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首页> 外文期刊>Environmental Monitoring and Assessment >Eco-efficiency evaluation in wastewater treatment plants considering greenhouse gas emissions through the data envelopment analysis-tolerance model
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Eco-efficiency evaluation in wastewater treatment plants considering greenhouse gas emissions through the data envelopment analysis-tolerance model

机译：通过数据包络分析耐受模型考虑温室气体排放的废水处理厂生态效率评价

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The eco-efficiency evaluation in wastewater treatment plants (WWTPs) is used to know and improve the environmental and economic efficiency of these processes, systems, products, and services. The eco-efficiency evaluations in WWTP contemplate the inputs to be minimized, the desirable results to be maximized, and the undesired results to be minimized. Data envelopment analysis (DEA) is a widely used method to evaluate the eco-efficiency of WWTPs; integrating several approaches in a single index, traditional DEA models do not take into account the uncertainty in the data. This study evaluates the eco-efficiency of a sample of Catalan WWTPs, considering the uncertainty of the data (DEA tolerance model), and it is for the first time that together with CO2, other greenhouse gas (GHG) such as CH4 and N2O are considered as part of the process outputs. GHG emissions were quantified using methods reported in the literature. Seven hundred twenty-nine eco-efficiency scores were estimated for each WWTP instead of a single score like conventional DEA models, analyzing optimistic and pessimistic scenarios. The WWTPs were classified according to the estimated eco-efficiency scores, accounting for the uncertainty in each of the scenarios, and demonstrating the changes in the performance of the WWTPs in the different scenarios. Only two WWTPs were eco-efficient in all the scenarios evaluated. This approach provides essential information to improve efficiency and innovation in the wastewater sector.
机译：废水处理厂（WWTPS）的生态效率评估用于了解和提高这些流程，系统，产品和服务的环境和经济效益。 WWTP中的生态效率评估考虑了要最小化的输入，所需的结果最大化，并且最小化的不期望的结果。数据包络分析（DEA）是一种广泛使用的方法来评估WWTPS的生态效率;在单一索引中集成了几种方法，传统的DEA模型不会考虑数据中的不确定性。这项研究评估了考虑数据（DEA耐受模型）的不确定性的加泰罗尼亚WWTPS样本的生态效率，并且它是第一次与CO2，其他温室气体（如CH4和N2O）一起被认为是过程输出的一部分。使用文献中报道的方法量化了温室气体排放。每个WWTP估计七百二十九次生态效率分数，而不是传统的DEA模型等单一分数，分析乐观和悲观的情景。根据估计的生态效率分数，审计了WWTP，占每个情景中的不确定性，并展示了不同情景中WWTP的性能的变化。在评估的所有场景中，只有两个WWTP是生态效率。这种方法提供了提高废水部门效率和创新的基本信息。

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