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Energy Efficiency Drivers in Wastewater Treatment Plants: A Double Bootstrap DEA Analysis

机译:污水处理厂的能源效率驱动因素:双引导DEA分析

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The relevance of wastewater treatment service has increased in recent years, since it has a significant impact on the natural environment. A treatment plant facilitates energy generation, the recovery of products from waste, and the reuse of wastewater for industrial and irrigation purposes. An indirect environmental effect is the high energy consumption for pumping water and for tank aeration. The objective of this research is to develop a tool for measuring the energy costs of wastewater treatment plants and identifying how they can be reduced. The method adopted is double-bootstrap data envelopment analysis. The results show that the variables with a significant influence on efficiency are the chemical oxygen demand concentration; plant capacity; rate of used capacity, which positively affects efficiency; weight of industrial customers, which exerts a negative impact; and aeration system, with a negative impact for turbines. This paper suggests the adoption of an effective control tool to monitor the costs drivers and energy expenditure of water utilities.
机译:近年来,废水处理服务的重要性不断提高,因为它对自然环境产生了重大影响。污水处理厂可促进能源的产生,从废物中回收产品以及将废水回用于工业和灌溉目的。间接的环境影响是抽水和储罐曝气的高能耗。这项研究的目的是开发一种工具,用于测量废水处理厂的能源成本并确定如何减少它们。采用的方法是双引导数据包络分析。结果表明,对效率有显着影响的变量是化学需氧量浓度。工厂产能;使用容量率,对效率产生积极影响;工业客户的重量,产生负面影响;和曝气系统,对涡轮机产生负面影响。本文建议采用有效的控制工具来监控水务公司的成本动因和能源支出。

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