Pressure Management and Energy Recovery Capabilities Using PATs

Patelis, Menelaos; Kanakoudis, Vasilis; Gonelas, Konstantinos

doi:10.1016/j.proeng.2016.11.094

Cited by 31 publications

(18 citation statements)

References 5 publications

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“…Great attention is currently paid to optimizing the pressure conditions in water supply systems. However, a major part of the optimizing approaches is dedicated to reduction of both water loss and energy cost [1,2]. The first step in reducing water losses is usually the revision of pressure conditions and their subsequent adjustment, enabling the optimum scope of pressure conditions while maintaining the hydraulic capacity of the mains.…”

Section: Introductionmentioning

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: Introductionmentioning

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

“…This basically means that an optimization of selected optimization criteria was carried out according to chosen preferences, based on changes in operating parameters affecting the selected criteria. Now, the water losses, respectively its reducing, is mostly frequently used as an optimization criterion, and the energy recuperation as well [1,2]. Both of these criteria have in most cases the opposite desired extreme, and in particular, it is necessary to reduce the pressure in the water system for reducing water losses.…”

Section: Introductionmentioning

confidence: 99%

“…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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“…These strategies must consider the flow variation over time in extended periods since the analysis of the long-extended period enables us to analyse the behaviour of the micro hydropower systems when the flow changes [12]. Hence, the installation of recovery systems is one of the most effective strategies to be used in places where the energy has to be dissipated (e.g., pressure reduction valves (PRVs) or hydraulic jumps [13][14][15]), with high feasibility indexes [16].…”

Section: Introductionmentioning

confidence: 99%

Optimization Strategy for Improving the Energy Efficiency of Irrigation Systems by Micro Hydropower: Practical Application

Sánchez

Sánchez‐Romero

Ramos

et al. 2017

Water

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Analyses of possible synergies between energy recovery and water management are essential for achieving sustainable advances in the performance of pressurized irrigation networks. Nowadays, the use of micro hydropower in water systems is being analysed to improve the overall energy efficiency. In this line, the present research is focused on the proposal and development of a novel optimization strategy for increasing the energy efficiency in pressurized irrigation networks by energy recovering. The recovered energy is maximized considering different objective functions, including feasibility index: the best energy converter must be selected, operating in its best efficiency conditions by variation of its rotational speed, providing the required flow in each moment. These flows (previously estimated through farmers' habits) are compared with registered values of flow in the main line with very suitable calibration results, getting a Nash-Sutcliffe value above 0.6 for different time intervals, and a PBIAS index below 10% in all time interval range. The methodology was applied to a Vallada network obtaining a maximum recovered energy of 58.18 MWh/year (41.66% of the available energy), improving the recovered energy values between 141 and 184% when comparing to energy recovery considering a constant rotational speed. The proposal of this strategy shows the real possibility of installing micro hydropower machines to improve the water-energy nexus management in pressurized systems.

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Pressure Management and Energy Recovery Capabilities Using PATs

Cited by 31 publications

References 5 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

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

Optimization Strategy for Improving the Energy Efficiency of Irrigation Systems by Micro Hydropower: Practical Application

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