Cargando…

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

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). Cumulati...

Descripción completa

Detalles Bibliográficos
Autores principales: Okeniyi, Joshua O., Atayero, Aderemi A., Popoola, Segun I., Okeniyi, Elizabeth T., Alalade, Gbenga M.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5988414/
https://www.ncbi.nlm.nih.gov/pubmed/29876465
http://dx.doi.org/10.1016/j.dib.2018.02.022
_version_ 1783329278583111680
author Okeniyi, Joshua O.
Atayero, Aderemi A.
Popoola, Segun I.
Okeniyi, Elizabeth T.
Alalade, Gbenga M.
author_facet Okeniyi, Joshua O.
Atayero, Aderemi A.
Popoola, Segun I.
Okeniyi, Elizabeth T.
Alalade, Gbenga M.
author_sort Okeniyi, Joshua O.
collection PubMed
description 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.
format Online
Article
Text
id pubmed-5988414
institution National Center for Biotechnology Information
language English
publishDate 2018
publisher Elsevier
record_format MEDLINE/PubMed
spelling pubmed-59884142018-06-06 Smart campus: Data on energy generation costs from distributed generation systems of electrical energy in a Nigerian University Okeniyi, Joshua O. Atayero, Aderemi A. Popoola, Segun I. Okeniyi, Elizabeth T. Alalade, Gbenga M. Data Brief Engineering 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. Elsevier 2018-02-16 /pmc/articles/PMC5988414/ /pubmed/29876465 http://dx.doi.org/10.1016/j.dib.2018.02.022 Text en © 2018 The Authors http://creativecommons.org/licenses/by/4.0/ This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Engineering
Okeniyi, Joshua O.
Atayero, Aderemi A.
Popoola, Segun I.
Okeniyi, Elizabeth T.
Alalade, Gbenga M.
Smart campus: Data on energy generation costs from distributed generation systems of electrical energy in a Nigerian University
title Smart campus: Data on energy generation costs from distributed generation systems of electrical energy in a Nigerian University
title_full Smart campus: Data on energy generation costs from distributed generation systems of electrical energy in a Nigerian University
title_fullStr Smart campus: Data on energy generation costs from distributed generation systems of electrical energy in a Nigerian University
title_full_unstemmed Smart campus: Data on energy generation costs from distributed generation systems of electrical energy in a Nigerian University
title_short Smart campus: Data on energy generation costs from distributed generation systems of electrical energy in a Nigerian University
title_sort smart campus: data on energy generation costs from distributed generation systems of electrical energy in a nigerian university
topic Engineering
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5988414/
https://www.ncbi.nlm.nih.gov/pubmed/29876465
http://dx.doi.org/10.1016/j.dib.2018.02.022
work_keys_str_mv AT okeniyijoshuao smartcampusdataonenergygenerationcostsfromdistributedgenerationsystemsofelectricalenergyinanigerianuniversity
AT atayeroaderemia smartcampusdataonenergygenerationcostsfromdistributedgenerationsystemsofelectricalenergyinanigerianuniversity
AT popoolaseguni smartcampusdataonenergygenerationcostsfromdistributedgenerationsystemsofelectricalenergyinanigerianuniversity
AT okeniyielizabetht smartcampusdataonenergygenerationcostsfromdistributedgenerationsystemsofelectricalenergyinanigerianuniversity
AT alaladegbengam smartcampusdataonenergygenerationcostsfromdistributedgenerationsystemsofelectricalenergyinanigerianuniversity