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首页> 外文期刊>Desalination: The International Journal on the Science and Technology of Desalting and Water Purification >Correlations for estimating the specific capital cost of multi-effect distillation plants considering the main design trends and operating conditions
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Correlations for estimating the specific capital cost of multi-effect distillation plants considering the main design trends and operating conditions

机译:考虑主要设计趋势和运行条件的多效蒸馏工厂特定资本成本的相关性

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摘要

This work proposes a correlation for the specific capital cost of multi-effect distillation (MED) plants, considering their main design options and parameters, such as the number of effects, size/capacity, and heat source temperature. These parameters are varied within a large range to cover as many different cases as possible. The cost correlation decouples the evaporator cost and includes in the expression the ratio of the heat exchanger area to a reference one. This area is calculated using a validated MED numerical model, with the results then processed to produce fitted expressions. Two versions of this correlation with different levels of complexity are proposed, which provide similar results. The results of the improved correlation have been compared with the actual specific cost of a limited number of MED plants for validation purposes. It has been shown that this correlation provides more accurate results in most of the cases, although the sample is small due to limited availability of data from other plants. The specific capital cost of typical MED plants is then examined, presenting the cost when the number of effects and heat source temperature change. These calculations capture the expected trend of the plant cost under different main design options.
机译:这项工作提出了对多效蒸馏(MED)植物的具体资本成本的相关性,考虑到它们的主要设计选择和参数,例如效果,尺寸/容量和热源温度。这些参数在大范围内变化,以覆盖尽可能多的不同情况。成本相关性与蒸发器成本脱充,并且包括将热交换器区域与参考的比率的表达式。使用验证的MED数值模型计算该区域,结果随后处理以产生拟合的表达。提出了两个与不同程度的复杂程度相关的两个版本,其提供了类似的结果。已经将改善相关性的结果与有限数量的MED植物进行验证目的的实际特定成本进行了比较。已经表明,这种相关性在大多数情况下提供了更准确的结果,尽管样本很小,由于来自其他植物的数据的可用性有限。然后检查典型的MED植物的具体资本成本,提出了效果次数和热源温度变化的成本。这些计算捕获了不同主要设计选项下植物成本的预期趋势。

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