Water System Design by Optimization: Colorado Springs Utilities Case Studies

Lippai, Istvan

doi:10.1061/40800(180)85

Cited by 14 publications

(3 citation statements)

References 1 publication

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The proposed methodology was verified on an actual large WDN, the Wolf-Cordera Ranch WDN located in Colorado, USA. The network was first introduced by Lippai [61] and was originally designed to cover 9.70 km 2 with the amount of water supply forecasted at 441 L/s to meet the average daily demand until 2030. During a regular day operation, including peak hour demand, the network is supplied by one source operated by one pumping station in the highest network topography, as shown in Figure 8a.…”

Section: Case Studymentioning

confidence: 99%

Optimal Design of District Metered Areas in a Water Distribution Network Using Coupled Self-Organizing Map and Community Structure Algorithm

Bui

Marlim

Kang

2021

Water

View full text Add to dashboard Cite

Operation and management of a water distribution network (WDN) by district metered areas (DMAs) bring many benefits for water utilities, particularly regarding water loss control and pressure management. However, the optimal design of DMAs in a WDN is a challenging task. This paper proposes an approach for the optimal design of DMAs in the multiple-criteria decision analysis (MCDA) framework based on the outcome of a coupled model comprising a self-organizing map (SOM) and a community structure algorithm (CSA). First, the clustering principle of the SOM algorithm is applied to construct initial homologous clusters in terms of pressure and elevation. CSA is then coupled to refine the SOM-based initial clusters for the automated creation of multiscale and dynamic DMA layouts. Finally, the criteria for quantifying the performance of each DMA layout solution are assessed in the MCDA framework. Verifying the model on a hypothetical network and an actual WDN proved that it could efficiently create homologous and dynamic DMA layouts capable of adapting to water demand variability.

show abstract

Section: Case Studymentioning

confidence: 99%

Optimal Design of District Metered Areas in a Water Distribution Network Using Coupled Self-Organizing Map and Community Structure Algorithm

Bui

Marlim

Kang

2021

Water

View full text Add to dashboard Cite

show abstract

“…Note that many empirical WDNs have multiple root nodes (e.g. Modena [21], Colorado [22], Pescara [21] and Balerma [23]). Second, we aim to understand the genesis of the distribution of pipe diameters in the empirical WDNs.…”

Section: Introductionmentioning

confidence: 99%

A growth model for water distribution networks with loops

et al. 2021

View full text Add to dashboard Cite

Water distribution networks (WDNs) expand their service areas over time. These growth dynamics are poorly understood. One facet of WDNs is that they have loops in general, and closing loops may be a functionally important process for enhancing their robustness and efficiency. We propose a growth model for WDNs that generates networks with loops and is applicable to networks with multiple water sources. We apply the proposed model to four empirical WDNs to show that it produces networks whose structure is similar to that of the empirical WDNs. The comparison between the empirical and modelled WDNs suggests that the empirical WDNs may realize a reasonable balance between cost, efficiency and robustness in terms of the network structure. We also study the design of pipe diameters based on a biological positive feedback mechanism. Specifically, we apply a model inspired by Physarum polycephalum to find moderate positive correlations between the empirical and modelled pipe diameters. The difference between the empirical and modelled pipe diameters suggests that we may be able to improve the performance of WDNs by following organizing principles of biological flow networks.

show abstract

“…Our model generates networks with loops and is applicable to networks with multiple root nodes. Note that many empirical WDNs have multiple root nodes (e.g., Modena [7], Colorado [33], Pescara [7], and Balerma [42]). Second, we aim to understand the genesis of the distribution of pipe diameters in the empirical WDNs.…”

Section: Introductionmentioning

confidence: 99%

A growth model for water distribution networks with loops

Sugishita,

Abdel-Mottaleb,

Zhang

et al. 2021

Preprint

View full text Add to dashboard Cite

Water distribution networks (WDNs) expand their service areas over time. These growth dynamics are poorly understood. One facet of WDNs is that they have loops in general, and closing loops may be a functionally important process for enhancing their robustness and efficiency. We propose a growth model for WDNs which generates networks with loops and is applicable to networks with multiple water sources. We apply the proposed model to four empirical WDNs to show that it produces networks whose structure is similar to that of the empirical WDNs. The comparison between the empirical and modeled WDNs suggests that the empirical WDNs realize a reasonable balance between cost, efficiency, and robustness. We also study the design of pipe diameters based on a biological positive feedback mechanism. Specifically, we apply a model inspired by Physarum polycephalum to find moderate positive correlations between the empirical and modeled pipe diameters. This result suggests that the distribution of pipe diameters in the empirical WDNs is closer to an optimal one than a uniformly random distribution. However, the difference between the empirical and modeled pipe diameters suggests that we may be able to improve the performance of WDNs by following organizing principles of biological flow networks.

show abstract

Water System Design by Optimization: Colorado Springs Utilities Case Studies

Cited by 14 publications

References 1 publication

Optimal Design of District Metered Areas in a Water Distribution Network Using Coupled Self-Organizing Map and Community Structure Algorithm

Optimal Design of District Metered Areas in a Water Distribution Network Using Coupled Self-Organizing Map and Community Structure Algorithm

A growth model for water distribution networks with loops

A growth model for water distribution networks with loops

Contact Info

Product

Resources

About