The use of renewable energy sources (RES) has increased exponentially worldwide, as an alternative to the indiscriminate use of fossil fuels and to mitigate their effects on the environment. Cuba is not lagging behind in this development since the government’s plan until 2030 includes the contribution of renewable sources as a fundamental component in the national energy mix. This paper models possible scenarios based on 2019 statistics for achieving a 25% and 100% penetration of renewable sources by 2030 in the Isla de la Juventud’s (an island south of the main island of Cuba) electrical power system (EPS). This modeling is carried out utilizing and open source Excel-based accounting framework Long-range Integrated Development Analysis (LINDA). For this purpose, international and national trends in the use and development of renewable energy sources and the influence of the characteristics of each renewable source (wind, solar, biodiesel, battery storage) were analyzed. The analysis of Isla de la Juventud’s electrical power system was based on the characteristics of its energy mix, the possibilities of renewable energy penetration and the current and future energy demand by sector. Based on the analysis, two probable scenarios were modeled with LINDA model: a 25% renewable energy-based scenario (RENES) and a 100% renewables-based scenario (MAXRES). Results from RENES and MAXRES scenarios show high penetration of renewable energy sources in electricity generation is theoretically possible with the abundance of renewable energy resources, and thus it is possible for Cuba to move towards 100% renewable energy mix. However, the choices regarding the best fit energy mix need to be carefully analyzed in order to design a least cost system that answers the needs of the future demand.

This article presents the scientific validation of a Management Model for International Cooperation aimed at the development of renewable energy sources in the Cuban electricity sector. The objective of this research is to validate the content of the developed questionnaire, thus obtaining an instrument with 22 activities and five subprocesses for application in the management of international collaboration projects. The methodology used was quantitative, descriptive, and psychometric, with content validity based on expert judgment, employing statistical treatment using the Statistical Software for the Social Sciences (SSPS V.20). It is concluded that the results show high internal consistency of the construct, where Cronbach's alpha values greater than 0.90 are considered optimal in all subprocesses of the model, confirming its relevance and reliability for the strategic management of international renewable energy projects.

Smart grids are conceived as a system to optimally manage the set of means that are part of the electricity grid to achieve adequate performance in the distributed generation system in the supply of quality electricity. The objective of this study was to analyze the importance of smart grids in distributed generation and how the elements that make it up allow the implementation of this technological innovation. The methodology was based on the mixed approach, of experimental design with descriptive scope and documentary support, the experimental method was applied for programming with the use of Homer Pro software. The results were obtained by simulation, carried out for a distributed generation system with a consumption of 197.78 kWh/day, obtaining important data such as the amount of kW of electricity generation supplied in a year, with a value of 98,114 kWh/year.

Cuba is driving its sustainable energy transition with renewables as the central axis, although the Cuban government estimates that substantial investments will be necessary to achieve this goal. This work presents a proposal for a Management Model of International Cooperation for the Development of Renewable Energies, aimed at mobilizing the required funds. The model was designed through a structured questionnaire with 7 dimensions, 22 activities, and 5 subprocesses to guide the collaborative management of projects. The methodological approach was quantitative, descriptive, and psychometric, ensuring content validity through expert evaluation and statistical analysis. Reliability was established through internal consistency measures, while construct validity was supported by an exploratory factor analysis, confirming its feasibility and coherence. The validated questionnaire confirms its methodological rigor and practical utility, favoring the subsequent implementation of the model for Cuba’s transition toward green energy.