A prerequisite for achieving high energy efficiency of water supply systems (understood as using less energy to perform the same task) is the appropriate selection of all elements and their rational use. Energy consumption in water supply systems (WSS) is closely connected with water demand. Especially in the case of oversized water supply systems for which consumers’ water demand is at least 50% less than previously planned and flow velocity in some parts of the system is below 0.01 m·s−1, this problem of excessive energy consumption can be observed. In the literature, it is difficult to find descriptions and methods of energy management for such a case. The purpose of this study was both an evaluation of the current demand of an oversized WSS and a preliminary technical analysis of the possibility for energy saving. Solutions are presented that resulted in improvements in energy management, thus increasing energy efficiency. The conducted analyses indicate the wide use of numerical, hydraulic models, among others, for the needs of the sustainable oversize water supply systems management in order to improve energy efficiency. Those simulations only give energy consumption results as a first step in the process of decision-making for the modernization process, in which investment costs should be taken into account as a second step. Thus, this paper emphasizes the crucial role of hydraulic models as a good analytical tool used in decision support systems (DSS), especially for large, oversized water supply systems.
The paper deals with the evaluation of distribution system reliability parameters. Knowledge of the component reliability parameters in power networks is necessary for the reliability analyses and also for maintenance optimization systems. Component reliability parameters are possible to retrieve only with accurate databases of distribution system operators. Such a database includes records of outages and interruptions in electrical systems. Quite a big problem for a querying of these databases is that databases of various operators differ from one another. It is impossible to get reliability parameters from this data without preprocessing. This paper describes a framework which enables the retrieval of parameters from various databases. There are also actual results.
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