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Modeling Hydrogen Synthesis with Rigorous Kinetics as Part of Plant-Wide Optimization

机译:全过程优化中严格的动力学模拟氢合成

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Hydrogen for industrial use is manufactured primarily by steam reforming hydrocarbons, or is available as a byproduct of refinery or chemical plant operations. Hydrogen demand usually is significantly greater than that available as a byproduct, and many times the plant's ability to supply hydrogen limits overall plant throughput. An operating plant can exploit existing in-place steam reformer and related equipment designs with rigor-ous models that employ kinetics. During plant design kinetics models are not necessarily used because experience and more simple models using "approach to equilibrium", space velocity , maximum heat flux, and other parameters allow designers to build hydrogen plants to supply whatever hydrogen amount, purity, and pressure that is desired. The objective of suppliers of hydrogen plants is to establish an economic feasible design, given these predetermined criteria. Additional hydrogen, or less expensive hydrogen can be manufactured from these facilities, after construction, when rigorous models are used in on-line, closed loop optimization systems. These systems manipulate independent operating conditions (degrees of freedom), maximize or minimize an objective function (usually operating profit), while honoring numerous constraints, such as tube metal temperatures, pressure drops, pressures, damper and valve positions. A good kinetic model is the cornerstone of the predictive capabilities of such on-line optimization systems. An on-line optimization system exploits equipment under operating demands and constraints that were not necessarily anticipated during design.
机译:工业用氢气主要是通过蒸汽重整碳氢化合物生产的,也可以作为炼油厂或化工厂的副产品获得。氢气需求通常明显大于副产品,而工厂的氢气供应能力往往是工厂总产量的许多倍。运营工厂可以利用采用动力学的严格模型来开发现有的就地蒸汽重整器和相关设备。在工厂设计期间,不必使用动力学模型,因为经验和更简单的使用“接近平衡”,空速,最大热通量和其他参数的模型可以使设计者建造氢气工厂,以提供任何氢气量,纯度和压力。想要的。给定这些预定标准,制氢设备供应商的目标是建立经济可行的设计。如果在在线,闭环优化系统中使用严格的模型,则在建造后,可以从这些设施中生产其他氢气或价格较便宜的氢气。这些系统操纵独立的运行条件(自由度),最大化或最小化目标函数(通常为运行利润),同时遵守众多约束条件,例如管子金属温度,压降,压力,阻尼器和阀门位置。良好的动力学模型是此类在线优化系统的预测能力的基石。在线优化系统在设计期间未必会预期的操作要求和约束下利用设备。

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