Poultry litter valorization: Development and optimization of an electro-chemical and thermal tri-generation process using an extreme gradient boosting algorithm

A novel configuration of a tri-generation process for poultry litter valorization, including gasification, solid oxide fuel cell (SOFC), and combined heat and power system was examined in this research. Multi-level factorial, design of experiment methodology has been adopted to extract the simulatio...

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Vydáno v:Energy (Oxford) Ročník 263; s. 125839
Hlavní autoři: Ayub, Yousaf, Ren, Jingzheng, Shi, Tao, Shen, Weifeng, He, Chang
Médium: Journal Article
Jazyk:angličtina
Vydáno: Elsevier Ltd 15.01.2023
Témata:
algorithms
Artificial intelligence
biomass
Biomass-waste
electric potential difference
exergy
Exergy analysis
fuel cells
gasification
heat
hydrogen production
poultry manure
simulation models
synthesis gas
temperature
Tri-generation
Waste-to-energy
Biomass-waste
Waste-to-energy
Exergy analysis
Tri-generation
Artificial intelligence
ISSN:0360-5442
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Shrnutí:A novel configuration of a tri-generation process for poultry litter valorization, including gasification, solid oxide fuel cell (SOFC), and combined heat and power system was examined in this research. Multi-level factorial, design of experiment methodology has been adopted to extract the simulation data from Aspen Plus simulation model by changing one parameter at a time. Extreme gradient boosting has been applied on the factorial design data to predict and optimize the parametric yield of this model. Results of gasification process sensitivity analysis show that pressure has no significant effect on output yield, but it has a negative effect on SOFC voltage. While gasification process temperature operating condition around 600 °C and 0.25–0.33 biomass to air ratio (BMR) can generate optimum hydrogen yield in syngas. Coefficient of determinant (R2) for Extreme Gradient Booster (XGB) model is greater than 0.97 for all dependent variables. According to XGB results, BMR is the most contributing factor which affects the output of this study. Exergy efficiency of this tri-generation process is 34.6% more than the gasification process. Therefore, based on the findings of this model, it is concluded that this tri-generation process could be the better possible solution for poultry litter valorization. •34.6% more exergy efficiency by tri-generation of poultry litter valorization.•Gasification process prediction by Extreme Gradient Boosting prediction model.•Optimum yield of H2 at 600 °C and 0.25–0.33 biomass to air ratio.•Multilevel factorial design of experiment for gasification process optimization.•Solid Oxide Fuel Cell current and voltage calculations and prediction model.
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ISSN:0360-5442
DOI:10.1016/j.energy.2022.125839