Patcharavorachot, Yaneeporn

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Patcharavorachot, Yaneeporn
Alternative Name
Patcharavorachot, Y.
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Email
yaneeporn.pa@kmitl.ac.th

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    Item type:Publication,
    Corrigendum to “Process design and muti-objective optimization of solid waste/biomass co-gasification considering tar formation” [Journal of the Taiwan Institute of Chemical Engineers 164 (2024) 105688](S1876107024003468)(10.1016/j.jtice.2024.105688)
    (2025-03-01)
    Aentung, Tanawat
    ;
    Wu, Wei
    ;
    Patcharavorachot, Yaneeporn
    The authors regret to correct the title of the article as ‘Process design and multi-objective optimization of solid waste/biomass co-gasification considering tar formation’. The authors would like to apologise for any inconvenience caused.
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    Process design and muti-objective optimization of solid waste/biomass co-gasification considering tar formation
    (2024-11-01)
    Aentung, Tanawat
    ;
    Wu, Wei
    ;
    Patcharavorachot, Yaneeporn
    Background: The co-gasification of solid waste and biomass to produce syngas is an environmentally friendly technology. Unfortunately, the tar formation in the solid waste/biomass co-gasification process would degrade the product gas quality and the overall process efficiency. Methods: In this study, the kinetics of the solid waste/biomass co-gasification is shown by the Aspen Plus simulation. Through the model validation and sensitivity analysis, it is validated that tar yield, syngas composition, and syngas yield are sensitive to gasifier temperature, steam-to-feed ratio (S/F), and blending weight ratio (B/W). It shows that the increase of the product gas yield (GY) increases CO<inf>2</inf> concentration in the product gas, but the tar yield is reduced. To address the sustainable solid waste/biomass co-gasifier, the multi-objective optimization (MOO) algorithm is implemented to maximize GY and minimize CO<inf>2</inf> concentration. For solving the MOO problem, the standard genetic algorithm (GA) coupled with response surface methodology (RSM) is performed to find the Pareto frontier plot, and the technique for order of preference by similarity to the ideal solution (TOPSIS) is used to determine optimal operating conditions. Significant Findings: Under the Pareto frontier plot and TOPSIS, a GY of 2.672 Nm³/kg, CO<inf>2</inf> concentration of 8.045 vol.%, and tar yield of 17.0617 g/Nm³ can be achieved under the optimal conditions of T = 1099.95 °C, S/F ratio = 0.79, and B/W ratio = 10.02. In addition, the CO<inf>2</inf> absorption using CaO is added to purify CO<inf>2</inf> up to 99.999 % of purity.
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    Co-Gasification of Plastic Waste Blended with Biomass: Process Modeling and Multi-Objective Optimization
    (2024-09-01)
    Aentung, Tanawat
    ;
    Patcharavorachot, Yaneeporn
    ;
    Wu, Wei
    Mixed plastic/biomass co-gasification stands out as a promising and environmentally friendly technology, since it reduces wide solid wastes and produces green hydrogen. High-quality syngas can be obtained by virtue of the process design and optimization of a downdraft fixed-bed co-gasifier. The design is based on the actual reaction zones within a real gasifier to ensure accurate results. The methodology shows that (i) the co-gasifier modeling is validated using the adiabatic RGibbs model in Aspen Plus, (ii) the performance of the co-gasifier is evaluated using cold-gas efficiency (CGE) and carbon conversion efficiency (CCE) as indicators, and (iii) the multi-objective optimization (MOO) is employed to optimize these indicators simultaneously, utilizing a standard genetic algorithm (GA) combined with response surface methodology (RSM) to identify the Pareto frontier. The optimal conditions, resulting in a CGE of 91.78% and a CCE of 83.77% at a gasifier temperature of 967.89 °C, a steam-to-feed ratio of 1.40, and a plastic-to-biomass ratio of 74.23%, were identified using the technique for order of preference by similarity to ideal solution (TOPSIS). The inclusion of plastics enhances gasifier performance and syngas quality, leading to significant improvements in CGE and CCE values.
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    Improvement of biohydrogen production from biomass using supercritical water gasification and CaO adsorption
    (2024-04-01)
    Panichkittikul, Nitsara
    ;
    Mariyappan, Vinitha
    ;
    Wu, Wei
    ;
    Patcharavorachot, Yaneeporn
    Producing biohydrogen is a promising alternative to fossil fuels, sourced from renewable energy like wind, solar, and biomass, known for its eco-friendliness and minimal greenhouse gas emissions. This study focuses on the process design and simulation of producing biohydrogen from biomass (bagasse) gasification. New integration of the water gas shift reactor and CaO adsorption process is connected to biomass gasification with the steam/supercritical water agents for improving the hydrogen production process. Simulations show that steam gasification integrated with CaO adsorption (SG-CaO) is optimized at specific conditions, resulting in high-purity hydrogen at 99.95 %. Similarly, the supercritical water gasification integrated with CaO adsorption (SCWG-CaO) requires specific conditions, achieving exceptionally pure hydrogen at 99.99 %. In terms of energy analysis, SCWG-CaO outperforms SG-CaO, with higher hydrogen yield (14.16 % vs. 14.12 %) and greater energy efficiency (42.32 % vs. 40.26 %). It shows that the SCWG-CaO is a suitable and efficient approach for biohydrogen production, considering factors such as hydrogen purity, yield, and energy efficiency.