In order to have a characterization of the criteria determining the choice of energy storage or non-storage in PV systems in the Sahelian zone, we used the research methodology described as a follow-up. First, we iden...In order to have a characterization of the criteria determining the choice of energy storage or non-storage in PV systems in the Sahelian zone, we used the research methodology described as a follow-up. First, we identify the criteria that determine the choice of energy storage or non-storage. In the rest of the work, we establish a prioritization of its criteria. Finally, the two phases written above, allowed us to develop an approach characterized by the weighting of the criticality index, which we implemented using the global decision matrixes of the AMDEC method (Analysis of the Modes of Failures of their Effects and Criticism). The validation of the model followed the rigour of the scientific approach through the methodology used. Thus, the validation of the choice of the specific criteria was made on our personal experience in pv, and the recurrence of its criteria in the literature encountered. The validation of the prioritization of the criteria is based on the quality of the results resulting from the rigorous application of the AMDEC method.</span></span><span><span><span style="font-family:""> </span></span></span><span style="font-family:Verdana;"><span style="font-family:Verdana;"><span style="font-family:Verdana;">This work refers to the problem of whether or not to set up an energy storage method to compensate for the off-peak periods (nights and obstacles that occur in the days) of energy production of the photovoltaic system. A determination of the determining criteria, in the choice of energy storage or non-storage in PV systems in the Sahelian zone, was made. The work also made it possible to establish a prioritization of these last criteria. The results obtained show that the proposed method allows for a prioritization of the determining criteria in the choice of energy storage or non-storage in PV systems in the Sahelian zone.展开更多
The study PV/diesel system is a stand-alone microgrid powered by the PV/diesel combination without production storage. The study focused on optimising PV/diesel production by monitoring data. It also referred to a com...The study PV/diesel system is a stand-alone microgrid powered by the PV/diesel combination without production storage. The study focused on optimising PV/diesel production by monitoring data. It also referred to a comparison of sensitive factors in PV/diesel production. This study implemented structural and non-structural factors of the said system. A literature search was conducted to determine the factors involved. So, factors such as system autonomy, energy quality, system stability and data monitoring were considered for the study. Thus, after a detailed presentation of the data monitoring, a comparison based on the method, Analysis of Failure Modes, their Effects and Criticalities (FMEA) was carried out. At the end of the comparison, a hierarchy of parameters in the exploitation of the energy production of autonomous microgrids was made. From its results, it emerges a good consideration of the factor “data monitoring” in the management of the system studied. The results obtained confirm the importance of data monitoring for a better optimization of energy production. A monitoring program or procedure has been developed according to the originality that the present study has identified. The study also made it possible to evaluate the performance of data monitoring for the energy production of photovoltaic systems in general and hybrid PV/diesel systems in particular.展开更多
文摘In order to have a characterization of the criteria determining the choice of energy storage or non-storage in PV systems in the Sahelian zone, we used the research methodology described as a follow-up. First, we identify the criteria that determine the choice of energy storage or non-storage. In the rest of the work, we establish a prioritization of its criteria. Finally, the two phases written above, allowed us to develop an approach characterized by the weighting of the criticality index, which we implemented using the global decision matrixes of the AMDEC method (Analysis of the Modes of Failures of their Effects and Criticism). The validation of the model followed the rigour of the scientific approach through the methodology used. Thus, the validation of the choice of the specific criteria was made on our personal experience in pv, and the recurrence of its criteria in the literature encountered. The validation of the prioritization of the criteria is based on the quality of the results resulting from the rigorous application of the AMDEC method.</span></span><span><span><span style="font-family:""> </span></span></span><span style="font-family:Verdana;"><span style="font-family:Verdana;"><span style="font-family:Verdana;">This work refers to the problem of whether or not to set up an energy storage method to compensate for the off-peak periods (nights and obstacles that occur in the days) of energy production of the photovoltaic system. A determination of the determining criteria, in the choice of energy storage or non-storage in PV systems in the Sahelian zone, was made. The work also made it possible to establish a prioritization of these last criteria. The results obtained show that the proposed method allows for a prioritization of the determining criteria in the choice of energy storage or non-storage in PV systems in the Sahelian zone.
文摘The study PV/diesel system is a stand-alone microgrid powered by the PV/diesel combination without production storage. The study focused on optimising PV/diesel production by monitoring data. It also referred to a comparison of sensitive factors in PV/diesel production. This study implemented structural and non-structural factors of the said system. A literature search was conducted to determine the factors involved. So, factors such as system autonomy, energy quality, system stability and data monitoring were considered for the study. Thus, after a detailed presentation of the data monitoring, a comparison based on the method, Analysis of Failure Modes, their Effects and Criticalities (FMEA) was carried out. At the end of the comparison, a hierarchy of parameters in the exploitation of the energy production of autonomous microgrids was made. From its results, it emerges a good consideration of the factor “data monitoring” in the management of the system studied. The results obtained confirm the importance of data monitoring for a better optimization of energy production. A monitoring program or procedure has been developed according to the originality that the present study has identified. The study also made it possible to evaluate the performance of data monitoring for the energy production of photovoltaic systems in general and hybrid PV/diesel systems in particular.
