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Hybrid Energy Solutions for Enhancing Rural Power Reliability in the Spanish Municipality of Aras de los Olmos

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Applied Sciences

Abstract

Featured Application The methodologies and results presented in this study can serve as a blueprint for rural municipalities, cooperative energy planners, or agricultural communities seeking to enhance microgrid reliability and reduce costs. By leveraging locally available biomass (e.g., livestock waste) and optimal solar photovoltaic capacity, stakeholders can tailor hybrid energy systems to local resource conditions, lower greenhouse gas emissions, and foster community-level economic development. Additionally, regulatory bodies and policymakers can use these insights to formulate supportive policies-such as feed-in tariffs or biogas incentives-that accelerate the adoption of clean, resilient hybrid solutions in other semi-remote or grid-constrained settings.Abstract As global energy demand increases, ensuring a reliable electricity supply in rural or semi-remote areas remains a significant challenge. Hybrid energy systems, which integrate renewables, generators, storage, and grid connections, offer a promising solution for addressing energy reliability issues. In this context, the rural community of Aras de los Olmos, Spain, serves as the focal point because of its frequent power outages despite being connected to the main grid. This study investigates innovative solutions tailored to the community's unique needs. It highlights critical challenges in achieving reliable energy access and bridges the gap between existing limitations and sustainable, future-oriented energy systems. This is achieved by analyzing the current energy setup and evaluating potential alternatives. Two scenarios were evaluated: one optimizing the existing configuration for economic efficiency while retaining the grid as the primary energy source, and another introducing a biomass generator to enhance reliability by partially replacing the grid. Detailed technical, financial, and environmental assessments were performed using HOMER. These assessments identified an optimal configuration. This optimal configuration improves reliability, enhances stability, reduces disruptions, and meets growing energy demands cost-effectively. As will be indicated, the first scenario can reduce total costs to approximately USD 90,000 compared to the existing setup, whereas the second scenario can lower grid dependence by approximately 70%. In addition, introducing renewable energy sources, such as solar and biomass, significantly reduces greenhouse gas emissions and reliance on fossil fuels. Additionally, these solutions create local job opportunities, promote community engagement, support energy independence, and align with broader sustainability goals.