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首页> 外文期刊>Journal of natural gas science and engineering >Simulation and optimization of natural gas processing and production network consisting of LNG, GTL, and methanol facilities
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Simulation and optimization of natural gas processing and production network consisting of LNG, GTL, and methanol facilities

机译：由LNG，GTL和甲醇设施组成的天然气加工和生产网络的仿真和优化

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A considerable growth is expected for the natural gas sector and some believe that it will be the leading primary fuel between 2020 and 2030. Different options are available to utilize the natural gas resource. Three processes namely, LNG, GTL, and methanol considered as the most promising utilization options are addressed in this paper to represent a natural gas processing and production network. The objective of this work is to illustrate the importance of incorporating rigorous simulation models in the decision-making process in the gas processing industry. A steady state simulation is carried out for LNG, GTL, and methanol processed to determine mass and energy balances, operating conditions, and equipment specification. The simulations' flowsheet is beneficial in many aspects. For example, accurate yield values can be obtained. Also, both the capital and operating costs can be estimated. Moreover, the environmental impact can be assessed quantitatively. Then, an optimization model is presented that is able to represent the processing and production network over a wide range of forecasted economic changes. The main feature of this work is the usage of an integrated simulation-optimization framework. Although the modeling, simulation and optimization of a single natural gas system have been addressed previously, the simulation and optimization of enterprise-wide natural gas processing has not been addressed to this extent in the literature. Furthermore, besides considering more than one utilization process, namely LNG, GTL, and methanol, this work addresses the preprocessing units of these utilization processes in a comprehensive manner. The results of the optimization are improved by utilizing data from process simulation. Such data are used to tune the optimization model. An illustrative case study is used to show the applicability of formulated optimization model on natural gas processing and production network and show how accurate representations of the plants are obtained from process simulation. The end result is a more highly optimized and sustainable processing and production network. (C) 2015 Elsevier B.V. All rights reserved.
机译：预计天然气行业将有可观的增长，并且有人认为它将在2020年至2030年之间成为主要的主要燃料。有多种选择可利用天然气资源。本文讨论了LNG，GTL和甲醇这三种工艺，它们被认为是最有前途的利用选择，它们代表了天然气加工和生产网络。这项工作的目的是说明在气体处理行业的决策过程中纳入严格的仿真模型的重要性。对处理过的LNG，GTL和甲醇进行稳态仿真，以确定质量和能量平衡，运行条件​​和设备规格。模拟的流程图在许多方面都是有益的。例如，可以获得准确的屈服值。同样，可以估算资本成本和运营成本。而且，可以定量评估环境影响。然后，提出了一个优化模型，该模型能够表示各种预测的经济变化中的加工和生产网络。这项工作的主要特点是使用集成的仿真优化框架。尽管以前已经解决了单个天然气系统的建模，模拟和优化问题，但是在文献中并没有针对企业范围的天然气处理进行模拟和优化。此外，除了考虑一个以上的利用过程，即LNG，GTL和甲醇外，这项工作还全面地探讨了这些利用过程的预处理单元。通过利用过程仿真中的数据可以改善优化结果。此类数据用于调整优化模型。通过示例性案例研究来说明制定的优化模型在天然气加工和生产网络中的适用性，并说明如何从过程仿真中获得工厂的精确表示。最终结果是建立了高度优化和可持续发展的加工与生产网络。 （C）2015 Elsevier B.V.保留所有权利。

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