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Synthesis of the optimal heat and water recovery system for reduction of the refinery CO2 emission

机译:合成最佳热和水回收系统以减少炼油厂的CO2排放

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Petroleum refinery is one of the major CO2 emitters in the global industrial sector. The refinery has a number of various CO2 emission points including the utility plants and furnaces. Also, it consumes a large amount of industrial water as feedstock for utility. In particular, for those located in the Middle East area which is arid, the supply of the water resource turns out to be a serious problem, so it is highly demanded to utilize the water resource more efficiently. To overcome these challenges, the heat and water recovery (HWR) system applied to the steam plant of the petroleum refinery is proposed. The system allows recovering heat energy of hot flue gas streams to heat the condensate water through heat exchangers. Moreover, the flue gas streams are further cooled below the water dew point to recover water. The goal of this study is to formulate and solve an optimization problem for the heat exchanger network (HEN) synthesis of the system. The potential to CO2 reduction and cost saving are obtained with the optimal HEN configuration. In addition, sensitivity analysis is conducted by perturbing several economic parameters that affect the optimization results.
机译:炼油厂是全球工业领域主要的CO 2 排放者之一。精炼厂有许多不同的CO 2 排放点,包括公用设施和熔炉。而且,它消耗大量的工业用水作为用于实用的原料。特别地,对于位于干旱地区的中东地区的那些人来说,水资源的供应已成为严重的问题,因此强烈要求更有效地利用水资源。为了克服这些挑战,提出了应用于石油精炼厂的蒸汽和水的热回收(HWR)系统。该系统允许回收热烟道气流的热能,以通过热交换器加热冷凝水。此外,烟道气流被进一步冷却至低于露点以回收水。这项研究的目的是为系统的热交换器网络(HEN)综合制定和解决一个优化问题。最佳的HEN配置可获得减少CO 2 和节省成本的潜力。另外,通过扰动影响优化结果的几个经济参数来进行灵敏度分析。

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