Optimizing utilization pathways for biomass to chemicals and energy by integrating emergy analysis and particle swarm optimization (PSO)

Prathana Nimmanterdwong, Benjapon Chalermsinsuwan and Pornpote Piumsomboon

Renewable Energy, 2023, vol. 202, issue C, 1448-1459

Abstract: In this study, emergy analysis has been applied to evaluate and quantify the system performance in terms of natural resource utilization. The Emergy to Money Ratio (EMR) is the performance parameter to be optimized using the Particle Swarm Optimization (PSO) to obtain the optimal use of available resources. A framework, so-called EMR-PSO, has been proposed to determine the minimum EMR, reflecting the low emergy investment with high system net profit. The system boundary consisted of four selected biomass and six alternative conversion processes. The framework was implemented in three scenarios covering feedstocks and product constraints. The optimization result indicated that, in the supply aspect, liquid fuel production from eucalyptus is the optimum solution in the case of normal operation. While eucalyptus availability was limited, Napier grass and PEFB were suggested as alternative substitutes. The minimum EMR from the production system in case of normal operation and high product demand with limited biomass availability were 2.04E+09 sej/$ and 6.77E+09 sej/$, v. Furthermore, the performance of the EMR-PSO was compared with other optimization techniques such as genetic algorithm (EMR-GA) and gradient-based method (EMR-GBM). The EMR-PSO was found to be superior to the others.

Keywords: Biomass utilization; Optimization; Emergy analysis (search for similar items in EconPapers)
Date: 2023
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (6)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:renene:v:202:y:2023:i:c:p:1448-1459

DOI: 10.1016/j.renene.2022.12.036

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