1 |
Multi-aspect evaluation of integrated forest-based biofuel production pathways: Part 1. Product yields & energetic performance Jafri Y, Wetterlund E, Anheden M, Kulander I, Hakansson A, Furusjo E Energy, 166, 401, 2019 |
2 |
Comparison of catalytic and noncatalytic pyrolysis and product yields of some waste biomass species Kar T, Keles S, Kaygusuz K International Journal of Energy Research, 43(6), 2032, 2019 |
3 |
Multi reaction apparent kinetic scheme for the pyrolysis of large size biomass particles using macro-TGA Sharma R, Sheth PN Energy, 151, 1007, 2018 |
4 |
Production and analysis of fuels and chemicals obtained from rice husk pyrolysis with concentrated solar radiation Weldekidan H, Strezov V, Town G, Kan T Fuel, 233, 396, 2018 |
5 |
Kinetic characterization of Scenedesmus quadricauda under low irradiation conditions Buitron G, Figueroa-Gonzalez I, Quijano G Journal of Chemical Technology and Biotechnology, 93(3), 842, 2018 |
6 |
Application of response surface methodology and artificial neural network on pyrolysis of safflower seed press cake Angin D, Tiryaki AE Energy Sources Part A-recovery Utilization and Environmental Effects, 38(8), 1055, 2016 |
7 |
Experiments and modeling of fixed-bed debarking residue pyrolysis: The effect of fuel bed properties on product yields Boriouchkine A, Sharifi V, Swithenbank J, Jamsa-Jounela SL Chemical Engineering Science, 138, 581, 2015 |
8 |
Determination of pyrolysis behavior of brown coal in a pressurized drop tube reactor Reichel D, Siegl S, Neubert C, Krzack S Fuel, 158, 983, 2015 |
9 |
Calculating the product yields and the vapor-liquid equilibrium in the low-temperature Fischer-Tropsch synthesis Visconti CG, Mascellaro M Catalysis Today, 214, 61, 2013 |
10 |
Operational optimization of crude oil distillation systems using artificial neural networks Ochoa-Estopier LM, Jobson M, Smith R Computers & Chemical Engineering, 59, 178, 2013 |