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

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

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, regardi...

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Bibliographic Details
Main Authors: Katarzyna Pietrucha-Urbanik, Barbara Tchórzewska-Cieślak, Mohamed Eid
Format: Article
Language:English
Published: MDPI AG 2021-06-01
Series:Energies
Subjects:
network
recovery time
failure analysis
Online Access:https://www.mdpi.com/1996-1073/14/11/3305
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spelling doaj-697ba3a5eb6d4fc6bf9fbd49f4601be62021-06-30T23:20:15ZengMDPI AGEnergies1996-10732021-06-01143305330510.3390/en14113305A Case Study in View of Developing Predictive Models for Water Supply System ManagementKatarzyna Pietrucha-Urbanik0Barbara Tchórzewska-Cieślak1Mohamed Eid2Department of Water Supply and Sewerage Systems, Faculty of Civil, Environmental Engineering and Architecture, Rzeszow University of Technology, Al. Powstancow Warszawy 6, 35-959 Rzeszow, PolandDepartment of Water Supply and Sewerage Systems, Faculty of Civil, Environmental Engineering and Architecture, Rzeszow University of Technology, Al. Powstancow Warszawy 6, 35-959 Rzeszow, PolandNational Institute of Applied Sciences of Rouen-LMN, INSA-Rouen, 685 avenue de l’Université-BP 08, 76801 St. Etienne du Rouvray, FranceInitiated 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.https://www.mdpi.com/1996-1073/14/11/3305networkrecovery timefailure analysis
collection DOAJ
language English
format Article
sources DOAJ
author Katarzyna Pietrucha-Urbanik
Barbara Tchórzewska-Cieślak
Mohamed Eid
spellingShingle Katarzyna Pietrucha-Urbanik
Barbara Tchórzewska-Cieślak
Mohamed Eid
A Case Study in View of Developing Predictive Models for Water Supply System Management
Energies
network
recovery time
failure analysis
author_facet Katarzyna Pietrucha-Urbanik
Barbara Tchórzewska-Cieślak
Mohamed Eid
author_sort Katarzyna Pietrucha-Urbanik
title A Case Study in View of Developing Predictive Models for Water Supply System Management
title_short A Case Study in View of Developing Predictive Models for Water Supply System Management
title_full A Case Study in View of Developing Predictive Models for Water Supply System Management
title_fullStr A Case Study in View of Developing Predictive Models for Water Supply System Management
title_full_unstemmed A Case Study in View of Developing Predictive Models for Water Supply System Management
title_sort case study in view of developing predictive models for water supply system management
publisher MDPI AG
series Energies
issn 1996-1073
publishDate 2021-06-01
description 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.
topic network
recovery time
failure analysis
url https://www.mdpi.com/1996-1073/14/11/3305
work_keys_str_mv AT katarzynapietruchaurbanik acasestudyinviewofdevelopingpredictivemodelsforwatersupplysystemmanagement
AT barbaratchorzewskacieslak acasestudyinviewofdevelopingpredictivemodelsforwatersupplysystemmanagement
AT mohamedeid acasestudyinviewofdevelopingpredictivemodelsforwatersupplysystemmanagement
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