also identifies the governmental incentives required to install the new plant in a specific location. These incentives are based on economic aspects as well as social benefits characterized by the generation of jobs. In addition, the proposed model is useful to identify the set of Pareto solutions that trade off the economic and the environmental objectives.
机译:本文提出了一种数学规划模型,该模型通过综合回收和再利用网络,同时考虑了气体排放的整合和周围环境的环境限制,为新型工业工厂的最佳位置提供了模型。该模型考虑了不同的选择来定位新工厂,并将其与可能由于气体排放而受到新工厂安装影响的邻近城市地区整合。考虑每个城市的空气质量状况和目标(例如,风向,计算散布参数的速度,法规等)。目标函数将安装新工厂,处理气流和处理单元所需的新鲜源所需的年度总成本降至最低。考虑了在墨西哥安装新工厂的三个示例,以证明所建议模型的适用性。结果表明,所提出的模型能够为气流确定设备内部和外部的最佳集成。该模型还确定了在特定位置安装新工厂所需的政府激励措施。这些激励措施基于经济方面以及以创造就业机会为特征的社会利益。此外,所提出的模型对于确定权衡经济和环境目标的帕累托解决方案集很有用。

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