scholarly journals Hybrid discrete dynamically dimensioned search (HD-DDS) algorithm for water distribution system design optimization

2009 ◽  
Vol 45 (12) ◽  
Author(s):  
Bryan A. Tolson ◽  
Masoud Asadzadeh ◽  
Holger R. Maier ◽  
Aaron Zecchin
Keyword(s):  
Design Optimization ◽  
System Design ◽  
Distribution System ◽  
Water Distribution ◽  
Water Distribution System ◽  
System Design Optimization

scholarly journals Simulation-optimization Model for Design of Water Distribution System using Ant Based Algorithms

2018 ◽  
Vol 13 (1) ◽  
pp. 42
Author(s):  
Moeini R. R. ◽  
Moulaei S.A.M. S.A.M.
Keyword(s):  
Design Optimization ◽  
Distribution System ◽  
Water Distribution ◽  
Optimization Problem ◽  
Water Distribution System ◽  
Ant System ◽  
Ant Colony Optimization Algorithm ◽  
Exploration And Exploitation ◽  
Decision Variables ◽  
System Design Optimization

In this paper, the Ant Colony Optimization Algorithm (ACOA) is applied to solve Water Distribution System design optimization problem proposing two different methods. Considering pipe diameters as decision variables of the problem, Ant System and Max-Min Ant System, referred to ACOA1 and ACOA2 respectively, are applied to determine pipe diameters. In proposed methods, the ant-based models are interfaced with EPANET as simulator for the hydraulic analysis. Three benchmark test examples are solved with proposed methods and the results are presented and compared with those obtained with other existing methods. The results show the capability of the proposed methods to optimally solve the design optimization problem in which best results are obtained with ACOA2 in comparison with other available results. Furthermore, the results show the superiority of the proposed ACOA2 over than the ACOA1 in which the trade-off between the two contradictory search characteristic of exploration and exploitation is managed better by using Max-Min Ant System.

scholarly journals The Impacts of Spatially Variable Demand Patterns on Water Distribution System Design and Operation

Water ◽  
2019 ◽  
Vol 11 (3) ◽  
pp. 567 ◽  
Author(s):  
Kegong Diao ◽  
Robert Sitzenfrei ◽  
Wolfgang Rauch
Keyword(s):  
Water Quality ◽  
System Design ◽  
Distribution System ◽  
Distribution Systems ◽  
Water Distribution ◽  
Water Distribution System ◽  
Service Failure ◽  
Design Flow ◽  
Level Of Service ◽  
Demand Patterns

Resilient water distribution systems (WDSs) need to minimize the level of service failure in terms of magnitude and duration over its design life when subject to exceptional conditions. This requires WDS design to consider scenarios as close as possible to real conditions of the WDS to avoid any unexpected level of service failure in future operation (e.g., insufficient pressure, much higher operational cost, water quality issues, etc.). Thus, this research aims at exploring the impacts of design flow scenarios (i.e., spatial-variant demand patterns) on water distribution system design and operation. WDSs are traditionally designed by using a uniform demand pattern for the whole system. Nevertheless, in reality, the patterns are highly related to the number of consumers, service areas, and the duration of peak flows. Thus, water distribution systems are comprised of distribution blocks (communities) organized in a hierarchical structure. As each community may be significantly different from the others in scale and water use, the WDSs have spatially variable demand patterns. Hence, there might be considerable variability of real flow patterns for different parts of the system. Consequently, the system operation might not reach the expected performance determined during the design stage, since all corresponding facilities are commonly tailor-made to serve the design flow scenario instead of the real situation. To quantify the impacts, WDSs’ performances under both uniform and spatial distributed patterns are compared based on case studies. The corresponding impacts on system performances are then quantified based on three major metrics; i.e., capital cost, energy cost, and water quality. This study exemplifies that designing a WDS using spatial distributed demand patterns might result in decreased life-cycle cost (i.e., lower capital cost and nearly the same pump operating cost) and longer water ages. The outcomes of this study provide valuable information regarding design and operation of water supply infrastructures; e.g., assisting the optimal design.

Sign in / Sign up

Export Citation Format

Share Document