Water distribution pipe replacement optimization based on spatial clustering
Pipe groups divided by physical attributes often include many individual pipes that are scattered over a large geographical area, meaning the replacement of these pipes requires frequent service interruptions and additional costs due to the scattered delivery of repair resources. To address this iss...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
IWA Publishing
2023-05-01
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| Series: | Aqua |
| Subjects: | |
| Online Access: | http://aqua.iwaponline.com/content/72/5/762 |
| _version_ | 1797810280608038912 |
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| author | Xiwei Zhu Benwei Hou Shan Wu |
| author_facet | Xiwei Zhu Benwei Hou Shan Wu |
| author_sort | Xiwei Zhu |
| collection | DOAJ |
| description | Pipe groups divided by physical attributes often include many individual pipes that are scattered over a large geographical area, meaning the replacement of these pipes requires frequent service interruptions and additional costs due to the scattered delivery of repair resources. To address this issue, this paper proposes a framework for pipe replacement optimization on pipe groups divided by spatial clustering, aiming to reduce the number of scattered individual pipes in the replacement scheme. The proposed framework integrates spatial autocorrelation analysis for spatial clustering of pipe groups as replacement candidates, the pipe failure model to predict potential failures of pipe groups, and the replacement optimization model of pipe groups. The optimization model aims to minimize the number of potential failures within the constraints of the annual budget. The framework was implemented in a real WDN and pipe replacement schemes obtained by the proposed framework are compared with two other methods, namely, pipe attribute clustering-based optimization and pipe risk-based ranking. The results show that the spatial clustering-based helps reduce the number of spatially scattered individual pipes by 37.4 and 64.6%, respectively, compared to the other two methods. The proposed framework is expected to provide more cost–benefit schemes for pipe replacement.
HIGHLIGHTS
The spatial clustering of pipe groups is integrated into the replacement optimization of water distribution pipes.;
The spatial patterns of pipe failures are investigated by spatial autocorrelation analysis.;
The spatial clustering of pipe groups is able to reduce the number of spatially scattered individual pipes in the replacement scheme.; |
| first_indexed | 2024-03-13T07:05:48Z |
| format | Article |
| id | doaj.art-b9fb605d579e4eb886ebf8934fdbe472 |
| institution | Directory Open Access Journal |
| issn | 2709-8028 2709-8036 |
| language | English |
| last_indexed | 2024-03-13T07:05:48Z |
| publishDate | 2023-05-01 |
| publisher | IWA Publishing |
| record_format | Article |
| series | Aqua |
| spelling | doaj.art-b9fb605d579e4eb886ebf8934fdbe4722023-06-06T11:32:08ZengIWA PublishingAqua2709-80282709-80362023-05-0172576278010.2166/aqua.2023.024024Water distribution pipe replacement optimization based on spatial clusteringXiwei Zhu0Benwei Hou1Shan Wu2 Faculty of Architecture, Civil and Transportation Engineering, Beijing University of Technology, Beijing 100124, China Faculty of Architecture, Civil and Transportation Engineering, Beijing University of Technology, Beijing 100124, China Faculty of Architecture, Civil and Transportation Engineering, Beijing University of Technology, Beijing 100124, China Pipe groups divided by physical attributes often include many individual pipes that are scattered over a large geographical area, meaning the replacement of these pipes requires frequent service interruptions and additional costs due to the scattered delivery of repair resources. To address this issue, this paper proposes a framework for pipe replacement optimization on pipe groups divided by spatial clustering, aiming to reduce the number of scattered individual pipes in the replacement scheme. The proposed framework integrates spatial autocorrelation analysis for spatial clustering of pipe groups as replacement candidates, the pipe failure model to predict potential failures of pipe groups, and the replacement optimization model of pipe groups. The optimization model aims to minimize the number of potential failures within the constraints of the annual budget. The framework was implemented in a real WDN and pipe replacement schemes obtained by the proposed framework are compared with two other methods, namely, pipe attribute clustering-based optimization and pipe risk-based ranking. The results show that the spatial clustering-based helps reduce the number of spatially scattered individual pipes by 37.4 and 64.6%, respectively, compared to the other two methods. The proposed framework is expected to provide more cost–benefit schemes for pipe replacement. HIGHLIGHTS The spatial clustering of pipe groups is integrated into the replacement optimization of water distribution pipes.; The spatial patterns of pipe failures are investigated by spatial autocorrelation analysis.; The spatial clustering of pipe groups is able to reduce the number of spatially scattered individual pipes in the replacement scheme.;http://aqua.iwaponline.com/content/72/5/762failure modelpipe groupingpipe replacementreplacement optimizationspatial clusteringwater distribution network |
| spellingShingle | Xiwei Zhu Benwei Hou Shan Wu Water distribution pipe replacement optimization based on spatial clustering Aqua failure model pipe grouping pipe replacement replacement optimization spatial clustering water distribution network |
| title | Water distribution pipe replacement optimization based on spatial clustering |
| title_full | Water distribution pipe replacement optimization based on spatial clustering |
| title_fullStr | Water distribution pipe replacement optimization based on spatial clustering |
| title_full_unstemmed | Water distribution pipe replacement optimization based on spatial clustering |
| title_short | Water distribution pipe replacement optimization based on spatial clustering |
| title_sort | water distribution pipe replacement optimization based on spatial clustering |
| topic | failure model pipe grouping pipe replacement replacement optimization spatial clustering water distribution network |
| url | http://aqua.iwaponline.com/content/72/5/762 |
| work_keys_str_mv | AT xiweizhu waterdistributionpipereplacementoptimizationbasedonspatialclustering AT benweihou waterdistributionpipereplacementoptimizationbasedonspatialclustering AT shanwu waterdistributionpipereplacementoptimizationbasedonspatialclustering |