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Application of Coupled Simulation Optimization Methodology to Study Dual Nitrogen Expander Liquefaction Response to Feed Gas Variations from an Optimized Design

机译:耦合模拟优化方法学在优化设计中研究双氮膨胀机液化对原料气变化的响应

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Interest in dual nitrogen expander liquefaction technology for floating liquefied natural gas (FLNG) applications is driven by the following factors: 1. inflammable refrigerant 2. simplicity 3. low weight 4. no refrigerant sloshing or maldistribution due to motion 5. quick start-up 6. easy 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.
机译:对浮动液化天然气(FLNG)应用的双氮膨胀机液化技术的兴趣由以下因素驱动:1。易燃制冷剂2.简单性3.低重量4.由于运动5,没有制冷剂晃动或恶性分布。快速启动6.易于调整改变饲料条件下行的是双氮化扩展器技术提供明显较低的液化效率,而不是竞争流行技术。上游气体处理和液化系统的适当选择和尺寸是前端工程设计(FEED)在关键,以确保系统尺寸,重量和中心重力的-适当地估计,因为这影响的大小,设计和性能浮船体。本文将展示如何在一系列饲料组合物或条件下优化过程设计,如果在设计期间液化热交换中建立了一些柔韧性。这使得灵活性作为技术的关键优势。意图是减少过程低效率,促进与其他技术的竞争力。请注意,市场上有许多不同的氮气扩展器技术配置。这里使用的配置是通用的,用于演示优化概念。通过10个独立变量和变量之间的耦合,使用简单的手动方法难以执行此优化。因此,我们将采用耦合仿真优化方法。本文还提供了对耦合模拟优化应用于问题的见解,如特定应用到双钛膨胀机技术的情况所示。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和操作中稍后的设施的偏移优化。该优化方法显示出提供超出初始过程设计的益处,延伸到设施的操作。该方法不依赖于特定的工具集,并且存在支持这种方法的非学术工具。

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