scholarly journals EVALUATING THE POTENTIAL FOR LOW ENERGY EMITTERS TO FACILITATE SOLAR-POWERED DRIP IRRIGATION IN SUB-SAHARAN AFRICA

2020 ◽  
Vol 1 ◽  
pp. 2177-2186
Author(s):  
G. Van de Zande ◽  
S. Amrose ◽  
A. G. Winter

AbstractIntroducing irrigation to smallholder farms in Sub-Saharan Africa (SSA) can increase food security, improve nutrition, and reduce poverty. To explore the possibility of using drip irrigation on smallholder farms in SSA, we introduce a feasibility study that views the design space from both a user-centered lens, explaining how drip might be successful in the future, and from an engineering lens. With a first-order model, we compare estimated capital costs of drip and sprinkler systems for various farm profiles and show that drip has the potential to be a viable technology for many farms in SSA.

2018 ◽  
Vol 144 (7) ◽  
pp. 05018003 ◽  
Author(s):  
Eric Oppong Danso ◽  
Thomas Atta-Darkwa ◽  
Finn Plauborg ◽  
Edward Benjamin Sabi ◽  
Yvonne Kugblenu-Darrah ◽  
...  

2020 ◽  
Vol 12 (8) ◽  
pp. 3280 ◽  
Author(s):  
Chindo Sulaiman ◽  
A.S. Abdul-Rahim

This study estimates the impact of wood fuel consumption on economic growth in 19 sub-Saharan African countries over the 1979-2017 period. The study employs dynamic macro-panel estimators, which comprises pooled mean group (PMG), mean group (MG), and dynamic fixed effects (DFE). The estimated result reveals that PMG is the most efficient estimator among the three estimators based on the Hausman h-test. The results from PMG model reveal that wood fuel consumption has significant negative impact on economic growth. Also, when an interaction term between labor and wood fuel consumption was included in the model and estimated, the coefficient of wood fuel consumption yields negative and significant coefficient. This suggests that the interaction term has a negative and significant effect on economic growth. These results unveil that wood fuel consumption negatively and significantly affect economic growth, both directly and indirectly. The policy recommendations from this study are as follows: (1) Governments of these countries should provide adequate and affordable modern fuels to the populace; especially rural dwellers to decrease the use of wood fuel for cooking and heating (2) policy makers should intensify awareness campaign on the risk and danger wood fuel poses to economic growth so as to discourage its use and (3) policy makers should provide adequate solar powered stoves and solar-powered room heaters as cheap substitutes to the use of wood fuel for cooking and heating. These recommendations will assist in negating the negative effects of wood fuel consumption on economic growth of the region.


2017 ◽  
Vol 14 (1) ◽  
pp. 187-202 ◽  
Author(s):  
David Pelster ◽  
Mariana Rufino ◽  
Todd Rosenstock ◽  
Joash Mango ◽  
Gustavo Saiz ◽  
...  

Abstract. Few field studies examine greenhouse gas (GHG) emissions from African agricultural systems, resulting in high uncertainty for national inventories. This lack of data is particularly noticeable in smallholder farms in sub-Saharan Africa, where low inputs are often correlated with low yields, often resulting in food insecurity as well. We provide the most comprehensive study in Africa to date, examining annual soil CO2, CH4 and N2O emissions from 59 smallholder plots across different vegetation types, field types and land classes in western Kenya. The study area consists of a lowland area (approximately 1200 m a.s.l.) rising approximately 600 m to a highland plateau. Cumulative annual fluxes ranged from 2.8 to 15.0 Mg CO2-C ha−1, −6.0 to 2.4 kg CH4-C ha−1 and −0.1 to 1.8 kg N2O-N ha−1. Management intensity of the plots did not result in differences in annual GHG fluxes measured (P = 0.46, 0.14 and 0.67 for CO2, CH4 and N2O respectively). The similar emissions were likely related to low fertilizer input rates (≤ 20 kg N ha−1). Grazing plots had the highest CO2 fluxes (P = 0.005), treed plots (plantations) were a larger CH4 sink than grazing plots (P = 0.05), while soil N2O emissions were similar across vegetation types (P = 0.59). This study is likely representative for low fertilizer input, smallholder systems across sub-Saharan Africa, providing critical data for estimating regional or continental GHG inventories. Low crop yields, likely due to low fertilization inputs, resulted in high (up to 67 g N2O-N kg−1 aboveground N uptake) yield-scaled emissions. Improvement of crop production through better water and nutrient management might therefore be an important tool in increasing food security in the region while reducing the climate footprint per unit of food produced.


2015 ◽  
Vol 134 ◽  
pp. 107-118 ◽  
Author(s):  
Diego Valbuena ◽  
Sabine Homann-Kee Tui ◽  
Olaf Erenstein ◽  
Nils Teufel ◽  
Alan Duncan ◽  
...  

2020 ◽  
Vol 82 (12) ◽  
pp. 2776-2785
Author(s):  
N. M. Offiong ◽  
Y. Wu ◽  
F. A. Memon

Abstract There is a growing need to sustain solar-powered water taps in most parts of the sub-Saharan Africa. The frequent failure of the water taps gives rise to intermittent water supply and poor service delivery by the water service providers. The challenge is to foresee and predict the failure of these water systems before they occur. This study develops a scalable machine-learning model for failure prediction in electronic water taps to ensure timely maintenance of the taps. Specifically, we develop a model based on long short-term memory (LSTM) to efficiently make failure predictions with noisy heterogeneous time-series data from rural water taps. Results from the experiment prove that the proposed model can effectively classify activities and patterns in various time-series datasets. With the proposed model, the failures of the solar-powered taps due to abnormal events can be successfully predicted well in advance, with an accuracy of 78.54%. Based on the data analyses, common causes of failures are presented.


2021 ◽  
Author(s):  
Alessandro Amaranto ◽  
Andrea Castelletti

<p>With more than 200 dams currently under construction in the Sub-Saharan region, hydropower is expected to dominate the African renewable energy market in the coming decades. Even though the construction of new dams has been widely recognized as a key factor in promoting energy security, damming rivers also augments the volume of stagnant water, inevitably enhancing the transmission of malaria by creating new vector breeding habitats. The interdependence between large dams and malaria transmission constitutes an extremely critical public health challenge in Africa. Nowadays, managing drawdown rates into reservoir operation as a malaria control measure appears a viable solution to reduce the spread of the virus near large reservoirs, notwithstanding undesirable outcomes in terms of hydropower generation. In this regard, recent technological developments in the field of floating solar photovoltaic installations open the path for flexible hydropower operation by boosting photovoltaic energy generation using the same electricity transmission infrastructure. The aim of this study is to propose an integrated framework, where the optimal floating solar sizing and reservoir operations are jointly designed for minimizing malaria diffusion without compromising the ability of the energy sector to fulfill energy demands. The framework employs Evolutionary Multiobjective Direct Policy Search into a novel approach to floating solar photovoltaic size planning, which internalizes the operation design problem. The potential of the proposed framework is tested in the Zambezi river basin, where the Kariba dam is mainly operated for hydropower production, with considerable negative health effects in the proximity of the reservoir. Numerical results show that design alternatives coupling reservoir operation with floating solar photovoltaic largely dominates pure management solutions in terms of malaria spread and energy generation. Besides, the relatively limited (from 0.2 to 1.5% of the total lake area) optimal extent of the photovoltaic plant highlights the potential economic benefits of increasing the penetration of this technology in Sub-Saharan Africa, with capital costs balanced by boosted energy income within the first seven years from the initial investment.</p>


2010 ◽  
Vol 107 (5) ◽  
pp. 1848-1853 ◽  
Author(s):  
Jennifer Burney ◽  
Lennart Woltering ◽  
Marshall Burke ◽  
Rosamond Naylor ◽  
Dov Pasternak

Meeting the food needs of Africa’s growing population over the next half-century will require technologies that significantly improve rural livelihoods at minimal environmental cost. These technologies will likely be distinct from those of the Green Revolution, which had relatively little impact in sub-Saharan Africa; consequently, few such interventions have been rigorously evaluated. This paper analyzes solar-powered drip irrigation as a strategy for enhancing food security in the rural Sudano–Sahel region of West Africa. Using a matched-pair comparison of villages in northern Benin (two treatment villages, two comparison villages), and household survey and field-level data through the first year of harvest in those villages, we find that solar-powered drip irrigation significantly augments both household income and nutritional intake, particularly during the dry season, and is cost effective compared to alternative technologies.


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