Optimal Pump Scheduling for Urban Drainage under Variable Flow Conditions

Abstract

The paper is focused on the optimal scheduling of a drainage pumping station, complying with variations in the pump rotational speed and a recurrent pattern for the inflow discharge. The paper is structured in several consecutive steps. In the first step, the experimental set-up is described and results of calibration tests on different pumping machines are presented to obtain equations linking significant variables (discharge, head, power, efficiency). Then, those equations are utilized to build a mixed-integer optimization model able to find the scheduling solution that minimizes required pumping energy. The model is solved with respect to a case study referred to a urban drainage system in Naples (Italy) and optimization results are analysed to provide insights on the algorithm computational performance and on the influence of pumping machine characteristics on the overall efficiency savings. With reference to the simulated scenarios, an average value of 32% energy can be saved with an optimized control. Its actual value depends on the hydraulic characteristics of the system.

Energy Transfer from the Freshwater to the Wastewater Network Using a PAT-Equipped Turbopump

“…Furthermore, in order to evaluate the water tank cost, C tank 2,W , the computation of the preliminary tank volume is required. The volume has been calculated by Equation (A3) [15]:…”

“…Sustainable growth [8] in this sector could be achieved through several strategies, which aim at an optimal management of water distribution networks. For example, optimal pump scheduling, in both clean water [10][11][12] and drainage [13][14][15][16] pumping systems has been shown to improve energy efficiency. In particular, a recent study [15] showed that an optimal pump scheduling in a drainage system can ensure an average value of recovered energy up to 32%.…”

“…For example, optimal pump scheduling, in both clean water [10][11][12] and drainage [13][14][15][16] pumping systems has been shown to improve energy efficiency. In particular, a recent study [15] showed that an optimal pump scheduling in a drainage system can ensure an average value of recovered energy up to 32%. It has recently been shown [17] that supplying a reservoir located upstream of a water network and dissipating the excess energy using a hydropower turbine is likely to be preferred over pumping directly to the network, depending on the characteristics of the hydraulic system.…”

Enhanced Water Demand Analysis via Symbolic Approximation within an Epidemiology-Based Forecasting Framework

“…Water demand forecasting is of paramount importance for water supply planning and operation, to ensure continuous service at suitable levels of quantity and pressure. Accurate water demand models are thereby key for approaching intelligent asset management of such physical assets as pumps, valves and water-meters [1][2][3]. Also, thanks to deeper understanding of water demand, it is possible to better propose near real-time operation of urban water supply.…”

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