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    Item type:Publication,
    Liquid fuel production from waste tires and water hyacinth: A comparative study of Co-pyrolysis and Co-gasification with Fischer-Tropsch integration
    (2025-06-01)
    Aentung, Tanawat
    ;
    Thongchawee, Anutida
    ;
    Patcharavorachot, Yaneeporn
    This study investigates the sustainable conversion of waste tires (WT) and water hyacinth (WH) into liquid fuel using two thermochemical approaches: co-pyrolysis (direct method) and co-gasification integrated with Fischer-Tropsch (FT) process (indirect method). Aspen Plus software was employed to determine optimal operating conditions for maximizing fuel yield. The direct method achieved 6649.22 gallons of fuel per day at 400 °C with a WT/WH ratio of 75/25. In comparison, the indirect method, operating at 800 °C with a WT/WH ratio of 50/50, produced 115.92 kmol/h of syngas, which was subsequently converted into 8817.15 gallons of liquid fuel per day via the FT process. An economic analysis revealed that the indirect method offered higher fuel yields and better cost-effectiveness, with a capital investment approximately 5 million U.S. dollars lower than the direct method. These findings highlight the potential of integrating waste-derived feedstocks for efficient and sustainable liquid fuel production.
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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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    Item type:Publication,
    Co-pyrolysis of biomass/polyurethane foam waste: Thermodynamic study using Aspen Plus
    (2024-10-01)
    Patcharavorachot, Yaneeporn
    ;
    Pradiskhean, Supanat
    ;
    Aentung, Tanawat
    ;
    Saebea, Dang
    ;
    Arpornwichanop, Amornchai
    Due to the varieties and identical feature of solid waste, this research aims to consider the use of various feedstocks in pyrolysis process for liquid fuel production. The feedstock considered covers woody and non-woody biomass and plastic waste which are represented by sawdust (SD), palm leaf (PL) and polyurethane foam (PU) waste. In this research, both pure solid waste and the co-pyrolysis of biomass and plastic wastes were determined based on thermodynamics study. The model of pyrolysis process developed through Aspen Plus simulator was implemented to study the product yield, higher heating value (HHV) and energy consumption with a wider range of pyrolysis temperature and blending weight ratio. The simulation results clearly showed that the use of pure PU waste can provide the highest oil yield (∼44 wt%) which is corresponded to highest HHV (∼28 MJ/kg). The pyrolysis, operating at 400 °C, can provide the most significant quantity of oil. For the co-pyrolysis, the results revealed that more PU waste blended in both biomasses can improve both oil yield and HHV while the energy consumption is lower. From the simulation results, the optimal blending weight ratio of biomass and PU waste at 25:75 can provide suitable oil yield (∼43 wt%), HHV (∼26 MJ/kg) and energy consumption (243 kW).
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    Item type:Publication,
    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.