Biomass treatment and upcycling is attracting considerable critical attention. Upcycling is a converting procedure to alter a valueless or low-value product to another form with higher value, and in this regard, biomass gasification is an upcycling process which converts biomass into a hydrogen-rich syngas. In recent years, researchers have shown an increased interest in biomass gasification; however, there is a lack of a comprehensive and systematic research considering simultaneously various biomass types and gasifying mediums. This study set out to simultaneously consider twenty biomass types and three gasifying mediums and perform a systematic multi-criteria decision analysis to select the best coupling of biomass type/gasifying medium considering nine criteria of syngas compositions and different efficiencies. Biomass types were ranked using the technique for order of preference by similarity to ideal solution method for each gasifying medium, and a sensitivity analysis was performed to select the first and second biomass types with respect to different criteria weights. Performance of gasification processes was multi-objective optimized using response surface methodology. A systematic multi-criteria decision analysis and a sensitivity analysis were conducted to choose the best gasification performance of the best biomass types in their optimum conditions. The findings revealed that gasification with a steam gasifying agent by pine sawdust biomass had the best performance and produced 46.96% of hydrogen and only 4.99% of carbon dioxide and led to energy and exergy efficiencies of 80.91% and 86.03%, respectively. The findings can contribute to a better understanding of the biomass gasification process with different feedstocks and agents.

生物质处理和升级回收引起了相当大的关注。升级循环是将无价值或低价值产品转变为具有更高价值的另一种形式的转化过程，在这方面，生物质气化是将生物质转化为富氢合成气的升级循环过程。近年来，研究人员对生物质气化表现出越来越大的兴趣。然而，缺乏同时考虑各种生物质类型和气化介质的全面和系统的研究。本研究着手同时考虑 20 种生物质类型和 3 种气化介质，并进行系统的多标准决策分析，以选择生物质类型/气化介质的最佳耦合，同时考虑 9 种合成气成分标准和不同的效率。通过与每种气化介质的理想溶液方法的相似性，使用优先顺序技术对生物质类型进行排序，并进行敏感性分析以根据不同的标准权重选择第一和第二生物质类型。使用响应面方法对气化过程的性能进行多目标优化。进行了系统的多标准决策分析和敏感性分析，以选择最佳生物质类型在其最佳条件下的最佳气化性能。研究结果表明，用松木屑生物质蒸汽气化剂气化效果最好，产生 46.96% 的氢气和 4.99% 的二氧化碳，能源效率和火用效率分别为 80.91% 和 86.03%。