Earth is affected by various natural phenomena such as natural calamities, disasters and human actions like urbanization, pollution, etc. One such major issue is the exhaustive usage of fossil energy and its adverse impact on our environment. Renewable energy is a natural source of energy that has substantial benefits. Knowledge about solar radiation data and its geographical presence determine potential solar energy investments and operational strategies. Thus, the objective of this research is to set forth the software architecture of Renewable Energy Decision Support System (REDSS). Significant part of this research process is focused on investigating the technologies like Datawarehousing, Extract Transform and Load to store and process huge amount of historical data and Business Intelligence for structuring the data and reporting the derived knowledge. Therefore, this work has aimed to emphasize and imbibe the above technologies to propose one complete REDSS for evaluating potential use of energy sources. As a prototype, this book also presents a low cost renewable energy explorer based on the proposed REDSS concept and freely available data.