Technical efficiency and cost analysis in wastewater treatment processes: A DEA approach

In light of the growing importance of water reuse as an alternative source of water resources in many regional areas, the objective of this paper is to analyse the efficiency of wastewater treatment plants as a basic requisite to improve the potential of the water reuse. The analytical benchmarking...

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Vydané v:Desalination Ročník 249; číslo 1; s. 230 - 234
Hlavní autori: Hernández-Sancho, Francesc, Sala-Garrido, Ramón
Médium: Journal Article
Jazyk:English
Vydavateľské údaje: Amsterdam Elsevier B.V 30.11.2009
Elsevier
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ISSN:0011-9164, 1873-4464
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Abstract In light of the growing importance of water reuse as an alternative source of water resources in many regional areas, the objective of this paper is to analyse the efficiency of wastewater treatment plants as a basic requisite to improve the potential of the water reuse. The analytical benchmarking methodology Data Envelopment Analysis (DEA) is used to calculate efficiency measurements. An efficiency index is obtained for each plant by means of mathematical programming techniques, aiming to minimise the inputs used in the water treatment process. This indicator is used as a reference to analyse plants' activity through a series of variables including the size of the plant or its cost structure. Given the importance of wastewater treatment in the Valencia Region (Spain), empirical research has been carried out for 338 plants located in this area. We verify the fact that the largest plants run more efficiently than smaller plants, as was to be expected. At the same time, there is evidence that a series of representative variables in the treatment process are clearly linked to efficiency. Maintenance and waste management costs are the most important factors to explain the differences between plants in terms of efficiency. Finally, the benchmarking methodology (Data Envelopment Analysis) is confirmed as a very useful management tool for the study of wastewater sector.
AbstractList In light of the growing importance of water reuse as an alternative source of water resources in many regional areas, the objective of this paper is to analyse the efficiency of wastewater treatment plants as a basic requisite to improve the potential of the water reuse. The analytical benchmarking methodology Data Envelopment Analysis (DEA) is used to calculate efficiency measurements. An efficiency index is obtained for each plant by means of mathematical programming techniques, aiming to minimise the inputs used in the water treatment process. This indicator is used as a reference to analyse plants' activity through a series of variables including the size of the plant or its cost structure. Given the importance of wastewater treatment in the Valencia Region (Spain), empirical research has been carried out for 338 plants located in this area. We verify the fact that the largest plants run more efficiently than smaller plants, as was to be expected. At the same time, there is evidence that a series of representative variables in the treatment process are clearly linked to efficiency. Maintenance and waste management costs are the most important factors to explain the differences between plants in terms of efficiency. Finally, the benchmarking methodology (Data Envelopment Analysis) is confirmed as a very useful management tool for the study of wastewater sector.
In light of the growing importance of water reuse as an alternative source of water resources in many regional areas, the objective of this paper is to analyse the efficiency of wastewater treatment plants as a basic requisite to improve the potential of the water reuse. The analytical benchmarking methodology Data Envelopment Analysis (DEA) is used to calculate efficiency measurements. An efficiency index is obtained for each plant by means of mathematical programming techniques, aiming to minimise the inputs used in the water treatment process. This indicator is used as a reference to analyse plants' activity through a series of variables including the size of the plant or its cost structure. Given the importance of wastewater treatment in the Valencia Region (Spain), empirical research has been carried out for 338 plants located in this area. We verify the fact that the largest plants run more efficiently than smaller plants, as was to be expected. At the same time, there is evidence that a series of representative variables in the treatment process are clearly linked to efficiency. Maintenance and waste management costs are the most important factors to explain the differences between plants in terms of efficiency. Finally, the benchmarking methodology (Data Envelopment Analysis) is confirmed as a very useful management tool for the study of wastewater sector.
Author Hernández-Sancho, Francesc
Sala-Garrido, Ramón
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Cites_doi 10.1287/mnsc.42.3.466
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Issue 1
Keywords Benchmarking methodology
DEA models
Wastewater
Cost structure
Efficiency
Water reuse
Water treatment
Reuse
Maintenance
Modeling
Indicator
Sewage treatment plant
Waste water
Cost analysis
Waste water purification
Mathematical programming
Language English
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Snippet In light of the growing importance of water reuse as an alternative source of water resources in many regional areas, the objective of this paper is to analyse...
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SubjectTerms Applications of mathematics to chemical engineering. Modeling. Simulation. Optimization
Applied sciences
Benchmarking methodology
Chemical engineering
Computational efficiency
Computing time
Cost analysis
Cost structure
DEA models
Efficiency
Exact sciences and technology
General purification processes
Mathematical analysis
Mathematical models
Methodology
Pollution
Reuse
Sewerage works: sewers, sewage treatment plants, outfalls
Wastewater
Wastewater treatment
Wastewaters
Water reuse
Water treatment and pollution
Title Technical efficiency and cost analysis in wastewater treatment processes: A DEA approach
URI https://dx.doi.org/10.1016/j.desal.2009.01.029
https://www.proquest.com/docview/1777159098
https://www.proquest.com/docview/21113086
https://www.proquest.com/docview/35052834
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