IDEAS home Printed from https://ideas.repec.org/a/eee/appene/v205y2017icp511-528.html
   My bibliography  Save this article

Predictive temperature modeling and experimental investigation of ultrasonic vibration-assisted pelleting of wheat straw

Author

Listed:
  • Zhang, Qi
  • Shi, Zhenzhen
  • Zhang, Pengfei
  • Li, Zhichao
  • Jaberi-Douraki, Majid

Abstract

Ethanol made from cellulosic biomass is an alternative to petroleum-based liquid transportation fuels. However, large-scale manufacturing of cellulosic ethanol is hindered by several factors. The main factor driving this hindrance is the low density of cellulosic biomass. Ultrasonic vibration-assisted pelleting can effectively increase cellulosic biomass density by compressing raw biomass into pellets, reducing transportation and storage costs. Pelleting temperature has also been identified as a key parameter influencing pellet quality. In this paper, a predictive mathematical model of pelleting temperature using spatio-temporal dynamics was developed to study multiple factors affecting temperature rise through pelleting. The mathematical model was then validated with experimental data along with high goodness of fit (average R2>0.83). Effects of three input variables (ultrasonic power, pelleting pressure, and pellet weight) on temperature ranges (highest temperature point and lowest temperature point) were investigated using a 23 (two levels and three variables) factorial design. Our results indicated that friction between mold and biomass has a marginal effect on the temperature profiles, and demonstrated the highest and lowest temperature points are significantly correlated to the input variables (ultrasonic power, pellet weight, and pellet pressure) and their interaction effects. The proposed mathematical model delivers a new guideline by avoiding unnecessary experiments and provides a systematic understanding of temperature profiles during the biomass pelleting process. Knowledge transferred from the current study fulfills the literature gap between mathematical modeling research and an optimal, ultrasonic, vibration-assisted pelleting process; and, therefore, provides insight into improving biomass quality in energy-related ultrasonic manufacturing.

Suggested Citation

  • Zhang, Qi & Shi, Zhenzhen & Zhang, Pengfei & Li, Zhichao & Jaberi-Douraki, Majid, 2017. "Predictive temperature modeling and experimental investigation of ultrasonic vibration-assisted pelleting of wheat straw," Applied Energy, Elsevier, vol. 205(C), pages 511-528.
  • Handle: RePEc:eee:appene:v:205:y:2017:i:c:p:511-528
    DOI: 10.1016/j.apenergy.2017.07.080
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0306261917309522
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.apenergy.2017.07.080?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Edward M. Rubin, 2008. "Genomics of cellulosic biofuels," Nature, Nature, vol. 454(7206), pages 841-845, August.
    2. Domínguez, Elena & Romaní, Aloia & Domingues, Lucília & Garrote, Gil, 2017. "Evaluation of strategies for second generation bioethanol production from fast growing biomass Paulownia within a biorefinery scheme," Applied Energy, Elsevier, vol. 187(C), pages 777-789.
    3. Robert Perlack, Robert & Eaton, Lawrence & Thurhollow, Anthony & Langholtz, Matt & De La Torre Ugarte, Daniel, 2011. "US billion-ton update: biomass supply for a bioenergy and bioproducts industry," MPRA Paper 89324, University Library of Munich, Germany, revised 2011.
    4. Borello, D. & Cedola, L. & Frangioni, G.V. & Meloni, R. & Venturini, P. & De Filippis, P. & de Caprariis, B., 2016. "Development of a numerical model for biomass packed bed pyrolysis based on experimental validation," Applied Energy, Elsevier, vol. 164(C), pages 956-962.
    5. Zhang, Qi & Zhang, Pengfei & Pei, Zhijian & Rys, Malgorzata & Wang, Donghai & Zhou, Jiping, 2016. "Ultrasonic vibration-assisted pelleting of cellulosic biomass for ethanol manufacturing: An investigation on pelleting temperature," Renewable Energy, Elsevier, vol. 86(C), pages 895-908.
    6. Zhang, Qi & Zhang, Pengfei & Pei, Zhijian & Wang, Donghai, 2017. "Investigation on characteristics of corn stover and sorghum stalk processed by ultrasonic vibration-assisted pelleting," Renewable Energy, Elsevier, vol. 101(C), pages 1075-1086.
    7. Mesa, Leyanis & González, Erenio & Ruiz, Encarnación & Romero, Inmaculada & Cara, Cristóbal & Felissia, Fernando & Castro, Eulogio, 2010. "Preliminary evaluation of organosolv pre-treatment of sugar cane bagasse for glucose production: Application of 23 experimental design," Applied Energy, Elsevier, vol. 87(1), pages 109-114, January.
    8. Zhang, Qi & Zhang, Pengfei & Pei, Zhijian & Wang, Donghai, 2013. "Ultrasonic vibration-assisted pelleting for cellulosic biofuel manufacturing: Investigation on power consumption," Renewable Energy, Elsevier, vol. 55(C), pages 175-181.
    9. Ahn, Yu-Chan & Lee, In-Beum & Lee, Kun-Hong & Han, Jee-Hoon, 2015. "Strategic planning design of microalgae biomass-to-biodiesel supply chain network: Multi-period deterministic model," Applied Energy, Elsevier, vol. 154(C), pages 528-542.
    10. Zhang, Qi & Zhang, Pengfei & Pei, Z.J. & Xu, Feng & Wang, Donghai & Vadlani, Praveen, 2015. "Effects of ultrasonic vibration-assisted pelleting on chemical composition and sugar yield of corn stover and sorghum stalk," Renewable Energy, Elsevier, vol. 76(C), pages 160-166.
    11. Li, Yuzhou & Ning, Fuda & Cong, Weilong & Zhang, Meng & Tang, Yongjun, 2016. "Investigating pellet charring and temperature in ultrasonic vibration-assisted pelleting of wheat straw for cellulosic biofuel manufacturing," Renewable Energy, Elsevier, vol. 92(C), pages 312-320.
    12. Gustafsson, Stig-Inge & Andersson, Susanne & Karlsson, Björn G., 1994. "Fractional factorial design for energy systems," Applied Energy, Elsevier, vol. 49(3), pages 215-222.
    13. Ebadian, Mahmood & Sowlati, Taraneh & Sokhansanj, Shahab & Townley-Smith, Lawrence & Stumborg, Mark, 2013. "Modeling and analysing storage systems in agricultural biomass supply chain for cellulosic ethanol production," Applied Energy, Elsevier, vol. 102(C), pages 840-849.
    14. Sosa, Amanda & Acuna, Mauricio & McDonnell, Kevin & Devlin, Ger, 2015. "Controlling moisture content and truck configurations to model and optimise biomass supply chain logistics in Ireland," Applied Energy, Elsevier, vol. 137(C), pages 338-351.
    15. Mikulandrić, Robert & Vermeulen, Brecht & Nicolai, Bart & Saeys, Wouter, 2016. "Modelling of thermal processes during extrusion based densification of agricultural biomass residues," Applied Energy, Elsevier, vol. 184(C), pages 1316-1331.
    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. Li, Yudi & Xu, Hongguang & Jing, Chenghu & Jiang, Jihai & Hou, Xuyan, 2019. "A novel heat transfer model of biomass briquettes based on secondary development in EDEM," Renewable Energy, Elsevier, vol. 131(C), pages 1247-1254.
    2. 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.

    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. 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.
    2. Zhang, Qi & Zhang, Pengfei & Pei, Zhijian & Rys, Malgorzata & Wang, Donghai & Zhou, Jiping, 2016. "Ultrasonic vibration-assisted pelleting of cellulosic biomass for ethanol manufacturing: An investigation on pelleting temperature," Renewable Energy, Elsevier, vol. 86(C), pages 895-908.
    3. Malladi, Krishna Teja & Sowlati, Taraneh, 2018. "Biomass logistics: A review of important features, optimization modeling and the new trends," Renewable and Sustainable Energy Reviews, Elsevier, vol. 94(C), pages 587-599.
    4. Wang, Yu & Ebadian, Mahmood & Sokhansanj, Shahab & Webb, Erin & Lau, Anthony, 2017. "Impact of the biorefinery size on the logistics of corn stover supply – A scenario analysis," Applied Energy, Elsevier, vol. 198(C), pages 360-376.
    5. Zhang, Qi & Zhang, Pengfei & Pei, Zhijian & Wang, Donghai, 2017. "Investigation on characteristics of corn stover and sorghum stalk processed by ultrasonic vibration-assisted pelleting," Renewable Energy, Elsevier, vol. 101(C), pages 1075-1086.
    6. Mohamed Abdul Ghani, N. Muhammad Aslaam & Vogiatzis, Chrysafis & Szmerekovsky, Joseph, 2018. "Biomass feedstock supply chain network design with biomass conversion incentives," Energy Policy, Elsevier, vol. 116(C), pages 39-49.
    7. Ebers Broughel, Anna, 2019. "Impact of state policies on generating capacity for production of electricity and combined heat and power from forest biomass in the United States," Renewable Energy, Elsevier, vol. 134(C), pages 1163-1172.
    8. Sui, Haiqing & Chen, Jianfeng & Cheng, Wei & Zhu, Youjian & Zhang, Wennan & Hu, Junhao & Jiang, Hao & Shao, Jing'ai & Chen, Hanping, 2024. "Effect of oxidative torrefaction on fuel and pelletizing properties of agricultural biomass in comparison with non-oxidative torrefaction," Renewable Energy, Elsevier, vol. 226(C).
    9. Olatunde, Gbenga A. & Fasina, Oladiran O., 2019. "Influence of drag equations on computational fluid dynamic modeling of fluidization behavior of loblolly pine wood grinds," Renewable Energy, Elsevier, vol. 139(C), pages 651-660.
    10. Chai, Li & Saffron, Christopher M., 2016. "Comparing pelletization and torrefaction depots: Optimization of depot capacity and biomass moisture to determine the minimum production cost," Applied Energy, Elsevier, vol. 163(C), pages 387-395.
    11. Kacper Świechowski & Marek Liszewski & Przemysław Bąbelewski & Jacek A. Koziel & Andrzej Białowiec, 2019. "Fuel Properties of Torrefied Biomass from Pruning of Oxytree," Data, MDPI, vol. 4(2), pages 1-10, April.
    12. Eising, Jan Willem & van Onna, Tom & Alkemade, Floortje, 2014. "Towards smart grids: Identifying the risks that arise from the integration of energy and transport supply chains," Applied Energy, Elsevier, vol. 123(C), pages 448-455.
    13. Liu, Liwei & Ye, Junhong & Zhao, Yufei & Zhao, Erdong, 2015. "The plight of the biomass power generation industry in China – A supply chain risk perspective," Renewable and Sustainable Energy Reviews, Elsevier, vol. 49(C), pages 680-692.
    14. Wang, Ping & Liu, Chaoqi & Chang, Juan & Yin, Qingqiang & Huang, Weiwei & Liu, Yang & Dang, Xiaowei & Gao, Tianzeng & Lu, Fushan, 2019. "Effect of physicochemical pretreatments plus enzymatic hydrolysis on the composition and morphologic structure of corn straw," Renewable Energy, Elsevier, vol. 138(C), pages 502-508.
    15. Mesa, Leyanis & López, Nancy & Cara, Cristóbal & Castro, Eulogio & González, Erenio & Mussatto, Solange I., 2016. "Techno-economic evaluation of strategies based on two steps organosolv pretreatment and enzymatic hydrolysis of sugarcane bagasse for ethanol production," Renewable Energy, Elsevier, vol. 86(C), pages 270-279.
    16. Caspeta, Luis & Caro-Bermúdez, Mario A. & Ponce-Noyola, Teresa & Martinez, Alfredo, 2014. "Enzymatic hydrolysis at high-solids loadings for the conversion of agave bagasse to fuel ethanol," Applied Energy, Elsevier, vol. 113(C), pages 277-286.
    17. Qin, Fanzhi & Zhang, Chen & Zeng, Guangming & Huang, Danlian & Tan, Xiaofei & Duan, Abing, 2022. "Lignocellulosic biomass carbonization for biochar production and characterization of biochar reactivity," Renewable and Sustainable Energy Reviews, Elsevier, vol. 157(C).
    18. Zhong, Yuan & Chen, Rui & Rojas-Sossa, Juan-Pablo & Isaguirre, Christine & Mashburn, Austin & Marsh, Terence & Liu, Yan & Liao, Wei, 2020. "Anaerobic co-digestion of energy crop and agricultural wastes to prepare uniform-format cellulosic feedstock for biorefining," Renewable Energy, Elsevier, vol. 147(P1), pages 1358-1370.
    19. Kwon, Oseok & Han, Jeehoon, 2021. "Waste-to-bioethanol supply chain network: A deterministic model," Applied Energy, Elsevier, vol. 300(C).
    20. Liu, Yao & Zheng, Xiaojie & Tao, Shunhui & Hu, Lei & Zhang, Xiaodong & Lin, Xiaoqing, 2021. "Process optimization for deep eutectic solvent pretreatment and enzymatic hydrolysis of sugar cane bagasse for cellulosic ethanol fermentation," Renewable Energy, Elsevier, vol. 177(C), pages 259-267.

    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:eee:appene:v:205:y:2017:i:c:p:511-528. 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: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/wps/find/journaldescription.cws_home/405891/description#description .

    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.