scholarly journals Predicting and quantifying the effect of variations in long-term water demand on micro-hydropower energy recovery in water supply networks

2016 ◽  
Vol 14 (7) ◽  
pp. 676-684 ◽  
Author(s):  
Lucy Corcoran ◽  
Aonghus McNabola ◽  
Paul Coughlan
2015 ◽  
Vol 2015 ◽  
pp. 1-13 ◽  
Author(s):  
Alberto Martini ◽  
Marco Troncossi ◽  
Alessandro Rivola

The implementation of strategies for controlling water leaks is essential in order to reduce losses affecting distribution networks of drinking water. This paper focuses on leak detection by using vibration monitoring techniques. The long-term goal is the development of a system for automatic early detection of burst leaks in service pipes. An experimental campaign was started to measure vibrations transmitted along water pipes by real burst leaks occurring in actual water supply networks. The first experimental data were used for assessing the leak detection performance of a prototypal algorithm based on the calculation of the standard deviation of acceleration signals. The experimental campaign is here described and discussed. The proposed algorithm, enhanced by means of proper signal filtering techniques, was successfully tested on all monitored leaks, thus proving effective for leak detection purpose.


2013 ◽  
Vol 13 (2) ◽  
pp. 552-560 ◽  
Author(s):  
Lucy Corcoran ◽  
Paul Coughlan ◽  
Aonghus McNabola

The supply and treatment of water is a highly energy intensive process, resulting in large amounts of greenhouse gas emissions as well as incurring large economic costs. Both governments and water service providers worldwide recognise the need for more sustainable water supply systems. In recent years, the use of hydropower turbines within water supply networks has been shown as a viable option for electricity generation. Energy can be recovered in water supply networks at locations of excessively high flow or pressure without loss in the level of service to consumers. The control of pressure to prevent burst pipes and to maintain a reliable water supply service is a top priority for water service providers. This paper presents the results of an analysis of the potential of hydropower energy recovery within water distribution systems in the UK and Ireland. Pressure and flow data were analysed to determine the extent of the potential for energy recovery. The effect of flow rate variation on turbine selection and efficiency was investigated, as well as investment payback period. It was concluded that the sustainability of water supply can be improved through the implementation of small-scale hydropower turbines within water supply networks.


2018 ◽  
Vol 117 ◽  
pp. 404-413 ◽  
Author(s):  
Gustavo Meirelles Lima ◽  
Bruno Melo Brentan ◽  
Edevar Luvizotto

2019 ◽  
Vol 26 (1) ◽  
pp. 101-118
Author(s):  
Maciej Potyralla

Abstract Modeling of the loads of water supply networks and their subsequent forecasting is an element necessary for making optimum decisions in the process of planning the development and operation of the water supply networks. The results of this modeling are decisive for the selection of the diameters of the pipelines and their arrangement on the water demand area. This study presents the results of estimation of average values of loads for the selected investment variants. The aim of the article is to present the possibility of simulations and analyses of the geostatistical interpolation methods. Data input in the model regarded the fragment of the real water supply network administered by the Municipal Water and Sewerage Company in Warszawa. Results of the computer analyses for the presented investment variants were related to the operating data of the water supply network and the data on water demand for the years 2014-2017 and 2018-2025. The aim of this paper is to present the advantages of GIS for the water supply systems and to prove that using the appropriate IT system, with provision of proper data processing, may lead to decisions which are optimum in view of the established, often very complex criteria.


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