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

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  • 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
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    5. 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.
    6. 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).

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