Università di Catania
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WATINTECH

Smart decentralized Water management through a dynamic Integration of Technologies
Logo del progetto watintech
Classificazione: 
internazionali
Programma: 
Altri programmi dell'Unione Europea
Call / Bando: 
ERA-NET COFUND WATERWORKS
Settore ERC: 
Life Sciences
Ruolo Unict: 
Partner
Durata del progetto in mesi: 
36
Data inizio: 
Venerdì, 15 Aprile 2016
Data fine: 
Domenica, 14 Aprile 2019
Costo totale: 
€ 904.415,00
Quota Unict: 
€ 180.000,00
Coordinatore: 
Catalan Institute for Water Research (ICRA)
Responsabile/i per Unict: 
Giuseppe Cirelli
Dipartimenti e strutture coinvolte: 
Dipartimento di Agricoltura Alimentazione e Ambiente
Altri partner: 

ACCIONA Agua S.A., Technical University of Denmark (DTU), Universidade Nova de Lisboa (NOVA.ID.FCT). 

Abstract

The WATINTECH project proposes a combination of concepts of sewer mining with urban run-off treatment in decentralized treatment facilities to enhance the recovery of valuable resources including water, methane (heat, energy) and value-added chemicals, either extracting or producing them from the fluxes inside a sewage pipe. It is also postulated that this combination improves the management of centralized wastewater infrastructures under variable weather events (such as heavy rain episodes combined with long dry periods). The impact of sewer mining and wastewater characteristics on downstream wastewater treatment plants (WWTP) will also be analysed.

In an ideal scenario, besides generating the value-added products for local reuse, decentralized treatment will also impact positively on the existing centralized sewage collection and treatment facilities, an aspect rarely taken into account in the design of decentralized infrastructure. WATINTECH summons an inter-disciplinary consortium offering capabilities that cover the whole R&D value chain - from fundamental research to market uptake. The project will advance the state-of-the-art of novel technologies to achieve five main objectives in four experimental work packages employing different size laboratory and pilot-plants and one theoretical work package modelling process innovations and providing system wide optimization.