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Water Distribution System Hydraulic Model Calibration and System Evaluation Report <br /> Chapter 4 – Water Demand Allocation <br /> December 2019 <br /> <br /> <br />P05049-2019-000 Page 12 <br /> <br />4.2 Diurnal Demand Pattern <br />Water usage for the City of Arden Hills is unsteady due to continuous fluctuations in the water <br />demand throughout the day. The temporal changes in water usage typically follow a similar <br />cycle over a 24-hour period. This cycle is referred to as a diurnal demand pattern. It should be <br />noted that in addition to fluctuations at varying times throughout the day, diurnal patterns are <br />also impacted by seasonal and climatic conditions (winter vs. summer, precipitation events, <br />etc.). Large water users such as industrial or commercial businesses can also have an impact <br />on diurnal demand patterns. <br />In June 2017, AE2S developed a water distribution hydraulic model for the City of Roseville. <br />Since the Roseville and Arden Hills water distribution systems are linked together, the diurnal <br />demand pattern that was developed analyzed Roseville and Arden Hills as one system. The <br />process for determining the diurnal demand pattern is described in the excerpt below from <br />section 4.2 of the Roseville Water Distribution System Hydraulic Model Calibration and <br />System Evaluation Report. Rather than reiterate this process, the same diurnal demand pattern <br />from the Roseville model was projected onto the Arden Hills model using updated demand <br />data. <br />The system-wide diurnal demand curves for Roseville’s water distribution system were <br />constructed by using the flow balance technique. For a water distribution system, a <br />flow balance simply indicates that the water that enters the distribution system must be <br />equal to the water that exits the distribution system. The demand for Roseville’s water <br />distribution system is equal to the Booster Station flow rate plus or minus the flow into <br />or out of the water storage facilities. A flow balance was performed from Booster <br />Station pumping and water storage level readings from the SCADA system collected in <br />five-minute increments. The data was then averaged into hourly increments to define <br />the diurnal pattern over the entire day for the entire distribution system. <br />Diurnal demand patterns were prepared for each day during the fire flow testing period <br />and the extended pressure testing period from June 16th through June 22nd, 2017, as will <br />be described later. From these patterns, an average day diurnal demand pattern was <br />developed and is illustrated in Figure 4-1. <br />The time step for the diurnal pattern used in the model was one hour. Although a smaller <br />time step could be used, it is not recommended because small errors in water tower <br />levels on time steps shorter than one hour can lead to large errors in water use <br />calculations. The diurnal demand patterns were incorporated into the model and used <br />in conjunction with the field data to assist in the calibration of the hydraulic model. The <br />average day and maximum day diurnal demand curves are presented in Figure 4-2. <br />