IDEAS home Printed from https://ideas.repec.org/a/eee/energy/v131y2017icp251-258.html
   My bibliography  Save this article

Prediction models for chemical exergy of biomass on dry basis from ultimate analysis using available electron concepts

Author

Listed:
  • Qian, Hongliang
  • Zhu, Weiwei
  • Fan, Sudong
  • Liu, Chang
  • Lu, Xiaohua
  • Wang, Zhixiang
  • Huang, Dechun
  • Chen, Wei

Abstract

Prediction models, based on ultimate analysis of biomass on dry basis (db) which is leveraged to predict chemical exergy, were proposed in this study. A new concept — chemical exergy per equivalent of available electrons transferred to oxygen (reductance degree) of model 1 was established. The result shows that chemical exergy per reductance degree of model 1 is relatively constant for the values of most biomass (db) beyond the±1% relative error range. A modified reductance degree of biomass was presented, whereas oxygen (O) content was neglected due to its inaccurate value and the high p-value for the coefficient of O variable. Chemical exergy per modified reductance degree of models 2 and 3 was approximated to be nearly a constant. Thus, two theoretical prediction models (model 2 and model 3) for the biomass (db) with and without sulfate (920.08(C/3 + H + S/8), 920.72(C/3 + H)) were established, respectively. The coefficients of the two models are of almost the same value, which indicates that the S content has also a negligible effect on chemical exergy. Model 3 (920.72(C/3 + H)) is also herein proposed for prediction of exergy of biomass. The average relative errors of model 1, model 2 and model 3 are 2.882%, 0.643% and 0.634%, respectively.

Suggested Citation

  • Qian, Hongliang & Zhu, Weiwei & Fan, Sudong & Liu, Chang & Lu, Xiaohua & Wang, Zhixiang & Huang, Dechun & Chen, Wei, 2017. "Prediction models for chemical exergy of biomass on dry basis from ultimate analysis using available electron concepts," Energy, Elsevier, vol. 131(C), pages 251-258.
  • Handle: RePEc:eee:energy:v:131:y:2017:i:c:p:251-258
    DOI: 10.1016/j.energy.2017.05.037
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0360544217307946
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.energy.2017.05.037?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. Huang, Y.W. & Chen, M.Q. & Li, Y. & Guo, J., 2016. "Modeling of chemical exergy of agricultural biomass using improved general regression neural network," Energy, Elsevier, vol. 114(C), pages 1164-1175.
    2. Bilgen, Selçuk & Keleş, Sedat & Kaygusuz, Kamil, 2012. "Calculation of higher and lower heating values and chemical exergy values of liquid products obtained from pyrolysis of hazelnut cupulae," Energy, Elsevier, vol. 41(1), pages 380-385.
    3. Saidur, R. & BoroumandJazi, G. & Mekhilef, S. & Mohammed, H.A., 2012. "A review on exergy analysis of biomass based fuels," Renewable and Sustainable Energy Reviews, Elsevier, vol. 16(2), pages 1217-1222.
    4. Zhang, Yaning & Zhao, Wenke & Li, Bingxi & Zhang, Haochun & Jiang, Baocheng & Ke, Cunfeng, 2016. "Two equations for estimating the exergy of woody biomass based on the exergy of ash," Energy, Elsevier, vol. 106(C), pages 400-407.
    5. Stepanov, V.S., 1995. "Chemical energies and exergies of fuels," Energy, Elsevier, vol. 20(3), pages 235-242.
    6. Dupont, Capucine & Jacob, Sylvain & Marrakchy, Khalil Ould & Hognon, Céline & Grateau, Maguelone & Labalette, Françoise & Da Silva Perez, Denilson, 2016. "How inorganic elements of biomass influence char steam gasification kinetics," Energy, Elsevier, vol. 109(C), pages 430-435.
    7. Song, Guohui & Xiao, Jun & Zhao, Hao & Shen, Laihong, 2012. "A unified correlation for estimating specific chemical exergy of solid and liquid fuels," Energy, Elsevier, vol. 40(1), pages 164-173.
    8. Ohijeagbon, Idehai O. & Waheed, M. Adekojo & Jekayinfa, Simeon O., 2013. "Methodology for the physical and chemical exergetic analysis of steam boilers," Energy, Elsevier, vol. 53(C), pages 153-164.
    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. Liu, Rongtang & Liu, Ming & Fan, Peipei & Zhao, Yongliang & Yan, Junjie, 2018. "Thermodynamic study on a novel lignite poly-generation system of electricity-gas-tar integrated with pre-drying and pyrolysis," Energy, Elsevier, vol. 165(PB), pages 140-152.
    2. Fu, Yidan & Cai, Lei & Liu, Chunming & Wu, Mouliang & Guan, Yanwen, 2024. "Thermodynamic and economic performance comparison of biomass gasification oxy-fuel combustion power plant in different gasifying atmospheres using advanced exergy and exergoeconomic approach," Renewable Energy, Elsevier, vol. 226(C).
    3. Charalampos Michalakakis & Jeremy Fouillou & Richard C. Lupton & Ana Gonzalez Hernandez & Jonathan M. Cullen, 2021. "Calculating the chemical exergy of materials," Journal of Industrial Ecology, Yale University, vol. 25(2), pages 274-287, April.
    4. Qian, Hongliang & Chen, Wei & Zhu, Weiwei & Liu, Chang & Lu, Xiaohua & Guo, Xiaojing & Huang, Dechun & Liang, Xiaodong & Kontogeorgis, Georgios M., 2019. "Simulation and evaluation of utilization pathways of biomasses based on thermodynamic data prediction," Energy, Elsevier, vol. 173(C), pages 610-625.
    5. Huang, Youwang & Wang, Haiyong & Zhang, Xinghua & Zhang, Qi & Wang, Chenguang & Ma, Longlong, 2022. "Accurate prediction of chemical exergy of technical lignins for exergy-based assessment on sustainable utilization processes," Energy, Elsevier, vol. 243(C).
    6. Xiang, Yanlei & Cai, Lei & Guan, Yanwen & Liu, Wenbin & He, Tianzhi & Li, Juan, 2019. "Study on the biomass-based integrated gasification combined cycle with negative CO2 emissions under different temperatures and pressures," Energy, Elsevier, vol. 179(C), pages 571-580.
    7. Ivan Brandić & Alan Antonović & Lato Pezo & Božidar Matin & Tajana Krička & Vanja Jurišić & Karlo Špelić & Mislav Kontek & Juraj Kukuruzović & Mateja Grubor & Ana Matin, 2023. "Energy Potentials of Agricultural Biomass and the Possibility of Modelling Using RFR and SVM Models," Energies, MDPI, vol. 16(2), pages 1-10, 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. Charalampos Michalakakis & Jeremy Fouillou & Richard C. Lupton & Ana Gonzalez Hernandez & Jonathan M. Cullen, 2021. "Calculating the chemical exergy of materials," Journal of Industrial Ecology, Yale University, vol. 25(2), pages 274-287, April.
    2. Huang, Y.W. & Chen, M.Q. & Li, Y. & Guo, J., 2016. "Modeling of chemical exergy of agricultural biomass using improved general regression neural network," Energy, Elsevier, vol. 114(C), pages 1164-1175.
    3. Atienza-Martínez, María & Ábrego, Javier & Mastral, José Francisco & Ceamanos, Jesús & Gea, Gloria, 2018. "Energy and exergy analyses of sewage sludge thermochemical treatment," Energy, Elsevier, vol. 144(C), pages 723-735.
    4. Huang, Youwang & Wang, Haiyong & Zhang, Xinghua & Zhang, Qi & Wang, Chenguang & Ma, Longlong, 2022. "Accurate prediction of chemical exergy of technical lignins for exergy-based assessment on sustainable utilization processes," Energy, Elsevier, vol. 243(C).
    5. Zhang, Yaning & Zhao, Wenke & Li, Bingxi & Zhang, Haochun & Jiang, Baocheng & Ke, Cunfeng, 2016. "Two equations for estimating the exergy of woody biomass based on the exergy of ash," Energy, Elsevier, vol. 106(C), pages 400-407.
    6. Aghbashlo, Mortaza & Mandegari, Mohsen & Tabatabaei, Meisam & Farzad, Somayeh & Mojarab Soufiyan, Mohamad & Görgens, Johann F., 2018. "Exergy analysis of a lignocellulosic-based biorefinery annexed to a sugarcane mill for simultaneous lactic acid and electricity production," Energy, Elsevier, vol. 149(C), pages 623-638.
    7. Chen, Xiaohui & Zheng, Danxing & Guo, Jing & Liu, Jingxiao & Ji, Peijun, 2013. "Energy analysis for low-rank coal based process system to co-produce semicoke, syngas and light oil," Energy, Elsevier, vol. 52(C), pages 279-288.
    8. Francis Chinweuba Eboh & Peter Ahlström & Tobias Richards, 2017. "Exergy Analysis of Solid Fuel-Fired Heat and Power Plants: A Review," Energies, MDPI, vol. 10(2), pages 1-29, February.
    9. Gharagheizi, Farhad & Ilani-Kashkouli, Poorandokht & Mohammadi, Amir H. & Ramjugernath, Deresh, 2014. "A group contribution method for determination of the standard molar chemical exergy of organic compounds," Energy, Elsevier, vol. 70(C), pages 288-297.
    10. Gharagheizi, Farhad & Ilani-Kashkouli, Poorandokht & Hedden, Ronald C., 2018. "Standard molar chemical exergy: A new accurate model," Energy, Elsevier, vol. 158(C), pages 924-935.
    11. Nemati, Peyman & Jafarmadar, Samad & Taghavifar, Hadi, 2016. "Exergy analysis of biodiesel combustion in a direct injection compression ignition (CI) engine using quasi-dimensional multi-zone model," Energy, Elsevier, vol. 115(P1), pages 528-538.
    12. Qianshi, Song & Wei, Zhang & Xiaowei, Wang & Xiaohan, Wang & Haowen, Li & Zixin, Yang & Yue, Ye & Guangqian, Luo, 2023. "Comprehensive effects of different inorganic elements on initial biomass char-CO2 gasification reactivity in micro fluidised bed reactor: Theoretical modeling and experiment analysis," Energy, Elsevier, vol. 262(PA).
    13. Fan, Siyuan & Wang, Yu & Cao, Shengxian & Zhao, Bo & Sun, Tianyi & Liu, Peng, 2022. "A deep residual neural network identification method for uneven dust accumulation on photovoltaic (PV) panels," Energy, Elsevier, vol. 239(PD).
    14. Wang, Buyu & Pamminger, Michael & Wallner, Thomas, 2019. "Impact of fuel and engine operating conditions on efficiency of a heavy duty truck engine running compression ignition mode using energy and exergy analysis," Applied Energy, Elsevier, vol. 254(C).
    15. Soltanian, Salman & Kalogirou, Soteris A. & Ranjbari, Meisam & Amiri, Hamid & Mahian, Omid & Khoshnevisan, Benyamin & Jafary, Tahereh & Nizami, Abdul-Sattar & Gupta, Vijai Kumar & Aghaei, Siavash & Pe, 2022. "Exergetic sustainability analysis of municipal solid waste treatment systems: A systematic critical review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 156(C).
    16. Mousavi, Seyed Ali & Toopshekan, Ashkan & Mehrpooya, Mehdi & Delpisheh, Mostafa, 2023. "Comprehensive exergetic performance assessment and techno-financial optimization of off-grid hybrid renewable configurations with various dispatch strategies and solar tracking systems," Renewable Energy, Elsevier, vol. 210(C), pages 40-63.
    17. Chen, Yuan & Lin, Weigang & Wu, Hao & Jensen, Peter Arendt & Song, Wenli & Du, Lin & Li, Songgeng, 2021. "Steam gasification of char derived from penicillin mycelial dreg and lignocellulosic biomass: Influence of P, K and Ca on char reactivity," Energy, Elsevier, vol. 228(C).
    18. Aghbashlo, Mortaza & Tabatabaei, Meisam & Rastegari, Hajar & Ghaziaskar, Hassan S. & Valijanian, Elena, 2018. "Exergy-based optimization of a continuous reactor applied to produce value-added chemicals from glycerol through esterification with acetic acid," Energy, Elsevier, vol. 150(C), pages 351-362.
    19. Xiao Chen & Yongquan Wen & Nanyang Li, 2016. "Energy Efficiency and Sustainability Evaluation of Space and Water Heating in Urban Residential Buildings of the Hot Summer and Cold Winter Zone in China," Sustainability, MDPI, vol. 8(10), pages 1-14, September.
    20. Li, Sheng & Jin, Hongguang & Gao, Lin & Zhang, Xiaosong, 2014. "Exergy analysis and the energy saving mechanism for coal to synthetic/substitute natural gas and power cogeneration system without and with CO2 capture," Applied Energy, Elsevier, vol. 130(C), pages 552-561.

    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:131:y:2017:i:c:p:251-258. 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.