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首页> 外文期刊>Computers & Chemical Engineering >Determination of the optimal operating conditions of the dual mixed refrigerant cycle for the LNG FPSO topside liquefaction process
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Determination of the optimal operating conditions of the dual mixed refrigerant cycle for the LNG FPSO topside liquefaction process

机译:确定LNG FPSO顶部液化工艺的双混合制冷剂循环的最佳运行条件

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摘要

With the increased demand for natural gas, there has been an increase in the research on and development of liquefied-natural-gas floating, production, storage, and offloading unit (LNG FPSO) technologies for LNG service in place of onshore LNG plants. The dual mixed refrigerant (DMR) cycle, which precools natural gas with the mixed refrigerants of ethane, propane, butane, and methane and then liquefies the natural gas with another set of mixed refrigerants (nitrogen, methane, ethane, and propane), is well known for having the highest efficiency among the liquefaction cycles, and is being examined for possible application to LNG FPSO. In this study, the optimal operating conditions for the DMR cycle are determined by considering the power efficiency. For this, a mathematical model of the DMR cycle was formulated in this study by referring to the results of a past study that formulated a mathematical model of the single mixed refrigerant (SMR) cycle. Finally, the optimal operating conditions from the formulated mathematical model were obtained using a hybrid optimization method that consists of the genetic algorithm (GA) and sequential quadratic programming (SQP). As a result, the required power at the determined optimal operating conditions was decreased by 34.5% compared with the patent (Roberts & Agrawal, 2001), and by 1.2% compared with the corresponding value from the past relevant study (Venkatarathnam, 2008).
机译:随着对天然气需求的增加,代替陆上LNG工厂的液化天然气上浮,生产,储存和卸载装置(LNG FPSO)技术的研究和开发也在增加。双混合制冷剂(DMR)循环是将天然气与乙烷,丙烷,丁烷和甲烷的混合制冷剂预冷,然后与另一组混合制冷剂(氮,甲烷,乙烷和丙烷)液化天然气。在液化循环中效率最高而广为人知,目前正在研究将其应用于LNG FPSO的可能性。在这项研究中,通过考虑功率效率来确定DMR周期的最佳工作条件。为此,本研究通过参考过去的研究结果来建立DMR循环的数学模型,该研究为单个混合制冷剂(SMR)循环建立了数学模型。最后,使用由遗传算法(GA)和顺序二次规划(SQP)组成的混合优化方法,从制定的数学模型中获得最佳运行条件。结果,在确定的最佳运行条件下,所需功率与专利相比降低了34.5%(罗伯茨和阿格劳瓦尔,2001年),与以往相关研究的相应值相比降低了1.2%(Venkatarathnam,2008年)。

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