Okeniyi Joshua O, Atayero Aderemi A, Popoola Segun I, Okeniyi Elizabeth T, Alalade Gbenga M
Mechanical Engineering Department Covenant University, Ota, Nigeria.
Chemical, Metallurgical and Materials Engineering Department, Tshwane University of Technology, Pretoria, South Africa.
Data Brief. 2018 Feb 16;17:1082-1090. doi: 10.1016/j.dib.2018.02.022. eCollection 2018 Apr.
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.
本文献展示了尼日利亚奥塔市考文垂大学（一所由信息通信技术驱动的智慧大学校园）中燃气轮机和分布式发电类型的柴油动力系统的电能发电成本比较。记录了2017年1月至12月期间这两种发电模式在靠近能源消耗社区的地点所产生的、供该机构使用的电能发电成本的累计月度数据。其中，燃气轮机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该发电模式的维护成本数据。这些以表格和图表形式呈现的发电成本数据采用描述性概率分布和统计显著性拟合优度检验作为数据详述和比较的方法。这些发电成本数据中的信息细节有助于推动研究发展，并协助能源利益相关者和决策者制定有关发电模式的政策、进行成本核算方面的经济评估以及实现节能/智慧教育环境的管理。
