The Optimal Balance Point between NRW Reduction Measures, Full Water Costing and Water Pricing in Water Distribution Systems. Alternative Scenarios Forecasting the Kozani's WDS Optimal Balance Point

Kanakoudis, Vasilis; Gonelas, Konstantinos

doi:10.1016/j.proeng.2015.08.996

Cited by 18 publications

(14 citation statements)

References 6 publications

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“…Note that ML estimates for the model (2) are the ordinary LS estimates. The use of the ML method, in general, gains a particular advantage in native estimation under the assumption of the non-linear model (4). The estimates follow good asymptotic properties and are suitable for further extensions of the model addressed later.…”

Section: Statistical Inference For Pressurementioning

confidence: 99%

“…It has been proven that many more factors aside from pressure conditions have an effect on water consumption. Several previous studies have shown that water consumption is affected not only by customer price [4][5][6], but also by climate factors [6][7][8] and pressure in the water mains [2,5,9,10]. For example, in [11] an analysis of the dependency of water produced for the city of Brno on meteorological factors was conducted and a certain dependency was indicated.…”

Section: Introductionmentioning

confidence: 99%

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An Experimental Water Consumption Regression Model for Typical Administrative Buildings in the Czech Republic

Rucka

Holešovský

Suchacek

et al. 2018

Water

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Pressure management is the basic step of reducing water losses from water supply systems (WSSs). The reduction of direct water losses is reliably achieved by reducing pressure in the WSSs. There is also a slight decrease in water consumption in connected properties. Nevertheless, consumption is also affected by other factors, the quantification of which is not trivial. However, there is still a lack of much relevant information to enter into this analysis and subsequent decision making. This article focuses on water consumption and its prediction, using regression models designed for an experiment regarding an administrative building in the Czech Republic (CZ). The variables considered are pressure and climatological factors (temperature and humidity). The effects of these variables on the consumption are separately evaluated, subsequently multidimensional models are discussed with the common inclusion of selected combinations of predictors. Separate evaluation results in a value of the N 3 coefficient, according to the FAVAD concept used for prediction of changes in water consumption related to pressure. The statistical inference is based on the maximum likelihood method. The proposed regression models are tested to evaluate their suitability, particularly, the models are compared using a cross-validation procedure. The significance tests for parameters and model reduction are based on asymptotic properties of the likelihood ratio statistics. Pressure is confirmed in each regression model as a significant variable.

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Section: Statistical Inference For Pressurementioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

An Experimental Water Consumption Regression Model for Typical Administrative Buildings in the Czech Republic

Rucka

Holešovský

Suchacek

et al. 2018

Water

View full text Add to dashboard Cite

show abstract

“…Kanakoudis and Gonelas examined the factors affecting the residential water demand level in the city of Kozani in Greece, they expected to determine and record the overall reaction of consumers to the changes in water prices because of implementing the full water cost principle [19]. Also, Kanakoudis and Gonelas analyzed the full water cost integration in water price as well as the consumers' response to water price changes; they hoped to find the optimal balance point in Kozani's water distribution system under increased water price [20]. Domestic water price research began to increase mainly after the 1990s.…”

Section: Introductionmentioning

confidence: 99%

Research on Economic Bearing Capacity of Farmers to Agricultural Irrigation Water Prices in the Ebinur Lake Basin

et al. 2019

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The Ebinur Lake Basin is one of the few lakes in the arid area of northwest China where water shortages have always been an important factor hindering development. Therefore, this study takes as its objective an investigation of water prices as the main economic factor that restricts the sustainable utilization of water resources to explore the economic affordability of water prices for farmers. Furthermore, the study attempts to determine the appropriate range of prices for water price reform. In this study, a questionnaire was designed to survey 210 agricultural water users in Wenquan County, Bole City, and Jinghe County, areas where agricultural activities are relatively concentrated in the vicinity of the Ebinur Lake Basin. Based on the data from the field survey, the range of economic affordability for farmers in the Ebinur Lake Basin was categorized by the ELES model; according to the analysis method of water tolerability index, a suitable water price standard for farmers' reform was obtained. The results show that (1) 97% of the farm households have the ability to pay irrigation water prices and only 3% do not have the ability to pay and (2) economically affordable water prices for farm households range from 79 to 143 €/hm 2 , the latitude for raising water prices is 64 €/hm 2 , and the adjustable range of unit water pricing is between 0.014 and 0.042 €/m 3 . It can be seen that increasing water prices is feasible.

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“…In contrast to the two above-mentioned criteria, water consumption is also burdened by a higher stochasticity and by various factors as well. Factors influencing the consumption include a group of operating factors, with the pressure in the water system being most influential among them, for example according to [1][2][3][4][5][6], the climatological factors [6][7][8][9] and also, for example, the water price [2,10,11].…”

Section: Introductionmentioning

confidence: 99%

The Dependence of Water Consumption on the Pressure Conditions and Sensitivity Analysis of the Input Parameters

2018

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Abstract:The paper presents results and sensitivity analysis of the results of a real detailed study focused on changes in water consumption and its unevenness with changing pressure conditions in a particular observed office building. The dependence of water consumption on pressure is expressed using the FAVAD equation using the N3 coefficient. Parameters for sensitivity analysis are number of workers in the building, pulse value from water meter and length of time step for expressing unevenness of water consumption during the day.

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The Optimal Balance Point between NRW Reduction Measures, Full Water Costing and Water Pricing in Water Distribution Systems. Alternative Scenarios Forecasting the Kozani's WDS Optimal Balance Point

Cited by 18 publications

References 6 publications

An Experimental Water Consumption Regression Model for Typical Administrative Buildings in the Czech Republic

An Experimental Water Consumption Regression Model for Typical Administrative Buildings in the Czech Republic

Research on Economic Bearing Capacity of Farmers to Agricultural Irrigation Water Prices in the Ebinur Lake Basin

The Dependence of Water Consumption on the Pressure Conditions and Sensitivity Analysis of the Input Parameters

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