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Research

Diagram of the SMART Laboratory research areas: computational fluid dynamics, multiphase flow investigation, sustainable process system engineering, data science and AI, and CO2 sequestration and utilization, spanning particle, reactor, process and industry scales
Time-series snapshots of a spouted bed simulation from 0 to 1.8 seconds: an upper row of gas volume fraction contour plots and a lower row showing the corresponding discrete particle distributions.

Computational Fluid Dynamics Simulation

Tarabordin Yurata, Pornpote Piumsomboon, Benjapon Chalermsinsuwan, Effect of contact force modeling parameters on the system hydrodynamics of spouted bed using CFD-DEM simulation and 2k factorial experimental design, Chemical Engineering Research and Design, Volume 153, January 2020, Pages 401-418.

Five photographs of a transparent circulating fluidized bed column showing the particle flow pattern at inlet gas velocities from 0.25 to 10.00 metres per second.

Multiphase Flow Investigation

Benjapon Chalermsinsuwan, Sutthichai Boonprasop, Prathana Nimmanterdwong, Pornpote Piumsomboon, Revised fluidization regime characterization in high solid particle concentration circulating fluidized bed reactor, International Journal of Multiphase Flow, Volume 66, November 2014, Pages 26-37.

System flow diagram of biofuel production, tracing rain, sun, soil and materials and services inputs through the agricultural, transportation and crushing stages to biodiesel and bio-alcohol outputs.

Sustainable Process System Engineering

Prathana Nimmanterdwong, Benjapon Chalermsinsuwan, Pornpote Piumsomboon, Emergy evaluation of biofuels production in Thailand from different feedstocks, Ecological Engineering, Volume 74, January 2015, Pages 423-437.

Artificial neural network diagram with five biomass property inputs (fixed carbon, volatile matter, ash, oxygen concentration and equivalence ratio) feeding a hidden layer that outputs the kinetic parameters A, Ea and n.

Data Science and Artificial-intelligence Application

Sasithorn Sunphorka, Benjapon Chalermsinsuwan, Pornpote Piumsomboon, Application of artificial neural network for kinetic parameters prediction of biomass oxidation from biomass properties, Journal of the Energy Institute, Volume 90, Issue 1, February 2017, Pages 51-61.

Arrhenius plot of the second-order rate constant for carbon dioxide absorption, comparing the MPDL solvent, highlighted in red, with the MEA, DEA, AMP and MDEA solvents.

CO2 Sequestration and Utilization

Teerawat Sema, Wachiramon Khuenkaew, Ornicha Sirirathomsud, Kinetics of CO2 Absorption in Novel Tertiary N-Methyl-4-Piperidinol Solvent, International Journal of Greenhouse Gas Control, Volume 90, November 2019, 102796.