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A Review of Research Activities for the Perspective of a Smart Electricity Grid in Burkina Faso

Smart Grid and Renewable Energy 2025年第1期16卷 1-12页

作者： Brice Junior Carmel Wendenda Ilboudo Ollé Michel Kam Raguilignaba Sam Laboratoire de Matriaux dHeliophysique et Environnement (LaMHE) Dpartement de Physique Universit Nazi BONI Bobo-Dioulasso Burkina Faso Laboratoire de Matriaux et Environnement (LAME) Dpartement de Physique Universit Joseph KI ZERBO Ouagadougou Burkina Faso science du numrique Universit Virtuelle du Burkina Faso (UV-BF) Ouagadougou Burkina Faso

This review explores the research activities surrounding the development and integration of smart electricity grids in Burkina Faso, a landlocked and arid territory in West Africa and one of the poorest countries in the world with significant energy challenges. It examines the current state of energy infrastructure in Burkina Faso, focusing on the integration of renewable energy sources, particularly solar photovoltaics. It highlights the role of smart grid technologies in enabling the efficient integration of renewable energy, improving grid stability and facilitating rural electrification. Additionally, the review addresses key challenges such as inadequate infrastructure, regulatory gaps and financial constraints that hinder the deployment of smart grids in the country. By analysing existing research and ongoing projects, this paper provides a comprehensive overview of the opportunities and barriers to implementing a smart electricity grid in Burkina Faso and offers recommendations for future development and policy frameworks.

关键词： Smart Grid Smart Building Decentralised Energy Production Photovoltaic Renewable Energy

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Trends and Climate Drivers of Extreme Precipitation Variability in Senegal: A Century-Long In-Situ Rainfall Analysis

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Atmospheric and Climate sciences 2025年第1期15卷 20-41页

作者： Moussa Diakhaté Khadidiatou Ina Mane Abdou Lahat Dieng Aïssatou Badji Mamadou Ndiaye Dahirou Wane Amadou Thierno Gaye Polytech Daimniadio Universit Amadou Makhtar Mbow Diamniadio Senegal Laboratoire de Physique de lAtmosphre et de lOcanSimon Fongang (LPAO-SF) Universit Cheikh Anta Diop Dakar Senegal Ple science Technologie et Numrique Universit Numrique Cheikh Hamidou Kane Diamniadio Senegal Centre de Recherches Agricoles de lInstitut Sngalais de Recherches Agricoles (CRA-ISRA) Saint-Louis Senegal

In this study, we focused on describing the trends of Extreme Precipitation Indices (EPI) in Senegal and analyzing the significant links between their variability and key climatic factors such as the El Niño-Southern Oscillation Index (ONI), the Land-Ocean Temperature Index (LOTI), and the Land Surface Temperature Index (LST). Based on a century of daily rainfall data from various Senegalese stations, this study utilized twelve (12) EPIs calculated according to the definitions of the Expert Team on Climate Change Detection and Indices (ETCCDI). To analyze the temporal variation characteristics of extreme precipitation, the Mann-Kendall (MK) test was employed to perform a uniformity test on the precipitation data series. A dependence method through differentiation was used to remove data trends and observe correlations between the climate change indices ONI, LOTI, LST, and EPIs. An approach based on lagged correlations between the ONI index and the EPIs was applied to evaluate the predictability of extreme precipitation patterns in Senegal. Trend analysis indicates a significant decrease in total precipitation and frequency and intensity indices in most stations, while duration indices show no clear trend. Regarding their interannual variability, the analysis shows negative correlations between ONI and total precipitation, consistent with the known influence of ENSO on Sahel precipitation. Correlations with LOTI and LST indices, on the other hand, suggest that the Clausius-Clapeyron theory does not hold at Senegal’s latitudes, but that adjacent Atlantic ocean warming influence is crucial in modulating extreme precipitation patterns. Finally, on the predictability of extreme precipitation, the study shows a significant signal up to three months in advance with ENSO for 58% of the EPIs and up to two months in advance for 90% of the EPIs.

关键词： Senegal Extreme Precipitation Trends and Climate Variability El Niño-Southern Oscillation (ENSO)

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