Prediction models for chemical exergy of biomass on dry basis from ultimate analysis using available electron concepts. (15th July 2017)
- Record Type:
- Journal Article
- Title:
- Prediction models for chemical exergy of biomass on dry basis from ultimate analysis using available electron concepts. (15th July 2017)
- Main Title:
- Prediction models for chemical exergy of biomass on dry basis from ultimate analysis using available electron concepts
- Authors:
- Qian, Hongliang
Zhu, Weiwei
Fan, Sudong
Liu, Chang
Lu, Xiaohua
Wang, Zhixiang
Huang, Dechun
Chen, Wei - Abstract:
- 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. Highlights: A new concept — chemical exergy per (modified) reductance degree is established. Chemical exergy per modified reductance degree is approximately constant. Estimation model of chemical exergy based on new conceptAbstract: 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. Highlights: A new concept — chemical exergy per (modified) reductance degree is established. Chemical exergy per modified reductance degree is approximately constant. Estimation model of chemical exergy based on new concept provides higher accuracy. Chemical exergy of biomass (db) can be easily estimated by simply using C and H. … (more)
- Is Part Of:
- Energy. Volume 131(2017)
- Journal:
- Energy
- Issue:
- Volume 131(2017)
- Issue Display:
- Volume 131, Issue 2017 (2017)
- Year:
- 2017
- Volume:
- 131
- Issue:
- 2017
- Issue Sort Value:
- 2017-0131-2017-0000
- Page Start:
- 251
- Page End:
- 258
- Publication Date:
- 2017-07-15
- Subjects:
- Chemical exergy -- Biomass -- Ultimate analysis -- Prediction model
Power resources -- Periodicals
Power (Mechanics) -- Periodicals
Energy consumption -- Periodicals
333.7905 - Journal URLs:
- http://www.elsevier.com/journals ↗
- DOI:
- 10.1016/j.energy.2017.05.037 ↗
- Languages:
- English
- ISSNs:
- 0360-5442
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 3747.445000
British Library DSC - BLDSS-3PM
British Library HMNTS - ELD Digital store - Ingest File:
- 2848.xml