在天然气生产工厂中使用废物减少算法开发可持续过程的流程图监控

R. R. Santana, J. S. Nunes, I. Pergher, L. Silva, R. V. S. Aquino
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引用次数: 0

摘要

本文提出了一种用于调查可促进环境影响的条件的流程图监测研究。该研究依赖于天然气分离过程的计算模拟,使用COCO建模软件和WAR算法的通信。WAR算法是一种用于分析化学过程的潜在环境影响(PEI)并研究该过程的环境相容性的方法。事实证明,WAR算法在获取CCO电流以获得用于工厂建模和仿真的各设备的压力和温度参数时是高效有效的。结果表明,需要进一步优化研究如何降低陆地毒性电位、人体毒性电位和光化学氧化电位的影响,在此过程中产生较高的PEI。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
FLOWCHART MONITORING FOR THE DEVELOPMENT OF SUSTAINABLE PROCESSES USING THE WASTE REDUCTION ALGORITHM IN A NATURAL GAS PRODUCTION PLANT
This paper presents a flowchart monitoring study to be used on investigating conditions that can promote environmental impact. The study relies on a computational simulation of the natural gas separation process, using COCO modeling software and communication of the WAR algorithm. The WAR algorithm is a methodology used to analyze the potential environmental impact (PEI) of a chemical process, and to study the environmental compatibility of this process. The WAR algorithm proved efficient and effective when accessing the CCO currents to obtain pressure and temperature parameters of each equipment used in the modeling and simulation of the plant. The results indicate the need for optimization requiring further research on ways to reduce the impact generated by the terrestrial toxicity potential, the toxicity potential for man, and the photochemical oxidation potential, which presented higher PEI generated in the process.
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