Next Article in Journal
Controlling the Thermal Power of a Wall Heating Panel with Heat Pipes by Changing the Mass Flowrate and Temperature of Supplying Water—Experimental Investigations
Previous Article in Journal
Thermal Performance and Numerical Simulation of the 1-Pyrene Carboxylic-Acid Functionalized Graphene Nanofluids in a Sintered Wick Heat Pipe
 
 
Article

Statistical Model for Prediction of Ash Fusion Temperatures from Additive Doped Biomass

Department of Power Engineering and Turbomachinery, Faculty of Energy and Environmental Engineering, Silesian University of Technology, 44-100 Gliwice, Poland
*
Author to whom correspondence should be addressed.
Energies 2020, 13(24), 6543; https://doi.org/10.3390/en13246543
Received: 9 November 2020 / Revised: 3 December 2020 / Accepted: 8 December 2020 / Published: 11 December 2020
(This article belongs to the Section B: Energy and Environment)
The prediction of phase transformation of biomass ashes is challenging due to the highly variable composition of these fuels as well as the complex processes accompanying phase transformations. The AFT (Ash Fusion Temperature) model was performed in Statistica 13.1 software. This model was divided into three separate submodels, which were designed to predict the characteristic ash melting temperatures for raw and modified biomass. It is based on the chemical composition of fuel and ash as obtained using ash analysis standards. For the discussed models, several coefficients describing multiple regression parameters are presented. The AFT model discussed in this article is suitable for predicting ash fusion temperatures for biomass and allows for the prediction of the temperature with an average error of <±70.05 °C for IDT; <±51.98 °C for HT; <±47.52 °C for FT for raw biomass. For some of the additionally tested biomass, a value higher than the average difference between the measured temperature and the designated model was observed (<90 °C). Moreover, morphological analyses of the structure SEM-EDS for ash samples with and without additive were performed. View Full-Text
Keywords: ash fusion temperature (AFT); biomass combustion; fuel additives; AFT statistic model; prediction of ash temperature ash fusion temperature (AFT); biomass combustion; fuel additives; AFT statistic model; prediction of ash temperature
Show Figures

Figure 1

MDPI and ACS Style

Wnorowska, J.; Gądek, W.; Kalisz, S. Statistical Model for Prediction of Ash Fusion Temperatures from Additive Doped Biomass. Energies 2020, 13, 6543. https://doi.org/10.3390/en13246543

AMA Style

Wnorowska J, Gądek W, Kalisz S. Statistical Model for Prediction of Ash Fusion Temperatures from Additive Doped Biomass. Energies. 2020; 13(24):6543. https://doi.org/10.3390/en13246543

Chicago/Turabian Style

Wnorowska, Joanna, Waldemar Gądek, and Sylwester Kalisz. 2020. "Statistical Model for Prediction of Ash Fusion Temperatures from Additive Doped Biomass" Energies 13, no. 24: 6543. https://doi.org/10.3390/en13246543

Find Other Styles
Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Article Access Map by Country/Region

1
Back to TopTop