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• Electric vehicles charging and refueling with various renewable-based designs. • Globally applicable multi-design framework identifies the most sustainable design. • Uses a hybrid multicriteria decision method with a microgrid optimization tool. • Shows real-time case study with comparison of seven 100% renewable-based designs. • Optimal design avoids 2,455 tons of yearly carbon emissions compared with the grid. The rapid development of green charging and refueling stations is vital for the widespread adoption of fuel cell electric vehicles and battery electric vehicles. This paper investigates the challenge of selecting the most optimal autonomous station design among various 100 % renewable-based options, considering techno-economic and socio-political factors. A globally applicable systematic framework is presented, encompassing 14 performance criteria, a microgrid optimization tool, and a hybrid multicriteria decision method. Focusing on the pressing needs of Karachi, Pakistan, the study showcases the application of the framework to evaluate 7 renewable-based autonomous designs. Among these, the photovoltaic and biogas generator-powered station emerges as the most optimal option for Karachi, with a levelized cost of energy (LCOE) of 0.31 $/kWh, levelized cost of hydrogen (LCOH) of 4.281 $/kg and payback period of 8.3 years. The optimal design avoids 2,455 tonnes of carbon dioxide (CO 2)/year compared to the grid and 5,642 tonnes of CO 2 /year compared to diesel generators. When compared with the grid extension, the breakeven distance is found to be 4.6 km. Sensitivity analysis shows a 3.6 % decrease in LCOE and a 13.7 % decrease in LCOH with a 20 % increase in charging and refueling load, highlighting scalability benefits. This study contributes to various united nations' sustainability goals (7, 8, 9, 11, 12, 13), striving to provide a clear pathway for selecting optimal station designs. [ABSTRACT FROM AUTHOR]