{'fraction_non_alphanumeric': 0.017527675276752766, 'fraction_numerical': 0.0, 'mean_word_length': 5.78125, 'pattern_counts': {'":': 0, '<': 0, '<?xml version=': 0, '>': 0, 'https://': 0, 'lorem ipsum': 0, 'www.': 0, 'xml': 0}, 'pii_count': 0, 'substrings_counts': 0, 'word_list_counts': {'cursed_substrings.json': 0, 'profanity_word_list.json': 0, 'sexual_word_list.json': 0, 'zh_pornsignals.json': 0}}
Identification of Optimal Biomass Utilization - Characteristics and Challenges

Interlinked biomass supply chains can be considered as a loose coupling of independent, distributed players. By means of loose (and therefore flexibly alterable) coupling, a regional network of (basically) small players is formed that offers an extensible portfolio of processes, which can be used in variable combinations. Superior sustainability objectives allow for considering energy efficiency, ecological rucksack and other higher-level objectives. If these superior objectives are taken into account simultaneously during network formation, the problem of assigning limited resources to utilization processes in a global optimal way arises. This work-in-progress paper will introduce the preliminary work on an adaptive and resilient system that is able to identify sustainable biomass utilization networks in an unsupervised way. The paper will focus on the model used and point out the requirements for possible algorithms used for optimization of these networks under sustainability objectives.