Publications Internationales

Permanent URI for this collectionhttps://dspace.univ-boumerdes.dz/handle/123456789/13

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Author: search.filters.author.Berrazouane, Sofiane

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    Design of a cost and reliability optimized framework for the techno-economic analysis of a stand-alone PV/FC Li-ion battery system
    (Springer Science and Business Media Deutschland GmbH, 2025) Berrazouane, Sofiane; Alem, Said; Mellal, Mohamed Arezki
    The multiple advantages of the Li-ion batteries and the long-term storage capacity of hydrogen are exploited in this work to obtain an optimal system configuration and achieve energy self-sufficiency. The degradation cost of the battery, based on both calendar and cyclic aging, is included to provide a more detailed and accurate techno-economic balance and estimation. Moreover, the operating cost of the battery and hydrogen system is considered in the energy management strategy (EMS) to determine the prioritized storage system to be used. Therefore, to economize the costs and increase the reliability of the standalone photovoltaic/fuel cell (PV/FC) Li-ion battery system, an EMS is developed by customizing and adapting the Improved Grey Wolf Optimizer (IGWO), referred to as the Modified Improved Grey Wolf Optimizer (M-IGWO). The proposed system achieves a Levelized Cost of Energy (LCOE) of 0.3257 $/kWh when Loss of Power Supply Probability (LPSP) is less than 1%, with 68.18% use of hydrogen system over the time and 26.11% of the battery, demonstrating high reliability. Depending on the operating mode, the battery utilization to support H2_system is decreasing from 10.71% to 1.18%, while the hydrogen system utilization to support battery is decreasing from 29.64% to 9.16%. These findings highlight the effectiveness of the M-IGWO algorithm and EMS in optimizing PV/FC Li-ion battery system for various scenarios
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    Obsolescence optimization of electronic and mechatronic components by considering dependability and energy consumption
    (Springer, 2013) Mellal, Mohamed Arezki; Adjerid, Smail; Benazzouz, Djamel; Berrazouane, Sofiane; Williams, Edward
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    Optimal policy for the replacement of industrial systems subject to technological obsolescence using genetic algorithm
    (2013) Mellal, Mohamed Arezki; Adjerid, Smail; Benazzouz, Djamel; Berrazouane, Sofiane; Williams, Edward J.
    The technological obsolescence of industrial systems is characterized by the existence of challenger units possessing identical functionalities but with improved performance. This paper aims to define a new approach that makes it possible to obtain the optimal number of obsolete industrial systems which should be replaced by new-type units. This approach presents a new point of view compared with previous works available in the literature. The main idea and the originality of our approach is that we apply a genetic algorithm (GA) by considering the failure frequency, the influence of the environment/safety factors of the old-type systems and the purchase/implementation cost of the new-type units. These parameters are introduced in order to optimize this type of replacement in the context of engineering
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    Genetic algorithm for multiobjective optimization : applied in high speed machining milling operation
    (2012) Mokhtari, Hicham; Ouziala, Mahdi; Mellal, Mohamed Arezki; Belaidi, Idir; Alem, Said; Berrazouane, Sofiane
    Genetic Algorithms (GAs) are general-purpose heuristic search algorithms that mimic the evolutionary process in order to find the fittest solutions. The algorithms were introduced by Holland in 1975. Since then, they have received growing interest due to their ability to discover good solutions quickly for complex searching and optimization problems. Simple genetic algorithms have been developed to solve the problems of multi objective optimization, such as NSGA II. The objective of this research is to apply the elitist non-dominated sorting GA (NSGA-II) for multi-objective optimization problems in case of high speed machining for the milling operation. The implemented model under Matlab, allows, from a considered space research. We have optimized the values of Vc and f, for an imposed Depth, while the production cost and time are minimized, under technical constrains of the production system