The Cost-Benefit Analysis and Big Data Analytics of Adopting Solar Microgrids in Jordan's Rural Areas: Implications for Energy Policy and Sustainable Management

Abstract

The transition to renewable energy sources is pivotal for both global sustainability and the economic vitality of developing nations. Yet, the specific determinants of economic viability in adopting solar microgrids remain underexplored, particularly in developing contexts like rural Jordan. This study utilizes Structural Equation. To examine how initial setup costs, ongoing maintenance costs, governmental subsidies, and the application of big data analytics influence the economic viability of solar microgrids. Data was collected via a questionnaire survey from various stakeholders involved in solar microgrid projects. The findings indicate that lower setup and maintenance costs, governmental subsidies, and the use of big data analytics are positively associated with economic viability. This study contributes to the literature by providing empirical evidence of these relationships in a rural Jordanian context and offers practical implications for both policymakers and practitioners.