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Strategic planning optimization for natural gas to liquid transportation fuel (GTL) systems

机译:天然气到液体运输燃料(GTL)系统的战略规划优化

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摘要

A strategic planning optimization model is proposed for a network of natural gas to liquids (GTL) systems, and it is solved using a rolling horizon strategy. The model formulation determines the strategic and tactical decisions of the GTL supply chain over a long time horizon. The decisions to build new GTL refineries may be made over the span of 30 years and their operations cover the span of 60 years. Multiple capacities of GTL refineries (i.e., 1, 5, 10, 50, and 200 thousand barrels per day) that produce gasoline, diesel, and kerosene commensurate to the United States demand ratio may exist in the network. The parameter inputs include the locations, availabilities, and prices of natural gas in the United States discretized by county, the delivery locations of fuel products, and the transportation costs of every input and output of the refinery, defined for each time period. Formulated as a large-scale mixed-integer linear optimization (MILP) model, the problem is solved using a rolling horizon strategy for tractability. Case studies on the state of Pennsylvania are presented for different planning schemes and their Impact on the economic performance of the GTL network is discussed.
机译:提出了天然气到液体(GTL)系统网络的战略规划优化模型,并使用滚动策略对其进行了求解。模型制定确定了GTL供应链在很长一段时间内的战略和战术决策。建立新的GTL精炼厂的决定可能要在30年的时间里完成,其运营期将达到60年。该网络中可能存在多个GTL精炼厂(即每天生产1、5、10、50和20万桶)以生产与美国需求比率相称的汽油,柴油和煤油。参数输入包括在美国按县离散的天然气的位置,可用性和价格,燃料产品的交付位置以及精炼厂的每个输入和输出的运输成本(针对每个时间段定义)。公式化为大规模混合整数线性优化(MILP)模型,使用滚动视野策略解决了该问题。介绍了宾夕法尼亚州针对不同规划方案的案例研究,并讨论了它们对GTL网络的经济绩效的影响。

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