Solar electricity generation: issues of development and impact on ICT implementation in Africa

2013 ◽  
Vol 31 (1) ◽  
pp. 46-62 ◽  
Author(s):  
Damasen Ikwaba Paul ◽  
James Uhomoibhi

Purpose – The purpose of this paper is to examine and discuss, in-depth, how solar electricity can be developed and used to tackle grid electricity-related problems in African countries suffering from unreliable and inadequate grid electricity. Design/methodology/approach – The paper discusses in depth the current status of grid electricity in Africa continent and suggested solar electricity as an alternative cost-effective method to the existing grid electricity problem in remote areas. An extensive analysis of the major contribution of solar electricity in various sectors such as economic, health, communication, social and environmental benefits is provided. The paper concludes with a discussion on how solar power generation can be developed. Findings – The paper shows that in developed countries where ICT has been applied extensively, ICT offers increased opportunities for sustainable economic development and plays a critical role in rapid economic growth, productive capacity improvements, education, government, agriculture and international competitiveness enhancement. The paper has pointed out that ICT has yet to make significant impact in most African countries due to lack of reliable and adequate electricity. Solar electricity has been seen as the most cost-effective way of generating electricity, especially in remote rural areas, for ICT devices. For the widespread of solar power generation in Africa, various strategies have been identified which include training of qualified solar engineers and technicians, establishing PV markets and business modes, introduction of solar energy education in schools and universities, political leaders appreciating solar electricity as one of the major energy component, lowering initial cost of the PV technology, availability of finance mechanisms for rural communities, import tax exemption and African countries regarding rural electricity as one of the basic needs. Practical implications – The paper shows that the problems of lack of qualified solar technicians and established PV markets and business modes (especially in remote areas), lack of solar energy education in schools have to be addressed before the benefits of ICT in Africa can be seen. Other issues include African countries appreciating solar electricity as one of the major energy component, lowering initial cost of the PV technology, availability of finance mechanisms for customers, import tax exemption and African countries regarding rural electricity as one of the basic needs like food, shelter and clothing. Overhaul of existing systems needs to take place in order to provide the means to deal with some of these issues. Originality/value – Availability of reliable electrical energy remains crucial for development of ICT in rural African countries. Solar electricity is clearly one of the most promising prospects to the grid electricity problem in African countries because most African countries lie in the sunshine belt. The paper raises awareness about this in a unique way and suggests some novel measures about increasing the availability of solar systems for solar power generation. It is anticipated that the increases in solar power generation, especially in remote areas, will increase the use and application of ICT in various sectors.

Energies ◽  
2021 ◽  
Vol 14 (22) ◽  
pp. 7770
Author(s):  
Joshuva Arockia Dhanraj ◽  
Ali Mostafaeipour ◽  
Karthikeyan Velmurugan ◽  
Kuaanan Techato ◽  
Prem Kumar Chaurasiya ◽  
...  

The world’s energy consumption is outpacing supply due to population growth and technological advancements. For future energy demands, it is critical to progress toward a dependable, cost-effective, and sustainable renewable energy source. Solar energy, along with all other alternative energy sources, is a potential renewable resource to manage these enduring challenges in the energy crisis. Solar power generation is expanding globally as a result of growing energy demands and depleting fossil fuel reserves, which are presently the primary sources of power generation. In the realm of solar power generation, photovoltaic (PV) panels are used to convert solar radiation into energy. They are subjected to the constantly changing state of the environment, resulting in a wide range of defects. These defects should be discovered and remedied as soon as possible so that PV panels efficiency, endurance, and durability are not compromised. This paper focuses on five aspects, namely, (i) the various possible faults that occur in PV panels, (ii) the online/remote supervision of PV panels, (iii) the role of machine learning techniques in the fault diagnosis of PV panels, (iv) the various sensors used for different fault detections in PV panels, and (v) the benefits of fault identification in PV panels. Based on the investigated studies, recommendations for future research directions are suggested.


2021 ◽  
Vol 11 (4) ◽  
pp. 1776
Author(s):  
Young Seo Kim ◽  
Han Young Joo ◽  
Jae Wook Kim ◽  
So Yun Jeong ◽  
Joo Hyun Moon

This study identified the meteorological variables that significantly impact the power generation of a solar power plant in Samcheonpo, Korea. To this end, multiple regression models were developed to estimate the power generation of the solar power plant with changing weather conditions. The meteorological data for the regression models were the daily data from January 2011 to December 2019. The dependent variable was the daily power generation of the solar power plant in kWh, and the independent variables were the insolation intensity during daylight hours (MJ/m2), daylight time (h), average relative humidity (%), minimum relative humidity (%), and quantity of evaporation (mm). A regression model for the entire data and 12 monthly regression models for the monthly data were constructed using R, a large data analysis software. The 12 monthly regression models estimated the solar power generation better than the entire regression model. The variables with the highest influence on solar power generation were the insolation intensity variables during daylight hours and daylight time.


2021 ◽  
Vol 1879 (3) ◽  
pp. 032070
Author(s):  
Fadhil Mahmood Oleiwi ◽  
Naseer K. Kasim ◽  
Ahmed F. Atwan

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