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Access to electricity and supplying reliable energy are the key elements that support local economic development and contribute to reducing poverty. Moreover, the problem of environmental protection can be considered as a factor of sustainable development. In response to these many challenges, appropriate national and regional policies, as well as mechanisms, have been implemented. In Mali, strong dependence on the importation of oil, growth in demand, and the low rate of electrification have pushed the highest authorities to think of diversified technological solutions like renewable energy for the satisfaction of energy demands, especially photovoltaics, for which the country has significant potential. The hybrid systems used is a compromise, because the emission rate of carbon dioxide emitted by thermal power plants must be reduced and limited to preserve supernatural disasters. For this, hybrid photovoltaic systems coupled to the grid increased, but the management of the production of these photovoltaics poses a lot of problem due to its intermittent status. It is in this context that we conducted an optimization study of a hybrid system photovoltaic connected to the grid. We applied our approach to the most extensive distribution post of Mali capital. For the simulation, we used the modeling and simulation tool named HOMER.
Amadou Touré; Sid Addouche; Fadaba Danioko; Badié Diourté; Abderrahman Mhamedi. Hybrid Systems Optimization: Application to Hybrid Systems Photovoltaic Connected to Grid. A Mali Case Study. Sustainability 2019, 11, 2356 .
AMA StyleAmadou Touré, Sid Addouche, Fadaba Danioko, Badié Diourté, Abderrahman Mhamedi. Hybrid Systems Optimization: Application to Hybrid Systems Photovoltaic Connected to Grid. A Mali Case Study. Sustainability. 2019; 11 (8):2356.
Chicago/Turabian StyleAmadou Touré; Sid Addouche; Fadaba Danioko; Badié Diourté; Abderrahman Mhamedi. 2019. "Hybrid Systems Optimization: Application to Hybrid Systems Photovoltaic Connected to Grid. A Mali Case Study." Sustainability 11, no. 8: 2356.
International audienceThis paper proposes an aggregating method based on a bayesian approach to improve the continuity of service for complex multi-state systems into an industrial context. In the study of our "equivalent" model of a given machines con_guration, each machine is considered as one bayesian multi-state sub-model. A simulation is made with or no learning on the node of maintenance policy for each con_guration of machines in order to study, master its process of degradation and suggest the best actions of maintenance policy over an given exploitation phase with regard to the chosen performance indicators
Fadaba Danioko; Sid-Ali Addouche; David Tchoffa; Abderrahman El Mhamedi. Aggregating Probabilistic Models of Complex Multi-State Systems. IFAC-PapersOnLine 2015, 48, 136 -140.
AMA StyleFadaba Danioko, Sid-Ali Addouche, David Tchoffa, Abderrahman El Mhamedi. Aggregating Probabilistic Models of Complex Multi-State Systems. IFAC-PapersOnLine. 2015; 48 (3):136-140.
Chicago/Turabian StyleFadaba Danioko; Sid-Ali Addouche; David Tchoffa; Abderrahman El Mhamedi. 2015. "Aggregating Probabilistic Models of Complex Multi-State Systems." IFAC-PapersOnLine 48, no. 3: 136-140.
In this paper, we present an approach to carry out an analysis of the performance of given industrial supplies or of a group of machines. This approach defines a target group for machines whose unavailability can indeed seriously hinder the objectives of production, and generates high maintenance costs. We will refer to the data of maintenance to identify the major failures and to classify relevant causes. The Bayesian networks have been used to better grasp the causes of failures and to quantify unavailability related to with these failures.
F. Danioko; S. Apedome; S. Addouche; A. El Mhamedi. Performance Management of Industrial Supplies by Bayesian Networks: Proposed Approach and Industrial Application. IFAC Proceedings Volumes 2012, 45, 924 -928.
AMA StyleF. Danioko, S. Apedome, S. Addouche, A. El Mhamedi. Performance Management of Industrial Supplies by Bayesian Networks: Proposed Approach and Industrial Application. IFAC Proceedings Volumes. 2012; 45 (6):924-928.
Chicago/Turabian StyleF. Danioko; S. Apedome; S. Addouche; A. El Mhamedi. 2012. "Performance Management of Industrial Supplies by Bayesian Networks: Proposed Approach and Industrial Application." IFAC Proceedings Volumes 45, no. 6: 924-928.
Fadaba Danioko; Sid-Ali Addouche; Abderrahman El Mhamedi. Dynamic Bayesian Network Approach to improve the Preventive Maintenance of Multi-State Systems. IFAC Proceedings Volumes 2012, 45, 60 -65.
AMA StyleFadaba Danioko, Sid-Ali Addouche, Abderrahman El Mhamedi. Dynamic Bayesian Network Approach to improve the Preventive Maintenance of Multi-State Systems. IFAC Proceedings Volumes. 2012; 45 (31):60-65.
Chicago/Turabian StyleFadaba Danioko; Sid-Ali Addouche; Abderrahman El Mhamedi. 2012. "Dynamic Bayesian Network Approach to improve the Preventive Maintenance of Multi-State Systems." IFAC Proceedings Volumes 45, no. 31: 60-65.