应用耦合模拟优化方法研究双氮膨胀器液化对优化设计中原料气变化的响应

S. Tierling, D. Attaway
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引用次数: 0

摘要

对浮式液化天然气(FLNG)应用的双氮膨胀器液化技术的兴趣主要来自以下几个因素:制冷剂易燃、简单、重量低、不会因运动而导致制冷剂晃动或分布不均匀、启动快、易于调整进料条件。缺点是双氮膨胀器技术的液化效率明显低于FLNG竞争技术。在前端工程设计(FEED)期间,上游气体处理和液化系统的适当选择和尺寸至关重要,以确保系统的占地面积、重量和重心得到适当估计,因为这将影响浮式船体的尺寸、设计和性能。本文将演示如何在一系列进料成分或条件下优化工艺设计,如果在设计期间将一些灵活性纳入液化热交换中。这保留了灵活性作为该技术的关键优势。其目的是减少流程效率低下,并提高与其他技术的竞争力。请注意,市场上有许多不同的氮气膨胀器技术配置。这里使用的配置是通用的,用于演示优化概念。由于有10个自变量和变量之间的耦合,使用简单的手动方法很难执行此优化。因此,我们将采用耦合模拟-优化方法。本文还以双氧膨胀器技术的具体应用为例,阐述了耦合模拟优化在问题中的应用。虽然这种方法适用于液化过程的初始设计,但这里的重点是在设计周期后期和运行过程中对设施进行非设计优化。这种优化方法所提供的好处超越了最初的工艺设计,延伸到设施的运行中。该方法不依赖于特定的工具集,并且存在支持该方法的非学术工具。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Application of Coupled Simulation Optimization Methodology to Study Dual Nitrogen Expander Liquefaction Response to Feed Gas Variations from an Optimized Design
Interest in dual nitrogen expander liquefaction technology for floating liquefied natural gas (FLNG) applications is driven by the following factors: inflammable refrigerantsimplicitylow weightno refrigerant sloshing or maldistribution due to motionquick start-upeasy adjustment for changing feed conditions The downside is that dual nitrogen expander technology offers significantly lower liquefaction efficiency than competing FLNG technologies. The proper selection and sizing of the upstream gas treating and liquefaction system is critical during Front End Engineering Design (FEED) to ensure that the system footprint, weight and center-of-gravity is appropriately estimated as this effects the sizing, design and performance of the floating hull. This paper will demonstrate how the process design can be optimized over a range of feed compositions or conditions if some flexibility is built into the liquefaction heat exchange during design. This preserves flexibility as a key advantage of the technology. The intent is to reduce process inefficiencies and promote competitiveness with other technologies. Note that there are many different nitrogen expander technology configurations available in the market. The configuration used here is generic and used to demonstrate the optimization concept. With 10 independent variables and coupling between the variables, this optimization is difficult to perform using simple manual methods. Therefore we will employ a coupled simulation-optimization method. This paper also provides insight to the application of coupled simulation-optimization to problems, as illustrated by the specific application to a dual titrogen expander technology. Although this method is applicable to the initial design of liquefaction processes, the focus here is on off-design optimization of the facility later in the design cycle and in operation. This optimization methodology is shown to provide benefits beyond the initial process design, extending into the operation of the facility. The methodology does not rely upon a specific tool set and there are non-academic tools that support this approach.
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