Theoretical Estimation of Energy Balance Components in Water Networks for Top-Down Approach

Lipiwattanakarn, Surachai; Kaewsang, Suparak; Charuwimolkul, Natchapol; Changklom, Jiramate; Pornprommin, Adichai

doi:10.3390/w13081011

Cited by 6 publications

(3 citation statements)

References 26 publications

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“…A related line of research is carried out by [24], which proposes a graph-based analysis, including hydraulic simulation, in order to estimate the energy balance components, which has been tested on 20 real networks. [25] and [26] discriminate between different water consumption in order to detect abnormal events (e.g., leaks, illegal use, and metering inaccuracy).…”

Section: Related Workmentioning

confidence: 99%

A Novel Graph-Based Vulnerability Metric in Urban Network Infrastructures: The Case of Water Distribution Networks

Ponti

Candelieri

Giordani

et al. 2021

Water

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The key contribution of this paper is to embed the analysis of the network in a framework based on a mapping from the input space whose elements are nodes of a graph or the entire graph into an information space whose elements are probability distributions associated to objects in the input space. Specifically, a node is associated to the probability distribution of its node-to-node distances and the whole graph to the aggregation of these node distributions. In this space two distances are proposed for this analysis: Jensen-Shannon and Wasserstein, based respectively on information theory and optimal transport theory. This representation allows to compute the distance between the original network and the one obtained by the removal of nodes or edges and use this distance as an index of the increase in vulnerability induced by the removal. In this way a new characterization of vulnerability is obtained. This new index has been tested in two real-world water distribution networks. The results obtained are discussed along those which relate vulnerability to the loss of efficiency and those given by the analysis of the spectra of the adjacency and Laplacian matrices of the network. The models and algorithms considered in this paper have been integrated into an analytics framework which can also support the analysis of other networked infrastructures among which power grids, gas distribution, and transit networks are included.

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Section: Related Workmentioning

confidence: 99%

A Novel Graph-Based Vulnerability Metric in Urban Network Infrastructures: The Case of Water Distribution Networks

Ponti

Candelieri

Giordani

et al. 2021

Water

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“…Chang Y. et al [3] developed a methodology to save energy costs for water networks by transferring the water demand at storage systems when the unit price of energy is high and the amount of water demand is increased when the unit price of energy is low. On the other hand, Lipiwattanakarn S. et al [4] created a theoretical estimation of assessing the energy efficiency of water distribution systems based on energy balance. These components of energy were: outgoing energy through water loss, friction energy loss, and energy associated with water loss.…”

Section: Introductionmentioning

confidence: 99%

Pumping Station Design with an Analysis of Variability of Demand and Considering Techno-Economic and Environmental Criteria through the AHP Method

Briceño-León,

Iglesias-Rey,

Martínez-Solano

et al. 2022

Proceedings - 2nd International Join Conference on Water Distribution System Analysis (WDSA)& Computing and Control in the

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Pumping stations costs including, capital and operational costs are some of the highest costs in urban water distribution system. A proper pumping station design could be defined as the solution with the minimum life cycle cost and satisfying extreme scenarios in water distribution system. These costs are associated with investment, operational and maintenance costs. However, there are some important aspects to consider un a pumping station design, such as the feasibility of infrastructure construction, the size of the infrastructure, and the complexity of operation in the pumping station. These aspects are associated with technical criteria. In a classical pumping station design, the number of pumps is determined in arbitrary form according to the criteria of the engineer, and the pump model is selected according to the maximum requirements of flow and pressure of the network. In summary, these variables in a pumping station design are not usually analyzed deeply. In addition, global warming acceleration in the last decades has gained momentum to be considered in engineering problems to mitigate the environmental impact. Hence, it is imperative to consider environmental aspects, such as greenhouse emission, energetic efficiency of the pump in modern pumping systems of water distribution networks. Finally, the most suitable solution is determined only by analyzing economic aspects. Therefore, this work proposed a methodology to design pumping stations in urban water networks considering technical, environmental, and economic criteria and link them together through the Analytic Hierarchy Process (AHP) method. The propose of this method is to determine the importance priority of these aspects to assess the possible solutions and determine the most suitable solution in the pumping station design. In addition, this work considers the variability of demand pattern. This work analyses several scenarios of demand patterns from the minimum possible demand to the maximum possible demand in a water distribution network and the respective probabilities of occurrence of scenario. It allows that the pumping station design be more robust. This methodology has been applied in different case studies to analyze how affects to determine the most suitable solution when the characteristics of the network change.

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“…In summary, the energy cost of water networks could be reduced by more than 5%. In a similar way, Lipiwattanakarn S. et al [11] created a theoretical estimation of assessing the energy efficiency of water distribution systems based on energy balance, and it could be applied in an energy audit of water networks. The three components of energy that were assessed were: outgoing energy through water loss, friction energy loss, and energy associated with water loss.…”

Section: Introductionmentioning

confidence: 99%

Design of Pumping Stations Using a Multicriteria Analysis and the Application of the AHP Method

et al. 2021

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The pumping station is a very important hydraulic system in urban water supplies because the pumps raise the water head, ensuring the minimum pressure required in drinking water systems. In the design of a pumping station, one of the most important criteria is the number of pumps. However, in the traditional design, this criterion is defined arbitrarily. The other criteria are defined from the number of pumps and can produce a design that is not optimal. In addition, the traditional design does not consider the importance of the environment in choosing the pumps. The objective of this paper is to define a new design methodology for pumping stations. It has been developed using a multicriteria analysis in which nine criteria are evaluated. The application of the analytic hierarchy process (AHP) allows for finding an optimal solution. These design criteria have been associated in three cluster factors: technical factors; environmental factors; and economic factors. The results obtained allow us not only to validate the methodology but also to offer a solution to the problem of determining the most suitable model and the number of pumps for a pumping station.

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Theoretical Estimation of Energy Balance Components in Water Networks for Top-Down Approach

Cited by 6 publications

References 26 publications

A Novel Graph-Based Vulnerability Metric in Urban Network Infrastructures: The Case of Water Distribution Networks

A Novel Graph-Based Vulnerability Metric in Urban Network Infrastructures: The Case of Water Distribution Networks

Pumping Station Design with an Analysis of Variability of Demand and Considering Techno-Economic and Environmental Criteria through the AHP Method

Design of Pumping Stations Using a Multicriteria Analysis and the Application of the AHP Method

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