随机模型作为决策工具在南非Sasol Secunda基地的绿棕田综合生长计划中

A. V. D. Merwe
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引用次数: 2

摘要

只提供摘要形式。Sasol是煤制燃料领域的全球领导者,该公司正着手实施一项重大增长计划,将新技术和现有技术整合到现有设施中。该项目将增加生产能力,提高能源效率,并使其符合预期的未来环境和燃料规范。该方案将影响整个生产现场,是一个非常复杂的性质。本报告讨论了通过离散事件模拟模型来确定基础设施和产能限制的例子,其中对综合炼油厂和丙烯价值链运营的影响进行了测试。考虑到单位之间和跨价值链的相互作用。该报告进一步讨论了决策制定工具的使用,以确定当前运行单元的消除瓶颈选项的可能技术的优势和关注点。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Stochastic modelling as a decision making tool in an integrated green-brown fields growth program at the Sasol Secunda site, South Africa
Summary form only given. Sasol, the world leader in coal to fuels, is embarking on a major growth program integrating new and existing technologies into its current facilities. This program will increase production capacity, improve energy efficiency, and enable compliance to expected future environmental and fuel specifications. The program will affect the entire production site and is of a very complex nature. This presentation discusses examples where the impact on the integrated refinery and propylene value chain operations are tested by means of a discrete-event simulation model to determine infrastructure and capacity constraints. Interactions between units and across value chains are taken into consideration. The presentation further discusses the use of the decision making tool for determining advantages and concerns of possible technologies for debottlenecking options for the current operating units.
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