A Case Study in View of Developing Predictive Models for Water Supply System Management

Katarzyna Pietrucha-Urbanik, Barbara Tchórzewska-Cieślak and Mohamed Eid
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Katarzyna Pietrucha-Urbanik: Department of Water Supply and Sewerage Systems, Faculty of Civil, Environmental Engineering and Architecture, Rzeszow University of Technology, Al. Powstancow Warszawy 6, 35-959 Rzeszow, Poland
Barbara Tchórzewska-Cieślak: Department of Water Supply and Sewerage Systems, Faculty of Civil, Environmental Engineering and Architecture, Rzeszow University of Technology, Al. Powstancow Warszawy 6, 35-959 Rzeszow, Poland
Mohamed Eid: National Institute of Applied Sciences of Rouen-LMN, INSA-Rouen, 685 avenue de l’Université-BP 08, 76801 St. Etienne du Rouvray, France

Energies, 2021, vol. 14, issue 11, 1-25

Abstract: Initiated by a case study to assess the effectiveness of the modernisation actions undertaken in a water supply system, some R&D activities were conducted to construct a global predictive model, based on the available operational failure and recovery data. The available operational data, regarding the water supply system, are the pipes’ diameter, failure modes, materials, functional conditions, seasonality, and the number of failures and time-to-recover intervals. The operational data are provided by the water company responsible of the supply system. A predictive global model is proposed based on the output of the operational data statistical assessment. It should assess the expected effectiveness of decisions taken in support of the modernisation and the extension plan.

Keywords: network; recovery time; failure analysis (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2021
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)

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