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.
Highlights
Within the frame of the modernisation of a regional water supply system (WSS) in Poland, an assessment of the effectiveness of the related decisions and actions was demanded by the regional authorities
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 background of the work is to assess the failure-recovery data of a regional WSS in Poland in view of building up first order predictive availability and reliability models. These preliminary predictive models were required to serve in predicting gross control indicators to assess the effectiveness of the decisions and the actions taken within the modernisation and the extension of a regional WSS
Summary
Within the frame of the modernisation of a regional water supply system (WSS) in Poland, an assessment of the effectiveness of the related decisions and actions was demanded by the regional authorities. Methods of assessing the availability and the reliability of the water supply networks are well developed and widely published, among others in [1,2] It is the same situation for case studies and WSS performance assessments [3]. The WSS performance is just one dimension of the whole water supply service performance For this reason, water supply utilities and other stakeholders are interested in models, methods, and standards that enable them to measure, assess, and predict the WSS availability and reliability. Dependant on the nature of the collected data, the characteristic parameters can be the occurrence frequencies (failures, recoveries, etc.), the time intervals (time before failure, time before recovery, etc.), or both Thanks to these parameters, the WSS availability and reliability can be assessed.
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