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

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dc.contributor.authorOkeniyi JO
dc.contributor.authorAtayero AA
dc.contributor.authorPopoola SI
dc.contributor.authorOkeniyi ET
dc.contributor.authorAlalade GM
dc.date.accessioned2022-07-26T12:18:24Z
dc.date.available2022-07-26T12:18:24Z
dc.date.issued2018
dc.descriptionData in Brief
dc.description.abstractThis 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.
dc.identifier.citation10.1016/j.dib.2018.02.022
dc.identifier.issn2352-3409
dc.identifier.urihttps://nerd.ethesis.ng/handle/123456789/332
dc.language.isoen
dc.subjectSmart campus
dc.subjectEnergy consumption
dc.subjectEnergy efficiency
dc.subjectLoad forecasting
dc.subjectEnergy management
dc.subjectLearning analytics
dc.subjectNigerian university
dc.subjectEducation data mining
dc.titleSmart campus: Data on energy generation costs from distributed generation systems of electrical energy in a Nigerian University
dc.typeArticle
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