LAPSE:2026.0370
Published Article

LAPSE:2026.0370
Estimation of Thermodynamic Properties for Cellulosic Biomass-Derived Compounds: Application to Heat and Work Balances in Process Simulation
June 12, 2026
Abstract
Reliable data for the standard enthalpies and Gibbs free energies of formation, DHf° and DGf° are essential for process synthesis, energy integration, and lost-work analysis. However, many biomass-derived compounds lack reliable thermodynamic property data, limiting optimization of energy and carbon utilization in biomass conversion processes. This study proposes a composition-based method to estimate DHf° and DGf° for compounds containing carbon, hydrogen, and oxygen. The method exploits widely available heats of combustion data and establishes a linear correlation between the enthalpy and Gibbs free energy of combustion, DHC and DGC using tabulated organic compounds. The applicability of this relationship to biomass-derived compounds is tested using published data for cellulose, starch, and glucose. Thornton's correlation between heat of combustion and oxygen demand is then incorporated to derive simple expressions for estimating formation properties directly from elemental composition. The results show that the proposed framework provides sufficiently accurate estimates for conceptual thermodynamic analysis, enabling rapid evaluation of reaction enthalpies, minimum work requirements, equilibrium constants, and reaction driving forces. The method is therefore well suited for early-stage process synthesis and screening of biomass conversion pathways.
Reliable data for the standard enthalpies and Gibbs free energies of formation, DHf° and DGf° are essential for process synthesis, energy integration, and lost-work analysis. However, many biomass-derived compounds lack reliable thermodynamic property data, limiting optimization of energy and carbon utilization in biomass conversion processes. This study proposes a composition-based method to estimate DHf° and DGf° for compounds containing carbon, hydrogen, and oxygen. The method exploits widely available heats of combustion data and establishes a linear correlation between the enthalpy and Gibbs free energy of combustion, DHC and DGC using tabulated organic compounds. The applicability of this relationship to biomass-derived compounds is tested using published data for cellulose, starch, and glucose. Thornton's correlation between heat of combustion and oxygen demand is then incorporated to derive simple expressions for estimating formation properties directly from elemental composition. The results show that the proposed framework provides sufficiently accurate estimates for conceptual thermodynamic analysis, enabling rapid evaluation of reaction enthalpies, minimum work requirements, equilibrium constants, and reaction driving forces. The method is therefore well suited for early-stage process synthesis and screening of biomass conversion pathways.
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Anastasi AD, Masuku CM, Ravikumar P, Chundawat SP, Hildebrandt D. Estimation of Thermodynamic Properties for Cellulosic Biomass-Derived Compounds: Application to Heat and Work Balances in Process Simulation. Systems and Control Transactions 5:1318-1327 (2026) https://doi.org/10.69997/sct.155908
Author Affiliations
Anastasi AD: Rutgers, The State University of New Jersey, Department of Chemical and Biochemical Engineering, Piscataway, NJ, USA [ORCID]
Masuku CM: Purdue University, Davidson School of Chemical Engineering, West Lafayette, IN, USA [ORCID]
Ravikumar P: Rutgers, The State University of New Jersey, Department of Chemical and Biochemical Engineering, Piscataway, NJ, USA
Chundawat SP: Rutgers, The State University of New Jersey, Department of Chemical and Biochemical Engineering, Piscataway, NJ, USA [ORCID]
Hildebrandt D: Rutgers, The State University of New Jersey, Department of Chemical and Biochemical Engineering, Piscataway, NJ, USA [ORCID]
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Masuku CM: Purdue University, Davidson School of Chemical Engineering, West Lafayette, IN, USA [ORCID]
Ravikumar P: Rutgers, The State University of New Jersey, Department of Chemical and Biochemical Engineering, Piscataway, NJ, USA
Chundawat SP: Rutgers, The State University of New Jersey, Department of Chemical and Biochemical Engineering, Piscataway, NJ, USA [ORCID]
Hildebrandt D: Rutgers, The State University of New Jersey, Department of Chemical and Biochemical Engineering, Piscataway, NJ, USA [ORCID]
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Journal Name
Systems and Control Transactions
Volume
5
First Page
1318
Last Page
1327
Year
2026
Publication Date
2026-06-12
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Original Submission
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PII: 1318-1327-522-SCT-5-2026, Publication Type: Journal Article
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LAPSE:2026.0370
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LAPSE:2026.0036
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References Cited
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