Optimizing water tanks in water distribution systems by combining network reduction, mathematical optimization and hydraulic simulation

Hallmann, Corinna; Suhl, Leena

doi:10.1007/s00291-015-0403-1

Cited by 11 publications

(3 citation statements)

References 16 publications

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“…Shokoohi et al [53] emphasized the need to address water quality at the design stage, but their optimization model did not include service reservoirs. Hallmann and Suhl [23] did not include water quality in their service reservoir optimization model or the subsequent verification by simulation.…”

Section: Introductionmentioning

confidence: 99%

System-wide joint-dynamic-response approach to water quality evaluation in distribution networks with multiple service reservoirs and pumps

Tanyimboh

Seyoum²

2021

SN Appl. Sci.

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Rigorous system-wide aggregated water quality performance indices for water distribution networks are lacking in the literature due to complexities associated with high dimensional spatial and temporal water quality data. Water quality considerations unavoidably increase performance evaluation difficulties considerably. The formulation developed in this article addresses the post-extended period simulation high-dimensional data challenges. A system-wide joint-dynamic-response approach to water quality evaluation is introduced that accounts for spatial and temporal variations in nodal demands and the respective time-varying hydraulic and water quality properties of multiple service reservoirs. Effective comparisons of the water quality response of service reservoirs and their effects were achieved. This includes individual reservoirs and the combined effects of multiple reservoirs. Service reservoirs and the nodes they supply were particularly vulnerable from the standpoint of water quality. The role of the network’s topology considering water quality risks was revealed also. The correlation between the medians and flow-weighted daily means of the water quality parameters was very strong (R2 ≥ 0.994) for the service reservoirs considered. Thus, the median could be useful as a practical performance surrogate in design optimization procedures. Finally, there seems to be an association between the flow-weighted daily means and overall hydraulic effectiveness of service reservoirs.

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Section: Introductionmentioning

confidence: 99%

System-wide joint-dynamic-response approach to water quality evaluation in distribution networks with multiple service reservoirs and pumps

Tanyimboh

Seyoum²

2021

SN Appl. Sci.

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“…Hallmann and Suhl (2016) propose a combination of network reduction, mathematical optimization, and hydraulic simulation to support planning of tanks in water distribution systems. A non-convex mixed-integer quadratically constrained optimization problem is solved approximately.…”

Section: Optimizing Water Tanks In Water Distribution Systems By Combmentioning

confidence: 99%

Quantitative solutions for future energy systems and markets

2016

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In the recent years, it has become more and more evident that anthropogenic climate change is real and happening at an accelerating pace, which is threatening modern society. The 2015 UN-climate conference in Paris brought about a global consensus that emission of climate active gases has to be drastically reduced to mitigate the effects of global warming.Players in the energy sector, therefore, face rapidly changing conditions due to technological progress, the fast growth of renewables, market liberalization, and changes in global demand and supply. Firms, governments, and consumers are confronted with new challenges connected to increased competition, decentralization of production and the globalization of energy markets. These new problems call for tailored quantitative solutions to analyze, optimize, and control the operation of energy systems and markets, taking into account the distinct economic, technological and political characteristics of the energy sector. Generally, energy systems are complex technical systems with strict real-time requirements and very high requirements in fault tolerance. Often these systems are embedded into markets that mirror the complexity of the technical system as, for example, is the case with power markets. The optimal design and operation of such

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“…Such situations are caused by the water supply system failures, especially by failures in the main network which have larger consequences and cover larger area, while failures of distributional pipes are important to customers directly supplied from given pipes and the nearest area. To prevent such problems and improve the quality of services provided by water companies, risk analysis should be conducted by hydraulic simulating failures in water pipes [1,2] and through implementation of intelligent monitoring of water supply system [26,27]. Currently the requirements relating to water supply increase, therefore the water suppliers should reduce the risk associated with lack of water supply or supply poor quality water [14].…”

Section: Introductionmentioning

confidence: 99%

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2017

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Optimizing water tanks in water distribution systems by combining network reduction, mathematical optimization and hydraulic simulation

Cited by 11 publications

References 16 publications

System-wide joint-dynamic-response approach to water quality evaluation in distribution networks with multiple service reservoirs and pumps

System-wide joint-dynamic-response approach to water quality evaluation in distribution networks with multiple service reservoirs and pumps

Quantitative solutions for future energy systems and markets

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