6533b7d4fe1ef96bd1261d5d
RESEARCH PRODUCT
Eco-efficiency assessment of wastewater treatment plants using a weighted Russell directional distance model
María Molinos-senanteRafael CaballeroTrinidad GómezGerman GemarRamón Sala-garridosubject
PollutantEngineeringEcological footprintRenewable Energy Sustainability and the Environmentbusiness.industry020209 energyStrategy and ManagementEnvironmental engineeringSample (statistics)02 engineering and technology010501 environmental sciencesEco-efficiency01 natural sciencesIndustrial and Manufacturing EngineeringGreenhouse gasSustainability0202 electrical engineering electronic engineering information engineeringSewage treatmentbusinessInefficiency0105 earth and related environmental sciencesGeneral Environmental Sciencedescription
Abstract Improving the performance of wastewater treatment plants is essential to ensuring their long-term sustainability. Most of the previous studies on this topic have assessed the techno-economic efficiency of wastewater treatment plants and ignored the emission of greenhouse gases. For the first time, the weighted Russell directional distance model was applied to estimate the eco-efficiency of a sample of real wastewater treatment plants. Moreover, this approach allowed an inefficiency score to be obtained for each variable (cost factors, pollutant removal and greenhouse gases) involved in the model. Subsequently, a second stage of analysis was applied to identify factors influencing the previously computed inefficiency scores. The results illustrated that approximately half of the facilities assessed had significant room for improvement in their eco-efficiency. Moreover, the characteristics of over- and undersizing of the plants significantly affected their eco-efficiency. The methodology and results of this study are of great interest, not only for wastewater treatment plant managers and water authorities but also for citizens because there have been growing concerns regarding minimizing the ecological footprint in the urban water cycle.
year | journal | country | edition | language |
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2016-11-01 | Journal of Cleaner Production |