作者: Adnan Abu-Mahfouz , Yskandar Hamam , Philip Page , Kazeem Adedeji , Amos Anele
DOI: 10.3390/W11030470
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摘要: The impact of climate change and increasing urbanisation throughout the world has forced water utility managers to increase efficiency resources. Reduction real (or physical) losses plays a crucial role in improving supply systems. Considering these challenges, it will not be enough rely only on traditional approaches solve problem losses. Therefore, more advanced techniques need developed utilized. Recently, framework for real-time dynamic hydraulic model potable loss reduction was proposed. This paper focuses mainly three major components proposed reduction, which have been recently. These are background leakage detection, pressure management, demand forecasting. A detection algorithm which, amongst others, permits localisation potential critical nodes or pipes with higher flow network where such management could performed. More so, new controllers (algorithms) perform by accurately setting pressure, using either control valve variable speed pump, constructed. In addition, is greatly affected variations, forecasting constructed aim annexing variation multi-period analysis. Thus, short-term forecast utilising Model Conditional Processor following hour associated predictive uncertainty. Although each tested independently, future work ongoing merging integration within framework.