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Governments’ commitments to cope with climate change unpredictability, while ensuring an equal green transition, require clear plans to allocate resource better and estimate the impact of energy and social policies. Many energy models were developed to reach these goals. One of these is the Open Source Modelling System (OSeMOSYS), which uses the graphical Model Management Interface (MoManI). Feedback from MoManI users has shown unpleasant experiences and a steeper learning curve than desirable. In this study, the Simple And Nearly Done (CCG-SAND) Interface was developed to investigate whether an Excel-based tool could fasten and strengthen the process of evidence-based policymaking, reaching a wider audience of energy modelling practitioners. The potential improvements of CCG-SAND Interface compared to MoManI were tested and validated with an introductory Master course teaching exercise called Climate, Land, Energy and Water Systems for OSeMOSYS (CLEWS-O), four Master students from Imperial College London used CCG-SAND Interface for their energy\n\t\t\t\t models of Laos, Kenya, Nigeria, and Vietnam. To ensure a standardized collection and manipulation of data, replicable energy systems formats were created, respectively, for simple and more detailed analysis (Tier 1 and Tier 2 Models). Moreover, a case study on Uganda was analysed, including the validation of national energy policies which aim at diversifying the energy mix and reducing indoor pollution from the cooking applications of inefficient stoves. Analysis of the results obtained for the Ugandan case study showed massive enhancements of the quality of life if Improved Biomass and Electric Stoves are used. The results also indicated that the proposed electricity generation policy is not cost-effective. A revision of this plan could aim at reducing the dependency from nuclear energy. On these bases, CCG-SAND Interface proved to be a valuable and user-friendly tool for long-term energy policy modelling. Future work could aim at automatizing some processes of CCG-SAND Interface and reduce the computational time. Finally, CCG-SAND Interface has the potential to replace MoManI in\n\t\t\t\t universities Master programmes.