Prospects of ocean-based renewable energy for West Africa’s sustainable energy future

Adesanya, Ayokunle; Misra, Sanjay; Maskeliūnas, Rytis; Damaševičius, Robertas

doi:10.1108/sasbe-05-2019-0066

Cited by 14 publications

(3 citation statements)

References 32 publications

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“…Solar energy development in Nigeria is faced with a lack of enabling vision and mission for technology, fine-tuning and promoting the initiative (Haas et al , 2018). Although, the country has opportunities for solar radiation potentials, the market is still immature, and the turnout for utilisation is low (Abdullahi et al , 2017a; Adesanya et al , 2020). The Power Sector Reform Act.…”

Section: Barriers For Solar Energy Implementation In Nigeriamentioning

confidence: 99%

Barriers for implementing solar energy initiatives in Nigeria: an empirical study

Abdullahi

Renukappa

Suresh

et al. 2021

SASBE

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PurposeDespite the abundant renewable energy potential in the Nigeria, the power-sector stakeholder has not paid attention to the prospect of the natural resources that can be accrued when it is properly harnessed. Although a very negligible fraction of the population has invested in solar photovoltaics (PVs) for home solution, the initiative was only made public commercialised under the public-private partnership (PPP) and the objectives of the Power Sector Reform Act. 2005. It is, therefore, aimed to investigate the causes and insight of the barriers that are responsible for the slow implementation of the solar energy initiative in the Nigeria.Design/methodology/approachAn empirical study was performed in the Nigeria. The study was conducted qualitatively, through semi-structured face-to-face interviews of 25 participants. The interviews were recorded, transcribed, interpreted, coded, categorised into themes and analysed by content analysis.FindingsThe study reveals technological, financial, political and social barriers have been the reason for slowing down solar energy development in Nigeria. While the technical barrier is a challenge to the solar energy implementation, socio-cultural issues have also been an obstacle to the implementation process. It is suggested that, the stakeholders of the initiative endeavour to proffer sustainable policies to enable public and private promoters to be able to generate and distribute electricity through solar PV and to complement the inadequate conventional electricity sources from the grids.Originality/valueThe paper provides a richer insight into the understanding and awareness of barriers for implementing solar energy strategies in Nigeria.

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Section: Barriers For Solar Energy Implementation In Nigeriamentioning

confidence: 99%

Barriers for implementing solar energy initiatives in Nigeria: an empirical study

Abdullahi

Renukappa

Suresh

et al. 2021

SASBE

View full text Add to dashboard Cite

show abstract

“…Moreover, the authors in [19] have investigated how to achieve sustainable development by studying the impact of generating renewable energy on the economy and the environment. Similarly, they studied the use of ocean-based renewable energy for generating electrical power and analyzed the economic and environmental impacts of adopting their approach [20]. Their results have shown that the proposed approach is capable to generate the required energy in order to supply the energy demands.…”

Section: Introductionmentioning

confidence: 99%

An Eco-Friendly Approach for Reducing Carbon Emissions in Cloud Data Centers

Aldossary¹,

Alharbi²

2022

Computers, Materials &Amp; Continua

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Based on the Saudi Green initiative, which aims to improve the Kingdom's environmental status and reduce the carbon emission of more than 278 million tons by 2030 along with a promising plan to achieve netzero carbon by 2060, NEOM city has been proposed to be the "Saudi hub" for green energy, since NEOM is estimated to generate up to 120 Gigawatts (GW) of renewable energy by 2030. Nevertheless, the Information and Communication Technology (ICT) sector is considered a key contributor to global energy consumption and carbon emissions. The data centers are estimated to consume about 13% of the overall global electricity demand by 2030. Thus, reducing the total carbon emissions of the ICT sector plays a vital factor in achieving the Saudi plan to minimize global carbon emissions. Therefore, this paper aims to propose an eco-friendly approach using a Mixed-Integer Linear Programming (MILP) model to reduce the carbon emissions associated with ICT infrastructure in Saudi Arabia. This approach considers the Saudi National Fiber Network (SNFN) as the backbone of Saudi Internet infrastructure. First, we compare two different scenarios of data center locations. The first scenario considers a traditional cloud data center located in Jeddah and Riyadh, whereas the second scenario considers NEOM as a potential cloud data center new location to take advantage of its green energy infrastructure. Then, we calculate the energy consumption and carbon emissions of cloud data centers and their associated energy costs. After that, we optimize the energy efficiency of different cloud data centers' locations (in the SNFN) to reduce the associated carbon emissions and energy costs. Simulation results show that the proposed approach can save up to 94% of the carbon emissions and 62% of the energy cost compared to the current cloud physical topology. These savings are achieved due to the shifting of cloud data centers from cities that have conventional energy sources to a city that has rich in renewable energy sources. Finally, we design a heuristic algorithm to verify the proposed approach, and it gives equivalent results to the MILP model.

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“…Cities' air quality in some countries is gradually declining (Adesanya et al , 2021; Asante et al , 2016; Dash, 2021; Dobbelsteen et al , 2020; Kwong et al , 2021; Rahmouni and Smail, 2020). It is often seen that developing countries suffer from air pollution more than developed ones (Dash, 2021; Han and Keeffe, 2020; Liaros, 2020; Nguyen and Dang, 2020; Palencia et al , 2021; Rosenbaum et al , 2015; Smits, 2020; Taleb and Abumoeilak, 2021).…”

Section: Introductionmentioning

confidence: 99%

Indoor PM_2.5 concentrations of pre-schools; determining the effective factors and model for prediction

Baharfar

Mohammadyan

Moattar

et al. 2021

SASBE

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PurposeThis paper aims to present the most influential factors on classroom indoor PM2.5 (Particulate Matter < 2.5 µ), determining the level of PM2.5 concentration in five pre-schools located in the most densely populated district of the Tehran metropolitan area (district 6) as a case study to consider the children's exposure to air pollutants and introducing a suitable model, for the first time, to predict PM2.5 concentration changes, inside pre-schools.Design/methodology/approachIndoor and outdoor classes PM2.5 concentrations were measured using two DUSTTRAK direct-reading instruments. Additional class status information was also recorded; concurrently, urban PM2.5 concentrations and meteorological data were obtained from the fixed monitoring stations and Meteorological Organization. Then, the predicted concentrations of the indoor PM2.5, from introduced multiple linear regression model via SPSS, compared with the nearest urban air pollution monitoring stations data.FindingsThe average outdoor PM2.5 concentration (43 ± 0.32 µg m−3) was higher than the mean indoor (32 ± 0. 21 µg m−3), and both were significantly (p < 0.001) surpassing the 24-h EPA standard level. The indoor PM2.5 concentrations had the highest level in the autumn (48.7 µg m−3) and significantly correlated with the outdoor PM2.5 (r = 0.94, p < 0.001), the number of pupils, ambient temperature, wind speed, wind direction and open area of the doors and windows (p < 0.001). These parameters, as the main determinants, have led to present a 7-variable regression model, with R2 = 0.705, which can predict PM2.5 concentrations in the pre-school classes with more than 80% accuracy. It can be presumed that the penetration of outdoor PM2.5 was the main source of indoor PM2.5 concentrations.Research limitations/implicationsThis study faced several limitations, such as accessibility to classrooms, and limitations in technicians' numbers, leading to researchers monitoring indoor and outdoor PM concentrations in schools once a week. Additionally, regarding logistical limitations to using monitoring instruments in pre-schools simultaneously, correction factors by running the instruments were applied to obtain comparable measurements.Originality/valueThe author hereby declares that this submission is his own work and to the best of its knowledge it contains no materials previously published or written by another person.

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Prospects of ocean-based renewable energy for West Africa’s sustainable energy future

Cited by 14 publications

References 32 publications

Barriers for implementing solar energy initiatives in Nigeria: an empirical study

Barriers for implementing solar energy initiatives in Nigeria: an empirical study

An Eco-Friendly Approach for Reducing Carbon Emissions in Cloud Data Centers

Indoor PM_2.5 concentrations of pre-schools; determining the effective factors and model for prediction

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Prospects of ocean-based renewable energy for West Africa’s sustainable energy future

Cited by 14 publications

References 32 publications

Barriers for implementing solar energy initiatives in Nigeria: an empirical study

Barriers for implementing solar energy initiatives in Nigeria: an empirical study

An Eco-Friendly Approach for Reducing Carbon Emissions in Cloud Data Centers

Indoor PM2.5 concentrations of pre-schools; determining the effective factors and model for prediction

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Product

Resources

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Indoor PM_2.5 concentrations of pre-schools; determining the effective factors and model for prediction