Abstract
There are many influencing variables when it comes to designing a thermal conversion system for biomass and other fuels. One of the most important factors is the higher heating value (HHV). HHV is commonly measured using a bomb calorimeter; however, in order to reduce analysis costs, many correlation models have also been developed to estimate HHV. Various models have been proposed in existing literature to predict the HHV of biomass and other fuels based on proximate and ultimate analysis composition. Unfortunately, correlations for the prediction of the HHV of fuels using the hydrothermal carbonization process or hydrochar are still difficult to find in open literature. In this study, two new correlations based on proximate and ultimate analysis of biomass and hydrothermally carbonized biomass (hydrochar) used for the prediction of HHV are presented. The multiple linear regression method is used to generate correlations from data on biomass collected from open literature. It was found that the correlation derived from the ultimate analysis (HHV = 0.441 C − 0.043 O) is more accurate than that derived from proximate analysis, since the former has the lowest average absolute error and an average bias error below 1.
Similar content being viewed by others
Data availability
The authors confirm that the data supporting the findings of this study are available within the article. The raw data that support the findings of this study is available from the corresponding author upon reasonable request.
References
Oliveira I, Blöhse D, Ramke HG (2013) Hydrothermal carbonization of agricultural residues. Biores Technol 142:138–146. https://doi.org/10.1016/j.biortech.2013.04.125
Pala M, Kantarli IC, Buyukisik HB, Yanik J (2014) Hydrothermal carbonization and torrefaction of grape pomace: a comparative evaluation. Biores Technol 161:255–262. https://doi.org/10.1016/j.biortech.2014.03.052
Kim D, Lee K, Bae D, Park KY (2017) Characterizations of biochar from hydrothermal carbonization of exhausted coffee residue. J Mater Cycles Waste Manag 19:1036–1043. https://doi.org/10.1007/s10163-016-0572-2
Heilmann SM, Davis HT, Jader LR et al (2010) Hydrothermal carbonization of microalgae. Biomass Bioenerg 34:875–882. https://doi.org/10.1016/j.biombioe.2010.01.032
Li L, Diederick R, Flora JRV, Berge ND (2013) Hydrothermal carbonization of food waste and associated packaging materials for energy source generation. Waste Manag 33:2478–2492. https://doi.org/10.1016/j.wasman.2013.05.025
Quitain AT, Faisal M, Kang K et al (2002) Low-molecular-weight carboxylic acids produced from hydrothermal treatment of organic wastes. J Hazard Mater 93:209–220. https://doi.org/10.1016/S0304-3894(02)00024-9
Islam MA, Paul J, Akter J et al (2021) Conversion of chicken feather waste via hydrothermal carbonization: process optimization and the effect of hydrochar on seed germination of Acacia auriculiformis. J Mater Cycles Waste Manag 23:1177–1188. https://doi.org/10.1007/s10163-021-01209-4
Matsakas L, Gao Q, Jansson S et al (2017) Green conversion of municipal solid wastes into fuels and chemicals. Electron J Biotechnol 26:69–83
Kaushik R, Parshetti GK, Liu Z, Balasubramanian R (2014) Enzyme-assisted hydrothermal treatment of food waste for co-production of hydrochar and bio-oil. Biores Technol 168:267–274. https://doi.org/10.1016/j.biortech.2014.03.022
Miao J, Jing Z, Fan H et al (2021) A novel humidity regulating material hydrothermally synthetized from concrete waste. J Mater Cycles Waste Manag 23:139–148. https://doi.org/10.1007/s10163-020-01110-6
Tasca AL, Puccini M, Stefanelli E et al (2020) Investigating the activation of hydrochar from sewage sludge for the removal of terbuthylazine from aqueous solutions. J Mater Cycles Waste Manag 22:1539–1551. https://doi.org/10.1007/s10163-020-01045-y
Jomaa S, Shanableh A, Khalil W, Trebilco B (2003) Hydrothermal decomposition and oxidation of the organic component of municipal and industrial waste products. Adv Environ Res 7:647–653. https://doi.org/10.1016/S1093-0191(02)00042-4
Hou H, Yu C, Liu X et al (2019) N-doped carbon microspheres anode from expired vitamin B1 injections for lithium ion battery. J Mater Cycles Waste Manag 21:1123–1131. https://doi.org/10.1007/s10163-019-00866-w
Funke A, Ziegler F (2010) Hydrothermal carbonization of biomass: a summary and discussion of chemical mechanisms for process engineering. Biofuels Bioprod Biorefin 4:160–177. https://doi.org/10.1002/bbb.198
Hoekman SK, Broch A, Robbins C (2011) Hydrothermal carbonization (HTC) of lignocellulosic biomass. Energy Fuels 25:1802–1810. https://doi.org/10.1021/ef101745n
Yan M, He L, Prabowo B et al (2018) Effect of pressure and atmosphere during hydrothermal treatment on the properties of sewage sludge-derived solid fuel. J Mater Cycles Waste Manag 20:1594–1604. https://doi.org/10.1007/s10163-018-0723-8
Djaenudin D, Permana D, Ependi M, Putra HE (2021) Experimental studies on hydrothermal treatment of municipal solid waste for solid fuel production. J Ecol Eng 22:208–215. https://doi.org/10.12911/22998993/141588
Putra HE, Djaenudin D, Damanhuri E et al (2021) Hydrothermal carbonization kinetics of lignocellulosic municipal solid waste. J Ecol Eng 22:188–198. https://doi.org/10.12911/22998993/132659
Channiwala SA, Parikh PP (2002) A unified correlation for estimating HHV of solid, liquid and gaseous fuels. Fuel 81:1051–1063. https://doi.org/10.1016/S0016-2361(01)00131-4
Yin C-Y (2011) Prediction of higher heating values of biomass from proximate and ultimate analyses. Fuel 90:1128–1132. https://doi.org/10.1016/J.FUEL.2010.11.031
Sheng C, Azevedo JLT (2005) Estimating the higher heating value of biomass fuels from basic analysis data. Biomass Bioenerg 28:499–507. https://doi.org/10.1016/j.biombioe.2004.11.008
Nhuchhen DR, Abdul Salam P (2012) Estimation of higher heating value of biomass from proximate analysis: a new approach. Fuel 99:55–63. https://doi.org/10.1016/j.fuel.2012.04.015
Vargas-Moreno JM, Callejón-Ferre AJ, Pérez-Alonso J, Velázquez-Martí B (2012) A review of the mathematical models for predicting the heating value of biomass materials. Renew Sustain Energy Rev 16:3065–3083
Nhuchhen DR, Afzal MT (2017) HHV predicting correlations for torrefied biomass using proximate and ultimate analyses. Bioengineering. https://doi.org/10.3390/bioengineering4010007
ÖzyuǧUran A, Yaman S (2017) Prediction of calorific value of biomass from proximate analysis. In: Caetano N, Felgueiras MC, Forment MA (eds) Energy procedia. Elsevier, London, pp 130–136
Qian X, Lee S, Soto AM, Chen G (2018) Regression model to predict the higher heating value of poultry waste from proximate analysis. Resources 7:1–14. https://doi.org/10.3390/resources7030039
Cordero T, Marquez F, Rodriguez-Mirasol J, Rodriguez J (2001) Predicting heating values of lignocellulosics and carbonaceous materials from proximate analysis. Fuel 80:1567–1571. https://doi.org/10.1016/S0016-2361(01)00034-5
Parikh J, Channiwala SA, Ghosal GK (2005) A correlation for calculating HHV from proximate analysis of solid fuels. Fuel 84:487–494. https://doi.org/10.1016/j.fuel.2004.10.010
Friedl A, Padouvas E, Rotter H, Varmuza K (2005) Prediction of heating values of biomass fuel from elemental composition. In: Buydens L, de Juan A (eds) Analytica chimica acta. Elsevier, London, pp 191–198
Erol M, Haykiri-Acma H, Küçükbayrak S (2010) Calorific value estimation of biomass from their proximate analyses data. Renew Energy 35:170–173. https://doi.org/10.1016/j.renene.2009.05.008
Jiménez L, González F (1991) Study of the physical and chemical properties of lignocellulosic residues with a view to the production of fuels. Fuel 70:947–950. https://doi.org/10.1016/0016-2361(91)90049-G
Tillman DA (1978) Wood as an energy resource. Academic Press, London
Baskyr I, Weiner B, Riedel G et al (2014) Wet oxidation of char–water-slurries from hydrothermal carbonization of paper and brewer’s spent grains. Fuel Process Technol 128:425–431. https://doi.org/10.1016/j.fuproc.2014.07.042
Benavente V, Calabuig E, Fullana A (2015) Upgrading of moist agro-industrial wastes by hydrothermal carbonization. J Anal Appl Pyrol 113:89–98. https://doi.org/10.1016/j.jaap.2014.11.004
Ebeling JM, Jenkins BM (1985) Physical and chemical properties of biomass fuels. Trans ASAE 28:898–902. https://doi.org/10.13031/2013.32359
Acknowledgements
This work was supported by Research Center for Environmental and Clean Technology, the National Research and Innovation Agency of Republic of Indonesia (BRIN). The authors thank to Scribendi (https://www.scribendi.com/) for editing a draft of this manuscript.
Author information
Authors and Affiliations
Contributions
HEP contributed to the conceptualization, methodology, investigation, data curation, formal analysis, visualization, writing of the original draft, reviewing, and editing. DP contributed to the conceptualization, writing, reviewing, and editing. D contributed to the conceptualization, writing, reviewing, and editing. All the authors wrote the manuscript. All the authors contributed to the discussion of the paper and approved the final manuscript.
Corresponding author
Ethics declarations
Competing of interests
The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.
Additional information
Publisher's Note
Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
Supplementary Information
Below is the link to the electronic supplementary material.
Rights and permissions
About this article
Cite this article
Putra, H.E., Permana, D. & Djaenudin Prediction of higher heating value of solid fuel produced by hydrothermal carbonization of empty fruit bunch and various biomass feedstock. J Mater Cycles Waste Manag 24, 2162–2171 (2022). https://doi.org/10.1007/s10163-022-01463-0
Received:
Accepted:
Published:
Issue Date:
DOI: https://doi.org/10.1007/s10163-022-01463-0