Optimization of the residual biomass supply chain : process characterization and cost analysis

Background: This study investigates the vital significance of logistical cost optimization within the residual woody biomass supply chain, aiming to boost both sustainability and the efficient uti-lization of this resource. There is an emphasis on how adept cost management can determine the economic feasibility of exploiting residual biomass. Methods: The research delves into crucial areas including collection, transportation, storage, and processing of biomass, highlighting their re-spective roles in the total cost. The influence of factors such as seasonality and biomass quality variations on the supply chain's cost and efficiency is explored. To provide an in-depth analysis of these factors, mathematical models are presented that allow for the examination of a variety of scenarios and optimization strategies. Techniques such as linear programming, genetic algo-rithms, and tabu search are contextualized within these models. Results: The study provides in-sights into individual cost contributions of different logistical operations. It also reveals how seasonality and biomass quality variations directly affect the cost and efficacy of the supply chain. Conclusions: Proficient logistical cost management is crucial for the successful exploitation of re-sidual biomass. The findings have substantial implications for managing the residual biomass supply chain, paving the way for a transition to a low-carbon economy.