Multi-Criteria Analysis of Lignocellulose Substrate Pre-Treatment

Abstract

Due to growing topicality of indirect land use change, greater shift towards second generation biofuels should be observed. In order to help smaller biogas and bioethanol producers, multi-criteria analysis of lignocellulose pre-treatment is conducted to elucidate the most preferable approach for lignocellulose pre-treatment. There are four main pre-treatment groups – biological, chemical, physical and physochemical pre-treatment. In this article three pre-treatment types were described by highlighting their specific approaches; using multi-criteria analysis a conclusion was reached that the most preferable pre-treatment option for lignocellulose biomass like corn stover or sugarcane is microbiological pre-treatment, as it showed the closest proximity to ideal solution.

Cost-Benefit and Multi-Criteria Analysis of Wind Energy Parks Development Potential in Latvia

“…In order to apply MCA analysis, it is necessary to develop criteria and set their corresponding importance. The criteria in this study will be ranked by Analytic hierarchy process (AHP) providing specific score for each criteria, showing the importance of the criteria in comparison to other criteria (1 -equally important, 9 -much more important than other criteria) [12]. After that, the evaluation of the case study projects will be made by using Technique for Oder Preference by Similarity to Ideal Solutions (TOPSIS) method.…”

Selection of Iron-based Additives for Enhanced Anaerobic Digestion of Sludge using the Multicriteria Decision-Making Approach

“…), biological and enzymatic (bacterial and fungal) and combined (thermochemical, physicochemical, etc.) [1], [7].…”

“…Several multiple attribute decision-making methods can be stochastic, fuzzy, deterministic, or combined in nature, include priority, outranking, distance and mixed methods [1]. The established multiple attribute decision-making techniques among others are weight product method, weight sum method, analytical hierarchical process (AHP), compromise and goal programming, elimination and choice translation reality (ELECTRE), multiple attribute utility theory (MAUT), preference ranking organization method for enrichment evaluation (PROMETHEE) and technique for order preference by similarity to ideal solution (TOPSIS) [1], [7], [20], [22], [23]. It could be observed from previous studies that TOPSIS and AHP methods are the most used for decision making.…”