Institutional Repository of GuangZhou Institute of Energy Conversion, CAS
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Study on biomass and polymer catalytic co-pyrolysis product characteristics using machine learning and shapley additive explanations (SHAP)
No full textBiomass and polymer catalytic co-pyrolysis can convert waste into higher-quality fuels, thereby reducing the use of fossil fuels to some extent. However, this process is an extremely complex thermochemical conversion, influenced by numerous factors such as feedstock properties, operational variables, and catalyst. Currently, experimental methods require substantial time and resource investment. Machine learning (ML) can fit and match input and output features based on existing data, achieving extremely high accuracy in the co-pyrolysis process. This study applies advanced ML models to study the biomass and polymer catalytic co-pyrolysis process, with a focus on the yield of pyrolysis products and the variations of the oxygen-containing components in the pyrolysis oil. The best-performing model is used for feature analysis of the correlation between inputs and outputs, based on game theory SHAP analysis. The results indicate a significant negative correlation between the polymer addition ratio and the generation of oxygen-containing components during the co-pyrolysis process. The addition of catalysts promotes the generation of pyrolysis gas during co-pyrolysis but suppresses the yield of pyrolysis oil. Additionally, catalysts significantly inhibit the formation of oxygenates in the pyrolysis oil. The XGBR model shows the highest performance in predicting pyrolysis oil yield, achieving R-2 values of 0.98 during training phase and 0.91 during testing phase. The GBR model performs well in predicting the oxygenate composition of pyrolysis oil from small datasets
Special project for marine economy development of Guangdong (Six marine industries)[[2022] 46]
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Study of the rheology and flow risk of hydrate slurries containing combined anti-agglomerants: Effects of wax, water cut and continuous phase composition
No full textAs oil and gas extraction increasingly ventures into deep-sea environments, the issues surrounding the flow safety of hydrate and wax deposits have become more critical. There is an urgent need to develop environmentally friendly and adaptable hydrate anti-agglomerants, and to expand the database and knowledge base for risk management strategies to ensure optimal production safety. This study formulated combined anti-agglomerants with varying HLB values using Span 80 and Tween 80 in different ratios. Rheological experiments were conducted to investigate their synergistic anti-agglomeration performance in water-in-oil emulsions and their adaptability in environments with wax, varying water contents, and different continuous phase compositions. The results indicate that, in comparison to a single anti-agglomerant, the combined anti-agglomerants not only increases the critical time for hydrate formation but also reduces peak viscosity and stable viscosity by 23-90 % and 25-85 %, respectively. Additionally, an index for assessing the flow risk of hydrate slurries under specific conditions was proposed, which demonstrates that the combined anti-agglomerant with an HLB value of 8.6 exhibits exceptional performance across various conditions. This finding is significant for refining risk management strategies for hydrates in deep-sea oil and gas transportation processes
Simulation study of a novel approach to couple compressed CO2 energy storage with compression heat storage in aquifers
No full textThe integration of energy storage systems is essential for addressing the limitations of renewable energy generation, such as intermittency and fluctuations. This study introduces a porous media adiabatic compressed CO2 energy storage system (PM-ACCES) that combines thermal energy storage with compressed CO2 energy storage within aquifers at different depths. PM-ACCES aims to reduce the overall system complexity by eliminating the need for thermal storage systems at the ground level to store compression heat, while simultaneously integrating CO2 energy storage with sequestration. Through comprehensive numerical simulations and thermodynamic modelling, the study evaluates the performance of the PM-ACCES system under various operating conditions. The results show that, under the default conditions of this study, the average discharge power and charge power of the PM-ACCES with solar heating over 30 days are 4663.7 kW and 2342.9 kW, respectively, with a corresponding discharge capacity of 18,655 kWh and a charge capacity of 23,429 kWh. The PM-ACCES system can operate without external heat sources, achieving a discharge power of 3045.31 kW and a discharge capacity of 12,156 kWh, while attaining a higher round-trip efficiency of 51.93 %. Additionally, the study examined various factors affecting the energy storage performance of the solar-heated PM-ACCES. The findings suggest that improving wellbore thermal insulation and utilizing deeper aquifers can significantly enhance energy storage performance. However, increasing the circulation flow rate, while boosting charge and discharge power, reduces the round-trip efficiency. These findings provide a robust foundation for future optimization of CO2-based energy storage systems, offering a promising solution for integrating renewable energy into the power grid
Combustion characteristics of pre-vaporized<i> n</i>-heptane jet flames in hot O2/ N2/CO2 and O2/N2/H2O coflows
No full textThe liftoff height and blowout velocity of pre-vaporized n-heptane jet flame in hot coflows containing 21%O2/ 75%N2/4%CO2, 21%O2/75%N2/4%H2O, 21%O2/70%N2/9%CO2 and 21%O2/70%N2/9%H2O have been experimentally studied to compare the effects of CO2 and H2O on the combustion characteristics of liquid fuel. The combustion characteristics of pre-vaporized n-heptane jet flame in hot air coflow were also studied for comparison. The experimental results show that the liftoff height of the jet flame is increased by CO2 and H2O dilutions, and the increase of the liftoff height by the CO2 dilution is more significant. Theoretical analysis indicates that the liftoff behavior of the jet flame in different coflows can be well captured by the large-scale model. The physical and chemical effects of CO2 and H2O dilutions on the liftoff height have been compared theoretically based on the large-scale model and computation results. The measured blowout limit of pre-vaporized nheptane jet flame in different coflows show that the stability of the flame is decreased by CO2 and H2O dilutions. Moreover, the effect of CO2 dilution on the blowout limit is more significant than that of H2O dilution. A modified formula based the large-scale model was developed to interpret the blowout velocities in different coflows
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