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Construction of the Energy Baseline of the Pumping Station of Water Supply Taking into Consideration Cyclic Changes in Water Consumption

机译:考虑用水量周期性变化的供水泵站能量基准线的构建

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The article deals with the issues of construction the mathematical dependence of the pumping station's power consumption on the relevant variables based on the experimental data for determining the energy baseline that is adapted to changes in the production process. Structural-parametric identification of the power consumption model of the pumping station is accomplished using the combinatorial algorithm of the group method of data handling. This allows receiving candidate-models set, each of which is the best in its basic functions class, for each typical day of each season. The selection of a better structure of the power consumption model is realized based on the criteria for its adequacy (regularity, translation minimum, Schwartz, determination coefficient) and accuracy of the forecast using the morphological criterion. As a result, a structured multifactor model of power consumption is constructed. This model is adapted to the water supply regime for a typical day type of the appropriate season. The developed power consumption models allow taking into consideration the actual conditions of the pumping station functioning caused by the influence of seasonal and social factors. They take into consideration the cyclic changes of the technological process in accordance with the requirements of the ISO 50000 standards series. This allows determining the energy baseline for a specific time interval.
机译:本文讨论了有关泵站能耗与相关变量之间的数学依赖关系的构造问题,这些变量基于实验数据确定适合生产过程变化的能源基准。泵站功耗模型的结构参数识别是使用数据处理分组方法的组合算法完成的。这样可以在每个季节的每个典型日接收候选模型集,每个候选模型在其基本功能类别中都是最好的。基于功耗模型的适当性(规则性,平移最小值,Schwartz,确定系数)和使用形态学准则的预测准确性的标准,可以实现对功耗模型更好结构的选择。结果,构造了功耗的结构化多因素模型。该模型适用于相应季节的典型日间供水方式。开发的功耗模型可以考虑到泵站运行的实际条件,这些条件是由于季节和社会因素的影响而造成的。他们考虑了根据ISO 50000标准系列要求的工艺流程的周期性变化。这允许确定特定时间间隔的能量基线。

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