scholarly journals On-Grid Solar PV versus Diesel Electricity Generation in Sub-Saharan Africa: Economics and GHG Emissions

2017 ◽  
Vol 9 (3) ◽  
pp. 372 ◽  
Author(s):  
Saule Baurzhan ◽  
Glenn Jenkins
2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Sándor Szabó ◽  
Irene Pinedo Pascua ◽  
Daniel Puig ◽  
Magda Moner-Girona ◽  
Mario Negre ◽  
...  

AbstractLack of access to modern forms of energy hampers efforts to reduce poverty. The provision of electricity to off-grid communities is therefore a long-standing developmental goal. Yet, many off-grid electrification projects neglect mid- and long-term operation and maintenance costs. When this is the case, electricity services are unlikely to be affordable to the communities that are the project’s primary target. Here we show that, compared with diesel-powered electricity generation systems, solar photovoltaic systems are more affordable to no less than 36% of the unelectrified populations in East Asia, South Asia, and sub-Saharan Africa. We do so by developing geo-referenced estimates of affordability at a high level of resolution (1 km2). The analysis illustrates the differences in affordability that may be found at the subnational level, which underscores that electrification investments should be informed by subnational data.


Author(s):  
Paul A. Adedeji ◽  
Stephen Akinlabi ◽  
Nkosinathi Madushele ◽  
Obafemi Olatunji

2020 ◽  
Vol 12 (15) ◽  
pp. 6223
Author(s):  
Emmanuel Wendsongre Ramde ◽  
Eric Tutu Tchao ◽  
Yesuenyeagbe Atsu Kwabla Fiagbe ◽  
Jerry John Kponyo ◽  
Asakipaam Simon Atuah

Electricity is one of the most crucial resources that drives any given nation’s growth and development. The latest Sustainable Development Goals report indicates Africa still has a high deficit in electricity generation. Concentrating solar power seems to be a potential option to fill the deficit. That is because most of the components of concentrating solar power plants are readily available on the African market at affordable prices, and there are qualified local persons to build the plants. Pilot micro-concentrating solar power plants have been implemented in Sub-Saharan Africa and have shown promising results that could be expanded and leveraged for large-scale electricity generation. An assessment of a pilot concentrating solar power plant in the sub-region noticed one noteworthy obstacle that is the failure of the tracking system to reduce the operating energy cost of running the tracking control system and improve the multifaceted heliostat focusing behavior. This paper highlights the energy situation and the current development in concentrating solar power technology research in Africa. The paper also presents a comprehensive review of the state-of-the-art solar tracking systems for central receiver systems to illustrate the current direction of research regarding the design of low-cost tracking systems in terms of computational complexity, energy consumption, and heliostat alignment accuracy.


2015 ◽  
Vol 2015 ◽  
pp. 1-10 ◽  
Author(s):  
Sambu Kanteh Sakiliba ◽  
Abubakar Sani Hassan ◽  
Jianzhong Wu ◽  
Edward Saja Sanneh ◽  
Sul Ademi

The focus of this paper is the design and implementation of solar PV deployment option, which is economical and easy to maintain for remote locations in less developed countries in Sub-Saharan Africa. The feasibility of stand-alone solar PV systems as a solution to the unstable electricity supply and as an alternative to the conventional resource, “diesel generators,” is presented. Moreover, a design of a system is carried out, such that the electrical demand and site meteorological data of a typical household in the capital, Banjul, is simulated. Likewise, the life cycle cost analysis to assess the economic viability of the system, along with the solar home performance, is also presented. Such system will be beneficial to the inhabitants of Gambia by ensuring savings in fuel costs and by reducing carbon emissions produced by generators. The selection of appropriate-sized components is crucial, as they affect the lifetime, reliability, and initial costs. The design presented in this study represents a solution for domestic houses to adopt the system according to the location and environment, in order to meet electricity demand.


Author(s):  
Ofei D. Mante

This research paper provides a regional review of the state of electricity access in Sub-Saharan Africa (SSA), focusing on installed capacity, electricity generation, the growth of renewable energy, electricity consumption, government investment, public financial flows, and several major initiatives. The study contrasts electrification between 1990 and 2010 with recent efforts and identifies countries that are consistently making progress and those that lag. The analyses show signs of progress on scaling up SSA power infrastructure and increasing electricity access, particularly in the Eastern and Western sub-regions. The installed generation capacity expanded at an average rate of 2.43 GW/year between 2005 and 2015. Renewable energy is growing, particularly solar, wind, and geothermal; about 9.7 GW of renewable energy capacity was installed between 2010 and 2016. Over this period, the net electricity generation in SSA increased at 9.1 TWh/year, more than double the historical average growth of 4.02 TWh/year (1990–2010). In general, the study found that rates of electrification across the entire region are more than twice the historical rates, and an average of at least 26 million people are now gaining access to electricity yearly. Nevertheless, progress is uneven across SSA. As of 2016, almost half of the population without electricity access live in Nigeria, DR Congo, Ethiopia, Tanzania, and Uganda. Quantitative analysis suggests that about 70 million people in SSA would have to gain access every year from 2017 to achieve universal access by 2030. Overall, SSA countries with national programs on energy access supported by policy/regulatory framework and infrastructure investment are making progress.


2020 ◽  
Author(s):  
Giacomo Falchetta ◽  
Nicolò Golinucci ◽  
Michel Noussan

<p>In sub-Saharan Africa (SSA) most people live on plant-dominated diets, with significantly lower levels of per-capita meat consumption than in any other region. Yet, economic development has nearly everywhere spurred a shift to dietary regimes with a greater consumption of meat, albeit with regional heterogeneity for meat-type and magnitude. A growing regional economy, changing cultural attitudes, and a steeply increasing population could thus push the regional demand upward in the coming decades, with significant depletion of regional and global natural resources and environmental repercussions. We study the historical association of the four main meat types with demand drivers in recently developed countries via seemingly unrelated regression (SUR) equation systems. Using the calibrated coefficients, trajectories of meat consumption in SSA to 2050 are projected relying on the SSP scenarios over GDP and population growth. Then, using a Leontiefian environmentally extended input-output (EEIO) framework exploiting the EXIOBASE3 database, we estimate the related energy, land, and water requirements, and the implied greenhouse gas (CO<sub>2</sub>, CH<sub>4</sub>, N<sub>2</sub>O) emissions. We calculate that if production to meet those consumption levels takes place in the continent – compared to the current situation – global greenhouse gas (GHG) emissions would grow by 230 Mt CO<sub>2</sub>e (4.4% of today’s global agriculture-related emissions), the land required for cropping and grazing would require additional 4.2 · 10<sup>6</sup> km<sup>2</sup> (more than half of the total arable land in SSA), total blue water consumption would rise by 10,300 Mm<sup>3</sup> (0.89% of the global total), and additional 1.2 EJ of energy (6% of today’s total primary energy demand in the region) would be required. Alternative scenarios where SSA is a net importer of final meat products are reported for comparison. The local policy and attitudes towards farming practices and dietary choices will have significant impact on both the regional environment and global GHG emissions.</p>


2019 ◽  
Vol 11 (23) ◽  
pp. 6811 ◽  
Author(s):  
Kganyago ◽  
Shikwambana

Globally, wildfires are considered the most commonly occurring disasters, resulting from natural and anthropogenic ignition sources. Wildfires consist of burning standing biomass at erratic degrees of intensity, severity, and frequency. Consequently, wildfires generate large amounts of smoke and other toxic pollutants that have devastating impacts on ambient air quality and human health. There is, therefore, a need for a comprehensive study that characterizes land–atmosphere interactions with regard to wildfires, critical for understanding the interrelated and multidimensional impacts of wildfires. Current studies have a limited scope and a narrow focus, usually only focusing on one aspect of wildfire impacts, such as air quality without simultaneously considering the impacts on land surface changes and vice versa. In this study, we use several multisource data to determine the spatial distribution, frequency, disturbance characteristics of and variability and distribution of pollutants emitted by wildfires. The specific objectives were to (1) study the sources of wildfires and the period they are prevalent in sub-Saharan Africa over a 9 year period, i.e., 2007–2016, (2) estimate the seasonal disturbance of wildfires on various vegetation types, (3) determine the spatial distribution of black carbon (BC), carbon monoxide (CO) and smoke, and (4) determine the vertical height distribution of smoke. The results show largest burned areas in December–January–February (DJF), June–July–August (JJA) and September–October–November (SON) seasons, and reciprocal high emissions of BC, CO, and smoke, as observed by Modern-Era Retrospective Analysis for Research and Applications version 2 (MERRA-2) and Cloud-Aerosol Lidar and Infrared Pathfinder Satellite Observations (CALIPSO). In addition, the results reveal an increasing trend in the magnitude of BC, and CO concentration driven by meteorological conditions such as low precipitation, low relative humidity, and low latent heat flux. Overall, this study demonstrates the value of multisource remotely sensed data in characterising long-term wildfire patterns and associated emissions. The results in this study are critical for informing better regional fire management and air quality control strategies to preserve endangered species and habitats, promote sustainable land management, and reduce greenhouse gases (GHG) emissions.


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