Resources optimization using Pareto analysis for sea water desalination plants

Nicolau Chirinza , Paulino Muguirrima , Federico A. Leon Zerpa , Alejandro Ramos Martin , Carlos A. Mendieta Pino
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Abstract

This study examines the potential of implementing a systematic approach to piloting desalination plants, with the objective of evaluating energy improvements in water desalination processes. The introduction of new reverse osmosis membranes is imperative at the small-scale level. The findings can be extrapolated to inform the operation of large-scale desalination plants. The objective of this approach is to achieve the optimal water quality standard at the lowest possible cost. In this manner, pilot tests are being conducted prior to the determination of whether to alter the reverse osmosis membranes, as this represents a substantial investment. The objective of these tests is to minimise the risk of making an erroneous decision and to ensure optimal results in terms of energy consumption, operating costs and reduction of environmental impact, while complying with the requisite water quality standards. In this instance, the Pareto analysis is utilised to ascertain the two or three most significant causes whose treatment affects more than 80 % of the potential energy savings to be implemented. This article introduces a novel approach to studying a total of 180 desalination plants at the territorial level in the Canaries.
利用帕累托分析法对海水淡化厂进行资源优化
本研究探讨了采用系统方法试运行海水淡化厂的可能性,目的是评估海水淡化过程中的能源改进情况。新型反渗透膜的引入在小规模层面上势在必行。研究结果可用于大型海水淡化厂的运营。这种方法的目标是以尽可能低的成本达到最佳水质标准。因此,在确定是否改变反渗透膜之前,先进行试验性测试,因为这意味着大量投资。这些试验的目的是最大限度地降低做出错误决定的风险,并确保在能耗、运行成本和减少环境影响方面取得最佳结果,同时符合必要的水质标准。在这种情况下,可以利用帕累托分析法来确定两到三个最重要的原因,这些原因的处理会影响到 80% 以上的潜在节能效果。本文介绍了一种新颖的方法,用于研究加那利群岛地区的总共 180 家海水淡化厂。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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