Optimization of Solar Battery Storage Systems for Rural Electrification Feasibility

Thesis Abstract

Access to reliable and sustainable electricity remains a critical challenge in rural areas, hindering economic development and improving quality of life. Solar energy-based systems have emerged as a promising solution due to their renewable nature and decreasing costs, yet the effective integration and optimization of solar battery storage remain pivotal to ensuring system reliability, cost-efficiency, and scalability in rural electrification projects. This study aims to develop an optimized framework for solar battery storage systems tailored to rural contexts, with specific objectives to evaluate the technical performance of existing systems, identify key parameters influencing storage efficiency, and develop a decision-support model for capacity sizing and system configuration. The research adopts a mixed-methods design, integrating quantitative data collection with qualitative insights. The population comprises 150 rural electrification projects across a mid-sized developing country, with a purposive sample of 50 sites selected based on system maturity, geographic diversity, and data availability. Data collection tools include structured questionnaire surveys administered to system operators, technical performance logs, and in-depth interviews with key stakeholders. The quantitative data will comprise system operational metrics, solar and load profiles, and battery performance indicators, which will be analyzed using multiple regression analysis and ANOVA to identify significant factors affecting storage performance. Qualitative data from interviews will undergo thematic analysis to uncover contextual challenges and operational insights. A prominent theoretical underpinning for this study is the Energy Storage Theory combined with the Optimization Theory, facilitating the development of a mathematical model for capacity sizing that maximizes reliability while minimizing costs. The data analysis will further employ a multi-criteria decision analysis (MCDA) framework to evaluate different battery technologies (e.g., lithium-ion, lead-acid, flow batteries) based on cost, performance, lifespan, and maintenance requirements. The analytical framework will culminate in a customized algorithm embedded within a decision-support tool, allowing practitioners to determine optimal system configurations tailored to local load profiles and resource availability. Expected findings include the identification of key variables influencing battery efficiency, the quantification of cost-performance trade-offs among different storage technologies, and the development of a validated optimization model that enhances overall system reliability and cost-effectiveness. It is anticipated that the study will reveal that specific system configurations, such as medium-depth cycling and advanced battery management systems, significantly improve the lifespan and performance of batteries in rural settings. The findings will also contextualize operational challenges like load variability, maintenance constraints, and environmental impacts. This research contributes new empirical insights into the techno-economic optimization of solar storage systems within rural environments, addressing gaps in existing literature that predominantly focus on urban or developed regions. The optimized model and decision-support framework will serve as practical tools for policymakers, system designers, and rural entrepreneurs, fostering scalable and sustainable rural electrification strategies. The main conclusion underscores the importance of tailored optimization strategies that balance technical performance, economic feasibility, and local operational realities. Recommendations include adopting hybrid storage solutions, integrating predictive maintenance practices, and developing localized capacity-building initiatives to ensure system longevity. The study advocates for policy reforms to incentivize the deployment of optimized storage solutions and calls for further research into emerging battery technologies and real-time monitoring systems that can further enhance rural solar electrification efforts.