Proceedings of ESCAPE 35ISSN: 2818-4734
Volume: 4 (2025)
Table of Contents
LAPSE:2025.0544
Published Article
LAPSE:2025.0544
A Generalized Optimization Approach for the Characterization of Non-Conventional Streams
Michaela Vasilaki, Effie Marcoulaki, Antonis Kokossis
June 27, 2025
Abstract
This study provides standardized models for the chemical characterization of complex streams, ensuring the necessary adaptations while considering the differences in biomass types and forms. Several datasets are compiled and examined to establish a valid representation of the mixture, according to industry accepted standards and laboratory protocols. For reliable property estimation, correlations of key biomass properties are obtained from both computational models and experimental measurements. Existing data are used to create datasets for the biomass and the biocrude streams. This model builds upon existing knowledge and data technologies with emphasis on hydrothermal liquefaction (HTL). The proposed approach shows potential as a starting point for the design and modelling of more biorefinery-associated technologies. Sludge and pine wood are used as case studies for biomass feedstocks. Two biocrude samples are employed for biocrude characterization. The performance of the developed optimization model is compared favorably with results obtained using previous works. To ensure a variety of possible and valid solutions, integer cuts are implemented producing solution pools for the analysed streams.
Record ID
LAPSE:2025.0544
Keywords
Biocrude, Biomass, Biorefineries, Integer cuts, MINLP, Optimization
Subject
Materials
Suggested Citation
Vasilaki M, Marcoulaki E, Kokossis A. A Generalized Optimization Approach for the Characterization of Non-Conventional Streams. Systems and Control Transactions 4:2441-2446 (2025) https://doi.org/10.69997/sct.184171
Author Affiliations
Vasilaki M: Department of Process Analysis and Plant Design, School of Chemical Engineering, National Technical University of Athens, Athens, Greece
Marcoulaki E: System Reliability and Industrial Safety Laboratory, National Center for Scientific Research ‘Demokritos”, Athens, Greece
Kokossis A: Department of Process Analysis and Plant Design, School of Chemical Engineering, National Technical University of Athens, Athens, Greece
Journal Name
Systems and Control Transactions
Volume
4
First Page
2441
Last Page
2446
Year
2025
Publication Date
2025-07-01
DOI:
https://doi.org/10.69997/sct.184171
Version Comments
Original Submission
Other Meta
PII: 2441-2446-1691-SCT-4-2025, Publication Type: Journal Article
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