Sustainable The sustainable energy development implies to look for balanced technological alternatives, economically, socially, and environmentally. Therefore, it is a complex process which solution is commonly supported on mathematic tools, whether multi-objective optimization (MODM) or multicriteria analysis (MCDM). In this work, an analysis of these tools in the field of the renewable energy is carried out, with the purpose of identify the hybrid renewable energy systems design under a sustainable view perspective, which implies the use of MCDM or MODM tools. The methodology used consists of identifying the references related to the design of hybrid renewable energy systems and the sustainability term, using the WOS (Web of Science) search engine, which were analyzed in chronological order to identify the basic forms of the methods, the application foundations, and finally, the perspectives, reflected in the most recent publications. MCDM tools were identified as the most used with the 71% of the analyzed references, above the multiobjective methodologies; being the most popular the Hierarchical Analytical Process (AHP) and the Order of Preference for Similarity with the Ideal solution (TOPSIS). It is important that the decision makers use such kind of tools, both to design and to plan sustainable energy systems.
A methodology for the optimization of renewable hybrid low power generation systems (RHLPS) is presented, analyzing its performance under different control strategies and thus reducing the costs of power generation using the existing equipment, and varying only the configuration of the factory settings. The above is achieved through the use of software tools for simulations and sensitivity analysis. In the first instance, a description of the different control strategies that have been applied to the RHLPSs is made. Secondly, a RHLPS optimization methodology is developed by means of control strategies. As a third and last point, the methodology is applied to a system in operation, where, through simulations, the optimal values are obtained and those allow to analyze the operation of the system under different control strategies. The results show that an appropriate control strategy allows a better performance and operation of the systems, and therefore it is important to perform an optimization and operational analysis to the existing systems, to make a better use of the equipment, as well as the available renewable resources.
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