2013
DOI: 10.5942/jawwa.2013.105.0157
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Life‐cycle energy analysis of performance‐ versus age‐based pipe replacement schedules

Abstract: Native soil away for disposal 9.0% Native soil away for disposal 8.2% Energy of pipe transport to site 0.1% Asphalt 0.1% FIGURE 6 Embodied energy components for pipe replacement for 6-in. (A) and 8-in. (B) ductile-iron pipe Pipe 45.0% Pipe liner 11.9% Excavation 1.9% Compaction 2.6% Fill material to site 8.2% Energy of pipe transport to site 0.2% B A Initial backfill 5.8% Prosser et al | http://dx.

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Cited by 25 publications
(13 citation statements)
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“…To yield robust results in statistical analysis, this paper required a benchmarking dataset representative of the wide variety of characteristics such as configuration, pipe conditions and age profile, found in different water distribution systems. Eighteen distribution networks, therefore, were selected from different areas in the states of Kentucky and Ohio in the United States as well as the province of Ontario in Canada [15][16][17]. The network models in Ohio and Ontario are those utilized by corresponding municipalities while Kentucky models comprise a database developed from GIS files obtained from the Kentucky Infrastructure Authority [15].…”
Section: Application Of Multivariate Statistical Analyses In Large Wdssmentioning
confidence: 99%
See 2 more Smart Citations
“…To yield robust results in statistical analysis, this paper required a benchmarking dataset representative of the wide variety of characteristics such as configuration, pipe conditions and age profile, found in different water distribution systems. Eighteen distribution networks, therefore, were selected from different areas in the states of Kentucky and Ohio in the United States as well as the province of Ontario in Canada [15][16][17]. The network models in Ohio and Ontario are those utilized by corresponding municipalities while Kentucky models comprise a database developed from GIS files obtained from the Kentucky Infrastructure Authority [15].…”
Section: Application Of Multivariate Statistical Analyses In Large Wdssmentioning
confidence: 99%
“…To assess how simplified, common-practice rehabilitation plans would perform from an energy efficiency standpoint, the pipe replacement plan for the leaky ensemble proposed by Prosser et al [16] was compared to the proposed approach in this paper. The approach proposed by Prosser et al [16] considers thresholds of 25 breaks per 100 km or 100 years of age in pipes as two alternatives to trigger replacement. Figure 10 shows the clusters of high and low-efficiency pipes as in Figure 9.…”
Section: Examining Current-practice Pipe Rehabilitationsmentioning
confidence: 99%
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“…The case study system of Figure currently experiences a leakage rate of about 65 million liters per day (MLD), or 13% of a total system supply of about 500 MLD. With no pipe replacement, this system is projected to reach a leakage rate of 22.5% (112.5 MLD) by the year 2070 and this increase in leakage equates to an additional 2.5 million kWh per year in pumping energy . In 2010, the utility recorded 531 bursts that required intervention.…”
Section: Examples Of Innovation In the Water Industrymentioning
confidence: 99%
“…Water utility managers are facing a large water infrastructure funding deficit, which poses a challenge to continued delivery of safe drinking water in North American water distribution systems (Roshani & Filion , Mirza ). Given the backlog of aging and deteriorated pipes that require rehabilitation, the resulting loss of capacity and high leakage rates are partly responsible for high energy costs and drinking water quality issues (Prosser et al , Lambert et al , Kleiner et al , Sharp & Walski ). Under pressure to address the deficiencies in their water distribution networks as cost‐effectively as possible, water utilities would benefit from understanding which water mains have a low energy performance (Scanlan & Filion , Wong et al , Filion ).…”
mentioning
confidence: 99%