Objective
Waste Water Treatment Plants (WWTPs) is one of the most expensive public industries in terms of energy requirements accounting for more than 1% of consumption of electricity in Europe. EU Water Framework Directive (WFD) 91/271/CEE made obligatory waste water treatment for cities and towns. Now within the EU-27, the total number of WWTPs is estimated as 22.558 for which we can estimate a total energy consumption of 15,021 GWh/year. Although most of the objectives of the WFD in relation to water protection have been achieved, most of these aging plants show unsustainable energy consumption and must be optimized to the maximum and renovated accordingly. However, in Europe there is no legislation, norms or standards to be followed, and as consequence, a gigantic opportunity for reducing the public electric expense remains unregulated.
The main objective of ENERWATER is to develop, validate and disseminate an innovative standard methodology for continuously assessing, labelling and improving the overall energy performance of WWTPs. For that purpose a collaboration framework in the waste water treatment sector including research groups, SMEs, utilities, city councils, authorities and industry will be set up. ENERWATER will devote important efforts to ensure that the method is widely adopted. Subsequent objectives are to impulse dialogue towards the creation of a specific European legislation following the example of recently approved EU directives, to achieve EU energy reductions objectives for 2020, ensuring effluent water quality, environmental protection and compliance with the WFD.
These actions should bring European Water Industry a competitive advantage in new products development and a faster access to markets by facilitating evidence of reduction therefore fostering adoption on new technologies.
Fields of science
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques.
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques.
- engineering and technologyenvironmental engineeringwater treatment processeswastewater treatment processes
- social sciencessociologygovernancepublic services
- natural sciencesearth and related environmental scienceshydrology
- engineering and technologyenvironmental engineeringnatural resources managementwater management
- social sciencespolitical sciencespublic administration
Programme(s)
Funding Scheme
CSA - Coordination and support actionCoordinator
15782 Santiago De Compostela
Spain