| 1 |
Describing biomass pyrolysis kinetics using a generic hybrid intelligent model: A critical stage in sustainable waste-oriented biore fi neries
Aghbashlo M, Almasi F, Jafari A, Nadian MH, Soltanian S, Lam SS, Tabatabaei M
Renewable Energy, 170, 81, 2021 |
| 2 |
Evaluation of elemental composition obtained by using mass spectrometer and elemental analyzer: A case study on model compound mixtures and a coal-derived liquid
Dong X, Wang F, Fan X, Zhao YP, Wei XY, Wang RY, Ma FY, Liu JM, Li B
Fuel, 245, 392, 2019 |
| 3 |
Non-oxidative torrefaction of biomass to enhance its fuel properties
Alvarez A, Nogueiro D, Pizarro C, Matos M, Bueno JL
Energy, 158, 1, 2018 |
| 4 |
Co-combustion of sewage sludge from different treatment processes and a lignite coal in a laboratory scale combustor
Akdag AS, Atak O, Atimtay AT, Sanin FD
Energy, 158, 417, 2018 |
| 5 |
Application of LSSVM algorithm for estimating higher heating value of biomass based on ultimate analysis
Duan M, Liu ZL, Yan DJ, Peng WX, Baghban A
Energy Sources Part A-recovery Utilization and Environmental Effects, 40(6), 709, 2018 |
| 6 |
Optimal use of condensed parameters of ultimate analysis to predict the calorific value of biomass
Ozyuguran A, Akturk A, Yaman S
Fuel, 214, 640, 2018 |
| 7 |
Design of simplified models for the estimation of higher heating value of refused derived fuels
dos Santos RG, Bordado JM
Fuel, 212, 431, 2018 |
| 8 |
Electrochemical study of composite materials for coal-based direct carbon fuel cell
Ali A, Bashir FS, Raza R, Rafique A, Ullah MK, Alvi F, Afzal M, Ghauri M, Belova LM
International Journal of Hydrogen Energy, 43(28), 12900, 2018 |
| 9 |
Prediction models for chemical exergy of biomass on dry basis from ultimate analysis using available electron concepts
Qian HL, Zhu WW, Fan SD, Liu C, Lu XH, Wang ZX, Huang DC, Chen W
Energy, 131, 251, 2017 |
| 10 |
Prediction of elemental composition of coal using proximate analysis
Lan Y, Feng J, Qin YH, Li WY
Fuel, 193, 315, 2017 |
