The growing exhaustion of fossil fuels and the increase in emissions of greenhouse gases require the shift towards the sustainable and low-carbon energy. Nevertheless, some of the current renewable energy solutions are prone to intermittency, scaling, and economic viability issues, making it essential to have alternative sources that can be trusted. This paper attempts to tackle this issue by exploring the biomass as a renewable fuel source using a combined analytical system that focuses on maximizing the energy potential and sustainability performance. The main aim is to evaluate systematically biomass feedstocks, conversion technologies and performance measures to develop an efficient and scalable energy model. The suggested methodology will be an experimental and analytical one, with ultimate and proximate analysis to characterize fuels and scanning electron microscopy (SEM) to perform the micro-structural analysis. Also, the thermochemical and biochemical conversion methods are relatively compared to identify their effectiveness and environmental performance. Findings show that optimized blends of biomass can have up to 18.6% greater calorific value and 23.4% better combustion efficiency than single-feedstock systems. Moreover, greenhouse gas emissions are cut by about 32.7 per cent compared to traditional fossil fuels and decentralized biomass systems increases energy availability by 27.5 per cent in the rural areas. The originality of the research is that a single analytical framework that combines the features of fuel characterization, conversion efficacy and sustainability indicators into a single assessment model is developed. The method allows making more informed decisions to plan the energy and optimize the resources.