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Smart campus: Data on energy generation costs from distributed generation systems of electrical energy in a Nigerian University

机译:智能校园:尼日利亚大学分布式发电系统的发电成本数据

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This data article presents comparisons of energy generation costs from gas-fired turbine and diesel-powered systems of distributed generation type of electrical energy in Covenant University, Ota, Nigeria, a smart university campus driven by Information and Communication Technologies (ICT). Cumulative monthly data of the energy generation costs, for consumption in the institution, from the two modes electric power, which was produced at locations closed to the community consuming the energy, were recorded for the period spanning January to December 2017. By these, energy generation costs from the turbine system proceed from the gas-firing whereas the generation cost data from the diesel-powered generator also include data on maintenance cost for this mode of electrical power generation. These energy generation cost data that were presented in tables and graphs employ descriptive probability distribution and goodness-of-fit tests of statistical significance as the methods for the data detailing and comparisons. Information details from this data of energy generation costs are useful for furthering research developments and aiding energy stakeholders and decision-makers in the formulation of policies on energy generation modes, economic valuation in terms of costing and management for attaining energy-efficient/smart educational environment.
机译:本数据文章介绍了尼日利亚奥塔市约克大学(由信息和通信技术(ICT)驱动的智能大学校园)的燃气轮机和柴油动力分布式发电类型的系统的发电成本比较。记录了2017年1月至2017年12月期间在不靠近消耗能源的社区的地点生产的两种模式电力中机构消耗的能源产生成本的每月累积数据。涡轮系统的发电成本来自燃气燃烧,而柴油发电机的发电成本数据还包括有关这种发电方式的维护成本的数据。表格和图表中显示的这些发电成本数据采用描述性概率分布和具有统计意义的拟合优度检验作为数据详细信息和比较的方法。能源成本数据中的信息详细信息对于促进研究发展,帮助能源利益相关者和决策者制定能源模式,经济成本评估和实现节能/智能教育环境管理方面的决策者很有用。

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