IDEAS home Printed from https://ideas.repec.org/a/gam/jeners/v16y2023i14p5351-d1193106.html
   My bibliography  Save this article

Comprehensive Assessment of Biomass Properties for Energy Usage Using Near-Infrared Spectroscopy and Spectral Multi-Preprocessing Techniques

Author

Listed:
  • Bijendra Shrestha

    (Department of Agricultural Engineering, School of Engineering, King Mongkut’s Institute of Technology Ladkrabang, Bangkok 10520, Thailand)

  • Jetsada Posom

    (Department of Agricultural Engineering, Faculty of Engineering, Khon Kaen University, Khon Kaen 40002, Thailand
    Center for Alternative Energy Research and Development, Khon Kaen University, Khon Kaen 40002, Thailand)

  • Panmanas Sirisomboon

    (Department of Agricultural Engineering, School of Engineering, King Mongkut’s Institute of Technology Ladkrabang, Bangkok 10520, Thailand)

  • Bim Prasad Shrestha

    (Department of Mechanical Engineering, Kathmandu University, Dhulikhel P.O. Box 6250, Nepal
    Department of Bioengineering, University of Washington, Seattle, WA 98195, USA)

Abstract

In this study, partial least squares regression (PLSR) models were developed using no preprocessing, traditional preprocessing, multi-preprocessing 5-range, multi-preprocessing 3-range, a genetic algorithm (GA), and a successive projection algorithm (SPA) to assess the higher heating value (HHV) and ultimate analysis of grounded biomass for energy usage by employing near-infrared (NIR) spectroscopy. A novel approach was utilized based on the assumption that using multiple pretreatment methods across different sections in the entire NIR wavenumber range would enhance the performance of the model. The performance of the model obtained from 200 biomass samples for HHV and 120 samples for ultimate analysis were compared, and the best model was selected based on the coefficient of determination of the validation set, root mean square error of prediction, and the ratio of prediction to deviation values. Based on the model performance results, the proposed HHV model from GA-PLSR and the N models from the multi-preprocessing PLSR 5-range could be used for most applications, including research, whereas the C and H models from GA-PLSR and the O model from the multi-preprocessing PLSR 5 range method 5-range air performance and are applicable only for rough screening. The overall findings highlight that the multi-preprocessing 5-range method, which was attempted as a novel approach in this study to develop the PLSR model, demonstrated better accuracy for HHV, C, N, and O, improving these models by 4.1839%, 8.1842%, 3.7587%, and 4.0085%, respectively. Therefore, this method can be considered a reliable and non-destructive alternative method for rapidly assessing biomass properties for energy usage and can also be used effectively in biomass trading. However, due to the smaller number of samples used in the model development, more samples are needed to update the model for robust application.

Suggested Citation

  • Bijendra Shrestha & Jetsada Posom & Panmanas Sirisomboon & Bim Prasad Shrestha, 2023. "Comprehensive Assessment of Biomass Properties for Energy Usage Using Near-Infrared Spectroscopy and Spectral Multi-Preprocessing Techniques," Energies, MDPI, vol. 16(14), pages 1-26, July.
  • Handle: RePEc:gam:jeners:v:16:y:2023:i:14:p:5351-:d:1193106
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1996-1073/16/14/5351/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/1996-1073/16/14/5351/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Posom, Jetsada & Sirisomboon, Panmanas, 2017. "Evaluation of lower heating value and elemental composition of bamboo using near infrared spectroscopy," Energy, Elsevier, vol. 121(C), pages 147-158.
    2. Zhang, Ke & Zhou, Ling & Brady, Michael & Xu, Feng & Yu, Jianming & Wang, Donghai, 2017. "Fast analysis of high heating value and elemental compositions of sorghum biomass using near-infrared spectroscopy," Energy, Elsevier, vol. 118(C), pages 1353-1360.
    3. Posom, Jetsada & Shrestha, Amrit & Saechua, Wanphut & Sirisomboon, Panmanas, 2016. "Rapid non-destructive evaluation of moisture content and higher heating value of Leucaena leucocephala pellets using near infrared spectroscopy," Energy, Elsevier, vol. 107(C), pages 464-472.
    4. Sirisomboon, Panmanas & Funke, Axel & Posom, Jetsada, 2020. "Improvement of proximate data and calorific value assessment of bamboo through near infrared wood chips acquisition," Renewable Energy, Elsevier, vol. 147(P1), pages 1921-1931.
    5. Mahmudul Hasan & Yousef Haseli & Ernur Karadogan, 2018. "Correlations to Predict Elemental Compositions and Heating Value of Torrefied Biomass," Energies, MDPI, vol. 11(9), pages 1-15, September.
    6. Han, Kuihua & Gao, Jie & Qi, Jianhui, 2019. "The study of sulphur retention characteristics of biomass briquettes during combustion," Energy, Elsevier, vol. 186(C).
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Bijendra Shrestha & Jetsada Posom & Panmanas Sirisomboon & Bim Prasad Shrestha & Pimpen Pornchaloempong & Axel Funke, 2024. "NIR Spectroscopy as an Alternative to Thermogravimetric Analyzer for Biomass Proximate Analysis: Comparison of Chip and Ground Biomass Models," Energies, MDPI, vol. 17(4), pages 1-27, February.
    2. Bijendra Shrestha & Jetsada Posom & Pimpen Pornchaloempong & Panmanas Sirisomboon & Bim Prasad Shrestha & Hidayah Ariffin, 2024. "Near-Infrared Spectroscopy Modeling of Combustion Characteristics in Chip and Ground Biomass from Fast-Growing Trees and Agricultural Residue," Energies, MDPI, vol. 17(6), pages 1-27, March.
    3. Bijendra Shrestha & Jetsada Posom & Panmanas Sirisomboon & Bim Prasad Shrestha & Axel Funke, 2024. "Effect of Combined Non-Wood and Wood Spectra of Biomass Chips on Rapid Prediction of Ultimate Analysis Parameters Using near Infrared Spectroscopy," Energies, MDPI, vol. 17(2), pages 1-22, January.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Pitak, Lakkana & Sirisomboon, Panmanas & Saengprachatanarug, Khwantri & Wongpichet, Seree & Posom, Jetsada, 2021. "Rapid elemental composition measurement of commercial pellets using line-scan hyperspectral imaging analysis," Energy, Elsevier, vol. 220(C).
    2. Sirisomboon, Panmanas & Funke, Axel & Posom, Jetsada, 2020. "Improvement of proximate data and calorific value assessment of bamboo through near infrared wood chips acquisition," Renewable Energy, Elsevier, vol. 147(P1), pages 1921-1931.
    3. Jianhui Qi & Haopeng Li & Qian Wang & Kuihua Han, 2021. "Combustion Characteristics, Kinetics, SO 2 and NO Release of Low-Grade Biomass Materials and Briquettes," Energies, MDPI, vol. 14(9), pages 1-13, May.
    4. Aleksandra Minajeva & Algirdas Jasinskas & Rolandas Domeika & Edvardas Vaiciukevičius & Egidijus Lemanas & Stanisław Bielski, 2021. "The Study of the Faba Bean Waste and Potato Peels Recycling for Pellet Production and Usage for Energy Conversion," Energies, MDPI, vol. 14(10), pages 1-14, May.
    5. Gyeong-Min Kim & Dae-Gyun Lee & Chung-Hwan Jeon, 2019. "Fundamental Characteristics and Kinetic Analysis of Lignocellulosic Woody and Herbaceous Biomass Fuels," Energies, MDPI, vol. 12(6), pages 1-16, March.
    6. Anna Partridge & Ekaterina Sermyagina & Esa Vakkilainen, 2020. "Impact of Pretreatment on Hydrothermally Carbonized Spruce," Energies, MDPI, vol. 13(11), pages 1-13, June.
    7. Wentao Li & Mingfeng Wang & Fanbin Meng & Yifei Zhang & Bo Zhang, 2022. "A Review on the Effects of Pretreatment and Process Parameters on Properties of Pellets," Energies, MDPI, vol. 15(19), pages 1-23, October.
    8. Kim, Heeyoon & Yu, Seunghan & Ra, Howon & Yoon, Sungmin & Ryu, Changkook, 2023. "Prediction of pyrolysis kinetics for torrefied biomass based on raw biomass properties and torrefaction severity," Energy, Elsevier, vol. 278(C).
    9. Ziqiang Yang & Fenghai Li & Mingjie Ma & Xuefei Liu & Hongli Fan & Zhenzhu Li & Yong Wang & Yitian Fang, 2023. "Regulation Mechanism of Solid Waste on Ash Fusion Characteristics of Sorghum Straw under O 2 /CO 2 Atmosphere," Energies, MDPI, vol. 16(20), pages 1-17, October.
    10. Phisamas Hwangdee & Singrun Charee & Watcharin Kheowkrai & Chaiyan Junsiri & Kittipong Laloon, 2022. "Application of the Simplex-Centroid Mixture Design to Biomass Charcoal Powder Formulation Ratio for Biomass Charcoal Briquettes," Sustainability, MDPI, vol. 14(7), pages 1-15, March.
    11. Justyna Kujawska & Monika Kulisz & Piotr Oleszczuk & Wojciech Cel, 2023. "Improved Prediction of the Higher Heating Value of Biomass Using an Artificial Neural Network Model Based on the Selection of Input Parameters," Energies, MDPI, vol. 16(10), pages 1-16, May.
    12. Sirisomboon, Panmanas & Posom, Jetsada, 2019. "On-line measurement of activation energy of ground bamboo using near infrared spectroscopy," Renewable Energy, Elsevier, vol. 133(C), pages 480-488.
    13. Elena Leoni & Thomas Gasperini & Nicolò Di Marzio & Rodolfo Picchio & Giuseppe Toscano & Daniele Duca, 2024. "Application of Near Infrared Spectroscopy for the Detection of Chemically Treated Pellets Unsuitable for Combustion," Energies, MDPI, vol. 17(4), pages 1-16, February.
    14. Djandja, Oraléou Sangué & Duan, Pei-Gao & Yin, Lin-Xin & Wang, Zhi-Cong & Duo, Jia, 2021. "A novel machine learning-based approach for prediction of nitrogen content in hydrochar from hydrothermal carbonization of sewage sludge," Energy, Elsevier, vol. 232(C).
    15. Rahman, Abdur & Marufuzzaman, Mohammad & Street, Jason & Wooten, James & Gude, Veera Gnaneswar & Buchanan, Randy & Wang, Haifeng, 2024. "A comprehensive review on wood chip moisture content assessment and prediction," Renewable and Sustainable Energy Reviews, Elsevier, vol. 189(PA).
    16. Bijendra Shrestha & Jetsada Posom & Panmanas Sirisomboon & Bim Prasad Shrestha & Axel Funke, 2024. "Effect of Combined Non-Wood and Wood Spectra of Biomass Chips on Rapid Prediction of Ultimate Analysis Parameters Using near Infrared Spectroscopy," Energies, MDPI, vol. 17(2), pages 1-22, January.
    17. Posom, Jetsada & Sirisomboon, Panmanas, 2017. "Evaluation of lower heating value and elemental composition of bamboo using near infrared spectroscopy," Energy, Elsevier, vol. 121(C), pages 147-158.
    18. Adrian Knapczyk & Sławomir Francik & Marcin Jewiarz & Agnieszka Zawiślak & Renata Francik, 2020. "Thermal Treatment of Biomass: A Bibliometric Analysis—The Torrefaction Case," Energies, MDPI, vol. 14(1), pages 1-31, December.
    19. Xinjie, Liao & Shihong, Zhang & Xincheng, Wang & Jinai, Shao & Xiong, Zhang & Xianhua, Wang & Haiping, Yang & Hanping, Chen, 2021. "Co-combustion of wheat straw and camphor wood with coal slime: Thermal behaviour, kinetics, and gaseous pollutant emission characteristics," Energy, Elsevier, vol. 234(C).
    20. Łukasz Sobol & Dominika Sabat & Arkadiusz Dyjakon, 2023. "Assessment of Bark Properties from Various Tree Species in Terms of Its Hydrophobicity and Energy Suitability," Energies, MDPI, vol. 16(18), pages 1-21, September.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jeners:v:16:y:2023:i:14:p:5351-:d:1193106. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.