IDEAS home Printed from https://ideas.repec.org/a/eee/energy/v290y2024ics0360544223035624.html
   My bibliography  Save this article

Experimental research and prediction of heat generation during plastics, coal and biomass waste combustion using thermal analysis methods

Author

Listed:
  • Kijo-Kleczkowska, Agnieszka
  • Gnatowski, Adam
  • Krzywanski, Jaroslaw
  • Gajek, Marcin
  • Szumera, Magdalena
  • Tora, Barbara
  • Kogut, Krzysztof
  • Knaś, Krzysztof

Abstract

The development of civilization is associated with generating an increasing amount of various types of waste. More and more restrictive legal regulations require limiting their storage, which thermal methods should replace. Thermal recycling of plastic waste also enables the use of their energy potential.

Suggested Citation

  • Kijo-Kleczkowska, Agnieszka & Gnatowski, Adam & Krzywanski, Jaroslaw & Gajek, Marcin & Szumera, Magdalena & Tora, Barbara & Kogut, Krzysztof & Knaś, Krzysztof, 2024. "Experimental research and prediction of heat generation during plastics, coal and biomass waste combustion using thermal analysis methods," Energy, Elsevier, vol. 290(C).
    • Handle: RePEc:eee:energy:v:290:y:2024:i:c:s0360544223035624
    DOI: 10.1016/j.energy.2023.130168
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0360544223035624
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.energy.2023.130168?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. Jayaraman, Kandasamy & Kok, Mustafa Versan & Gokalp, Iskender, 2017. "Thermogravimetric and mass spectrometric (TG-MS) analysis and kinetics of coal-biomass blends," Renewable Energy, Elsevier, vol. 101(C), pages 293-300.
    2. Dorian Skrobek & Jaroslaw Krzywanski & Marcin Sosnowski & Ghulam Moeen Uddin & Waqar Muhammad Ashraf & Karolina Grabowska & Anna Zylka & Anna Kulakowska & Wojciech Nowak, 2023. "Artificial Intelligence for Energy Processes and Systems: Applications and Perspectives," Energies, MDPI, vol. 16(8), pages 1-12, April.
    3. Guo, Qian & Tang, Yibo, 2022. "Laboratory investigation of the spontaneous combustion characteristics and mechanisms of typical vegetable oils," Energy, Elsevier, vol. 241(C).
    4. Qiu, Shuxing & Zhang, Shengfu & Zhou, Xiaohu & Zhang, Qingyun & Qiu, Guibao & Hu, Meilong & You, Zhixiong & Wen, Liangying & Bai, Chenguang, 2019. "Thermal behavior and organic functional structure of poplar-fat coal blends during co-pyrolysis," Renewable Energy, Elsevier, vol. 136(C), pages 308-316.
    5. Jaroslaw Krzywanski & Tomasz Czakiert & Anna Zylka & Wojciech Nowak & Marcin Sosnowski & Karolina Grabowska & Dorian Skrobek & Karol Sztekler & Anna Kulakowska & Waqar Muhammad Ashraf & Yunfei Gao, 2022. "Modelling of SO 2 and NO x Emissions from Coal and Biomass Combustion in Air-Firing, Oxyfuel, iG-CLC, and CLOU Conditions by Fuzzy Logic Approach," Energies, MDPI, vol. 15(21), pages 1-17, October.
    6. Qiao, Yanyu & Chen, Zhichao & Wu, Xiaolan & Li, Zhengqi, 2023. "Investigation on co-combustion of semi-coke and bituminous coal in oxygen-enriched atmosphere: Combustion, thermal conversion, and kinetic analyses," Energy, Elsevier, vol. 269(C).
    7. Agnieszka Kijo-Kleczkowska & Adam Gnatowski, 2022. "Recycling of Plastic Waste, with Particular Emphasis on Thermal Methods—Review," Energies, MDPI, vol. 15(6), pages 1-21, March.
    8. Yang, Jian & Zhang, Tiezhu & Hong, Jichao & Zhang, Hongxin & Zhao, Qinghai & Meng, Zewen, 2021. "Research on driving control strategy and Fuzzy logic optimization of a novel mechatronics-electro-hydraulic power coupling electric vehicle," Energy, Elsevier, vol. 233(C).
    9. Rezk, Hegazy & Inayat, Abrar & Abdelkareem, Mohammad A. & Olabi, Abdul G. & Nassef, Ahmed M., 2022. "Optimal operating parameter determination based on fuzzy logic modeling and marine predators algorithm approaches to improve the methane production via biomass gasification," Energy, Elsevier, vol. 239(PB).
    10. Krzywanski, J. & Czakiert, T. & Nowak, W. & Shimizu, T. & Zylka, A. & Idziak, K. & Sosnowski, M. & Grabowska, K., 2022. "Gaseous emissions from advanced CLC and oxyfuel fluidized bed combustion of coal and biomass in a complex geometry facility:A comprehensive model," Energy, Elsevier, vol. 251(C).
    11. Żukowski, Witold & Jankowski, Dawid & Wrona, Jan & Berkowicz-Płatek, Gabriela, 2023. "Combustion behavior and pollutant emission characteristics of polymers and biomass in a bubbling fluidized bed reactor," Energy, Elsevier, vol. 263(PD).
    12. Zahedi, R. & Ardehali, M.M., 2020. "Power management for storage mechanisms including battery, supercapacitor, and hydrogen of autonomous hybrid green power system utilizing multiple optimally-designed fuzzy logic controllers," Energy, Elsevier, vol. 204(C).
    13. López-González, D. & Avalos-Ramirez, A. & Giroir-Fendler, A. & Godbout, S. & Fernandez-Lopez, M. & Sanchez-Silva, L. & Valverde, J.L., 2015. "Combustion kinetic study of woody and herbaceous crops by thermal analysis coupled to mass spectrometry," Energy, Elsevier, vol. 90(P2), pages 1626-1635.
    Full references (including those not matched with items on IDEAS)

    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. Ma, Liyang & Zhang, Lan & Wang, Deming & Xin, Haihui & Ma, Qiulin, 2023. "Effect of oxygen-supply on the reburning reactivity of pyrolyzed residual from sub-bituminous coal: A reactive force field molecular dynamics simulation," Energy, Elsevier, vol. 283(C).
    2. Yu, Haoyang & Gao, Mingming & Zhang, Hongfu & Yue, Guangxi & Zhang, Zhen, 2023. "Data-driven optimization of pollutant emission and operational efficiency for circulating fluidized bed unit," Energy, Elsevier, vol. 281(C).
    3. Zhao, Chengxuan & Yang, Xiao & Yu, Jie & Yang, Minghan & Wang, Jianye & Chen, Shuai, 2023. "Interval type-2 fuzzy logic control for a space nuclear reactor core power system," Energy, Elsevier, vol. 280(C).
    4. Weng, Jun-Jie & Tian, Zhen-Yu & Liu, Yue-Xi & Pan, Yang & Zhu, Ya-Nan, 2020. "Investigation on the co-combustion mechanism of coal and biomass on a fixed-bed reactor with advanced mass spectrometry," Renewable Energy, Elsevier, vol. 149(C), pages 1068-1076.
    5. Yi, Honghong & Yang, Zhongyu & Tang, Xiaolong & Zhao, Shunzheng & Gao, Fengyu & Wang, Jiangen & Huang, Yonghai & Yang, Kun & Shi, Yiran & Xie, Xizhou, 2018. "Variations of apparent activation energy based on thermodynamics analysis of zeolitic imidazolate frameworks including pyrolysis and combustion," Energy, Elsevier, vol. 151(C), pages 782-798.
    6. Marcin Kaminski & Tomasz Tarczewski, 2023. "Neural Network Applications in Electrical Drives—Trends in Control, Estimation, Diagnostics, and Construction," Energies, MDPI, vol. 16(11), pages 1-25, May.
    7. Ni, Guanhua & Dou, Haoran & Li, Zhao & Zhu, Chuanjie & Sun, Gongshuai & Hu, Xiangming & Wang, Gang & Liu, Yixin & Wang, Zhenyang, 2022. "Study on the combustion characteristics of bituminous coal modified by typical inorganic acids," Energy, Elsevier, vol. 261(PA).
    8. Du, Yanxiang & Liang, Jin & Yang, Shiliang & Hu, Jianhang & Bao, Guirong & Wang, Hua, 2022. "Numerical investigation of the Ni-based catalytic methanation process in a bubbling fluidized bed reactor," Energy, Elsevier, vol. 257(C).
    9. Salma Taqi Ghulam & Hatem Abushammala, 2023. "Challenges and Opportunities in the Management of Electronic Waste and Its Impact on Human Health and Environment," Sustainability, MDPI, vol. 15(3), pages 1-22, January.
    10. Ghoroghi, Ali & Petri, Ioan & Rezgui, Yacine & Alzahrani, Ateyah, 2023. "A deep learning approach to predict and optimise energy in fish processing industries," Renewable and Sustainable Energy Reviews, Elsevier, vol. 186(C).
    11. Zhenghui Xu & Xiang Xiao & Ping Fang & Lyumeng Ye & Jianhang Huang & Haiwen Wu & Zijun Tang & Dongyao Chen, 2020. "Comparison of Combustion and Pyrolysis Behavior of the Peanut Shells in Air and N 2 : Kinetics, Thermodynamics and Gas Emissions," Sustainability, MDPI, vol. 12(2), pages 1-14, January.
    12. Zhao, Jingyu & Hang, Gai & Song, Jiajia & Lu, Shiping & Ming, Hanqi & Chang, Jiaming & Deng, Jun & Zhang, Yanni & Shu, Chi-Min, 2023. "Spontaneous oxidation kinetics of weathered coal based upon thermogravimetric characteristics," Energy, Elsevier, vol. 275(C).
    13. Gouws, S.M. & Carrier, M. & Bunt, J.R. & Neomagus, H.W.J.P., 2021. "Co-pyrolysis of coal and raw/torrefied biomass: A review on chemistry, kinetics and implementation," Renewable and Sustainable Energy Reviews, Elsevier, vol. 135(C).
    14. Hong, Jichao & Zhang, Tiezhu & Zhang, Zhen & Zhang, Hongxin, 2023. "Investigation of energy management strategy for a novel electric-hydraulic hybrid vehicle: Self-adaptive electric-hydraulic ratio," Energy, Elsevier, vol. 278(C).
    15. 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.
    16. Wen, Shaoting & Yan, Youping & Liu, Jingyong & Buyukada, Musa & Evrendilek, Fatih, 2019. "Pyrolysis performance, kinetic, thermodynamic, product and joint optimization analyses of incense sticks in N2 and CO2 atmospheres," Renewable Energy, Elsevier, vol. 141(C), pages 814-827.
    17. Hou, Guolian & Fan, Yuzhen & Wang, Junjie, 2024. "Application of a novel dynamic recurrent fuzzy neural network with rule self-adaptation based on chaotic quantum pigeon-inspired optimization in modeling for gas turbine," Energy, Elsevier, vol. 290(C).
    18. Maestre, V.M. & Ortiz, A. & Ortiz, I., 2021. "Challenges and prospects of renewable hydrogen-based strategies for full decarbonization of stationary power applications," Renewable and Sustainable Energy Reviews, Elsevier, vol. 152(C).
    19. Juan D. Velásquez & Lorena Cadavid & Carlos J. Franco, 2023. "Intelligence Techniques in Sustainable Energy: Analysis of a Decade of Advances," Energies, MDPI, vol. 16(19), pages 1-45, October.
    20. Tariq, Rumaisa & Mohd Zaifullizan, Yasmin & Salema, Arshad Adam & Abdulatif, Atiqah & Ken, Loke Shun, 2022. "Co-pyrolysis and co-combustion of orange peel and biomass blends: Kinetics, thermodynamic, and ANN application," Renewable Energy, Elsevier, vol. 198(C), pages 399-414.

    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:energy:v:290:y:2024:i:c:s0360544223035624. 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.journals.elsevier.com/energy .

    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.