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A SYSTEM-LEVEL GENERIC MODEL OF WATER USE AT POWER PLANTS AND ITS APPLICATION TO REGIONAL WATER USE ESTIMATION

机译:发电厂用水用水量的系统级通用模型及其在区域用水估算中的应用

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The withdrawal and consumption of water at electricity generation plants, mainly for cooling purposes, is a significant component of the energy water nexus in the US. The existing field data on US power plant water use, however, is of limited granularity and poor quality, hampering efforts to track industry trends and project future scenarios. Furthermore, there is a need for a common quantitative framework on which to evaluate the potential of the many technologies that have been proposed to reduce water use at power plants. To address these deficiencies, we have created a system-level generic model (S-GEM) of water use at power plants that applies to fossil, nuclear, geothermal and solar thermal plants, using either steam or combined cycles. The S-GEM is a computationally inexpensive analytical model that approximately reflects the physics of the key processes involved and requires a small number of input parameters; the outputs are water withdrawal and consumption intensity in liters per kilowatt-hour. Data from multiple sources are combined to characterize value distributions of S-GEM input parameters across the US, resulting in refined estimates of water use with quantified uncertainties. These estimates are then validated against typical values from the literature and against an existing field data set. By adjusting S-GEM input values or value distributions, any number of hypothetical scenarios can be rapidly evaluated. As an example, we focus here on technology evaluation, expressing proposed technological improvements in terms of S-GEM input parameters, then comparing their projected effects on overall water withdrawal and consumption intensities.
机译:电力发电厂的水撤离和消耗,主要用于冷却目的,是美国能源水Nexus的重要组成部分。然而,关于美国电厂用水的现有现场数据是有限的粒度和质量差,妨碍跟踪行业趋势和项目未来情景的努力。此外,需要一种公共定量框架,用于评估已经提出的许多技术的潜力,以减少发电厂的用水。为了解决这些缺陷,我们已经在使用蒸汽或组合循环时创建了在供应到化石,核,地热和太阳能热植物的发电厂的系统级通用模型(S-GEM)。 S-GEM是一种计算廉价的分析模型,大致反映所涉及的关键过程的物理,并且需要少量的输入参数;产出是每千瓦时升的升水和消费强度。来自多个来源的数据组合以表征美国的S-GEM输入参数的值分布,导致对具有量化不确定性的水性使用的精细估计。然后,这些估计验证了来自文献的典型值和对现有的现场数据集。通过调整S-GEM输入值或值分布,可以快速评估任意数量的假设方案。作为一个例子,我们在这里专注于技术评估,表达了在S-GEM输入参数方面表达的技术改进,然后比较了它们对整体排水和消费强度的预计影响。

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