%0 Journal Article %A Jiménez, Víctor %A Grau, Sergi %A Perez, Ramon %D 2017 %T CCWi2017: F76 'Leak Detection in a DMA, a Real Application of Flow Modelling' %U https://orda.shef.ac.uk/articles/journal_contribution/CCWi2017_F76_Leak_Detection_in_a_DMA_a_Real_Application_of_Flow_Modelling_/5364559 %R 10.15131/shef.data.5364559.v1 %2 https://orda.shef.ac.uk/ndownloader/files/9219169 %K CCWi2017 %K Data Management %K Leak Localisation %K Demand Modelling %K Civil Engineering not elsewhere classified %X This paper presents a versatile methodology to calculate parameters that characterise the demand of a DMA. This parameters are used for the leak modelling so that a predictive model is built and trained with historical data and used to detect on-line new leaks so that the repair time can be reduced applying proper leak localisation techniques. This methodology has been programmed using R where the modelling packages available provide assortment of predictive models easily to implement. It has been integrated in a Data analysis tool in order to utilise the great amount of information coming continuously from the WDN. Once the methodology and the tool are described the results applied to a real DMA are presented. This work has been carried out by the fundació CTM Centre Tecnològic (CTM) collaborating with Research Center for Supervision, Safety and Automatic Control (CS2AC) within a research project of Aigües de Manresa. %I The University of Sheffield