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Evaluation of energy performance of drinking water treatment plants: Use of energy intensity and energy efficiency metrics

机译:饮用水处理厂的能源绩效评估:能源强度和能效指标的使用

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摘要

One of the United Nations Sustainable Development Goals is to provide access to safe and clean drinking water. However, treating raw water in facilities currently involves using a non-negligible amount of energy, and the fossil fuels used are both expensive and emit greenhouse gases when combusted. Previous studies have evaluated the energy performance of drinking water treatment plants by estimating the amount of energy consumed per volume of water. However, such studies have not accounted for differences between treatment technologies and have assumed a common standard water treatment technology. To overcome these limitations, this study employed metafrontier data envelopment analysis to evaluate and compare the energy performance of four types of treatment technologies. This approach integrates energy intensity with pollutant removal efficiency into a single, synthetic index to deliver an energy-efficiency score. A comparison of the four treatment technologies showed that facilities using rapid-gravity filtration and coagulation-flocculation processes provided the highest energy efficiencies. However, energy intensity and energy efficiency metrics delivered contradictory results, which thus illustrates the importance of including pollutant removal efficiency data in performance assessments. This study provides valuable information for policy-makers when planning and developing new drinking water treatment plants and for water utility managers when identifying energy reduction opportunities in plants.
机译:联合国可持续发展目标之一是提供安全和清洁的饮用水。但是,目前在设施中处理原水涉及使用不可忽略的能源,而且所使用的化石燃料价格昂贵,燃烧时会排放温室气体。以前的研究通过估算每单位水消耗的能量来评估饮用水处理厂的能源性能。但是,此类研究并未考虑处理技术之间的差异,并假定了通用的标准水处理技术。为了克服这些局限性,本研究采用元边界数据包络分析来评估和比较四种处理技术的能量性能。这种方法将能源强度和污染物去除效率整合为一个综合指标,以提供能源效率评分。四种处理技术的比较表明,使用快速重力过滤和混凝-絮凝工艺的设施提供了最高的能源效率。但是,能源强度和能效指标得出的结果相互矛盾,因此说明了将污染物去除效率数据纳入绩效评估的重要性。这项研究为决策者规划和开发新的饮用水处理厂提供了宝贵的信息,为水厂管理者确定工厂的节能机会提供了宝贵的信息。

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