Extended Period Simulation for Pressure-Deficient Water Distribution Network
AbstractA water distribution network is said to be under pressure-deficient condition when hydraulic-head or pressure-head at any of its nodes fall below the required level. The demands at these pressure-deficient nodes cannot be fully satisfied. To make the analysis simple, it is generally assumed...
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Published in | Journal of computing in civil engineering Vol. 26; no. 4; pp. 498 - 505 |
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Main Authors | , |
Format | Journal Article |
Language | English |
Published |
Reston, VA
American Society of Civil Engineers
01.07.2012
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Subjects | |
Online Access | Get full text |
ISSN | 0887-3801 1943-5487 |
DOI | 10.1061/(ASCE)CP.1943-5487.0000160 |
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Summary: | AbstractA water distribution network is said to be under pressure-deficient condition when hydraulic-head or pressure-head at any of its nodes fall below the required level. The demands at these pressure-deficient nodes cannot be fully satisfied. To make the analysis simple, it is generally assumed that the demand is fully satisfied irrespective of the pressure-head available and this approach is referred as demand-driven analysis. For simplicity, demand-driven analysis received great attention in the past and several computer packages are readily available for the analysis of normal operational water distribution network. On the other hand, head-driven or pressure-driven analysis could be effectively used to analyze the pressure-deficient condition as these methods consider the head-discharge relationship at every node. This paper presents a pressure-deficient analysis algorithm using the widely used demand-driven analysis-based solver. The proposed algorithm is validated through benchmark water distribution network and then extended period simulation is carried out for a multiple source pumped network. The analysis shows that the proposed algorithm could find the partial nodal outflows and corresponding hydraulic-head values in a single hydraulic simulation run. |
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Bibliography: | ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 23 |
ISSN: | 0887-3801 1943-5487 |
DOI: | 10.1061/(ASCE)CP.1943-5487.0000160 |