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Comparative Analysis for Prediction of ElectricalPower Demand of Bayelsa State (Nigeria) byYear 2025

机译:到2025年预测Bayelsa州(尼日利亚)的电力需求的比较分析

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This work predicts the peak electrical load demand consumption of Bayelsa State by the year 2025. The data of electrical load allocation and utilization of power consumption of the State in the past five (5) years (2006-2010) were extracted from control room log sheets of Power Holding Company of Nigeria (PHCN) and Kolo Creek Gas Turbine Power Station (Glory Power Company Ltd) for the comparative analysis. Population growth rate for the state as well as Master plan by the Capital City Development Authority were also used. The loads for the analysis were divided into the following categories: domestic, commercial, industrial and electrical load consumed by government agencies. Various improved engineering analysis models and applications including calculations, diagrams and graphs were reviewed and applied to justify the study; the Study revealed that Second-Order Polynomial Model gives the best fit because it gives the least error of 0.66 and provides a good approximation to the shape of f(x) function which describes the trend of the electrical power demand distribution in Bayelsa State.
机译:这项工作预测了到2025年Bayelsa州的用电需求高峰。从控制室日志中提取过去五(5)年(2006-2010年)的州用电负荷分配和用电量数据。尼日利亚电力控股公司(PHCN)和科洛溪燃气轮机电站(Glory Power Company Ltd)的纸页进行比较分析。还使用了州的人口增长率以及首都城市发展局的总体规划。用于分析的负载分为以下几类:政府机构消耗的家庭,商业,工业和电力负载。审查并改进了各种改进的工程分析模型和应用程序,包括计算,图表和图形,以证明研究的合理性;该研究表明,二阶多项式模型具有最佳的拟合度,因为它给出的误差最小,为0.66,并且可以很好地逼近f(x)函数的形状,该函数描述了Bayelsa州的电力需求分布趋势。

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