Abstract
The existing municipal water supply systems are composed mainly of excessively reserved water supply infrastructure i.e. systems with significant excess capacity in relation to the actual demand. Considering management challenges regarding the oversized water supply infrastructure, the authors propose reliability-economic methodology in the example of the existing water treatment plant. Two-parameter analytical method was used for reliability analysis while the economic aspect was presented using the Life Cycle Costing (LCC). The basis for the proposed methodology was an analysis of the proprietary indicators, i.e. economical operational readiness rate (Re), indicator of consequences of operational decisions (Ic) as well as the unit indicator of consequences of operational decisions (Iuc) in selected operational variants of the water supply system. Due to the structural complexity of the water treatment plant, a new approach to the management of excessively reserved water supply infrastructure in the example of the two parallel rapid filtration systems was proposed. The presented reliability-economic approach to the oversized infrastructure management allows for characterization of further operational scenarios and selection of the most favorable one. Presented analysis results led to development of a rational management plan for technical infrastructure of water filtration arrangements in the water supply system.
| Translated title of the contribution | Application of integrated reliability-economic analysis in management of oversized water supply infrastructure |
|---|---|
| Original language | Polish |
| Pages (from-to) | 25-30 |
| Number of pages | 6 |
| Journal | Ochrona Srodowiska |
| Volume | 37 |
| Issue number | 4 |
| Publication status | Published - 2015 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 6 Clean Water and Sanitation
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SDG 9 Industry, Innovation, and Infrastructure
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SDG 11 Sustainable Cities and Communities
ASJC Scopus subject areas
- General Environmental Science
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