Development of energy demand and carbon emission dataset for Nile University of Nigeria

Zarma, Tahir A.; Micheal, Paul O.; Galadima, Ahmadu A.; Karataev, Tologon; Adeleke, Adekunle; Oghorada, Oghenewvogaga; Suleiman, Hussein U.

doi:10.1016/j.dib.2023.109347

Cited by 1 publication

(5 citation statements)

References 7 publications

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“…In this section, analysis of the data in [23] was carried out and was used to design the load forecast and sizing model for Nile university. This makes the work unique in its entirety as there no previous models developed for the Nile University campus.…”

Section: Resultsmentioning

confidence: 99%

“…Furthermore, because the data in [23] comprised of 8 months data. In this paper the whole year-round data was obtained.…”

Section: Resultsmentioning

confidence: 99%

“…A summary of literatures consulted while conducting this research are presented in Table 1. The energy system reported in [23] is considered and analyzed in this paper. The major components are the power generating sources, which are the On-grid PV system, four synchronized diesel generators, and public utility grid.…”

Section: Literature Reviewmentioning

confidence: 99%

“…The mathematical modeling and electrical characteristic of PV cells have been described in [21][22][23][24][25][26][27][28]. The complete power circuit of the PV cell model consists of a current source, a shunt diode, and resistances associated with the series and shunt lines [28].…”

Section: Sizing Of a Pv Microgrid Systemmentioning

confidence: 99%

“…Arial view of the Roof-top PV Solar System [23] Figure 6 Overall System Structure Mean square error of the model.…”

Section: Declarationsmentioning

confidence: 99%

See 4 more Smart Citations

A Novel Load Forecast, and Sizing Model of a Hybrid PV-Hydroelectric Microgrid System Using Python

Zarma,

Galadima,

Karataev

et al. 2024

Preprint

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Conventional sources of energy have played major in burning diesel, petrol into carbon dioxide. Carbon and greenhouse emissions have immensely contributed toward global warming and thus face global criticism from environmental activists and the UN agencies. Therefore, it became imperative to reduce or cut these emissions. Renewable energy systems have over the years gained attention from researchers and environmentalists due to their clean nature. Thus, they are emission free and reduce the reduction of carbon emissions. Furthermore, the size of the energy system depends on the energy demand required by the load. In the foregoing, the demand of Nile university for one year was obtained weekly. Furthermore, a load forecasting model was developed using python for the prediction of the energy demand. An average model accuracy of 98% was obtained. However, the campus uses four synchronized generators as energy sources coupled with a grid-tied PV/solar system and a public utility energy grid. The greenhouse emissions because of using these generators was determined. Using an energy content factor (EC) of 38.6 GJ/kL and an emission factor (EF) of 69.5Kg CO2 -e per GJ the greenhouse gas emission is obtained as 21,008.22 tones. Similarly, the carbon saved from using the grid-tied solar system is obtained at 202.96 tones. Therefore, the need for replacing the generators with a renewable energy system is obvious. Hence, to reduce the carbon emissions by the diesel generators used by the campus, a hydroelectric energy system was sized based on existing models. A best- and worst-case scenarios were modelled and obtained. Results have shown that the River/Stream of water passing through Nile has potentials that can be harnessed to curb the issues of emission.

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Section: Resultsmentioning

confidence: 99%

“…Furthermore, because the data in [23] comprised of 8 months data. In this paper the whole year-round data was obtained.…”

Section: Resultsmentioning

confidence: 99%

Section: Literature Reviewmentioning

confidence: 99%

Section: Sizing Of a Pv Microgrid Systemmentioning

confidence: 99%

“…Arial view of the Roof-top PV Solar System [23] Figure 6 Overall System Structure Mean square error of the model.…”

Section: Declarationsmentioning

confidence: 99%

See 3 more Smart Citations

A Novel Load Forecast, and Sizing Model of a Hybrid PV-Hydroelectric Microgrid System Using Python

Zarma,

Galadima,

Karataev

et al. 2024

Preprint

Self Cite

View full text Add to dashboard Cite

show abstract

Development of energy demand and carbon emission dataset for Nile University of Nigeria

Cited by 1 publication

References 7 publications

A Novel Load Forecast, and Sizing Model of a Hybrid PV-Hydroelectric Microgrid System Using Python

A Novel Load Forecast, and Sizing Model of a Hybrid PV-Hydroelectric Microgrid System Using Python

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