Due to excellent performance, hydrogen is treated as the most promising energy carrier. However, during the storage of liquid hydrogen, there are still some thorny issues that need to be addressed urgently, such as fluid thermal stratification and sloshing phenomenon. To efficiently grasp fluid sloshing mechanical characteristics, a simple visual sloshing experiment rig was established by using a rectangle transparent water vessel. The variations of the interface shape and the impact force during sloshing were monitored and analyzed. The effects of sloshing frequency, horizontal acceleration, and initial liquid height on fluid sloshing mechanical mechanism were investigated. The results show that when the external sloshing excitation is close to the first order natural frequency, obvious interface fluctuation and large amplitude sloshing force variation are observed. The present work is of significance to strengthen the understanding of fluid sloshing mechanical performance and may lay a solid foundation for fluid sloshing suppression and long-term storage of cryogenic fuels.
{"title":"Experimental study on sloshing mechanical characteristics in a partially filled storage tank","authors":"Peng Zhao, Wenlong Xue, Yunfang Yang, Zhan Liu","doi":"10.1002/apj.3152","DOIUrl":"https://doi.org/10.1002/apj.3152","url":null,"abstract":"Due to excellent performance, hydrogen is treated as the most promising energy carrier. However, during the storage of liquid hydrogen, there are still some thorny issues that need to be addressed urgently, such as fluid thermal stratification and sloshing phenomenon. To efficiently grasp fluid sloshing mechanical characteristics, a simple visual sloshing experiment rig was established by using a rectangle transparent water vessel. The variations of the interface shape and the impact force during sloshing were monitored and analyzed. The effects of sloshing frequency, horizontal acceleration, and initial liquid height on fluid sloshing mechanical mechanism were investigated. The results show that when the external sloshing excitation is close to the first order natural frequency, obvious interface fluctuation and large amplitude sloshing force variation are observed. The present work is of significance to strengthen the understanding of fluid sloshing mechanical performance and may lay a solid foundation for fluid sloshing suppression and long-term storage of cryogenic fuels.","PeriodicalId":8852,"journal":{"name":"Asia-Pacific Journal of Chemical Engineering","volume":null,"pages":null},"PeriodicalIF":1.8,"publicationDate":"2024-08-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142220365","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Deep eutectic solvents (DESs) are increasingly recognized as sustainable alternatives suitable for a range of industrial applications. A precise comprehension of their properties is important for progress in science and engineering. In this study, we synthesized four novel ternary DESs using mandelic acid and measured their densities and viscosities at temperatures ranging from 298 to 353 K. Subsequently, an artificial neural network model was developed to predict DES density and viscosity based on temperature, critical properties, acentric factor, and molar ratio. The neural network parameters were optimized using experimental data from synthesized DESs and literature sources, both collectively over 500 data points for density and viscosity. Additionally, we investigated the influence of input parameters on model accuracy and assessed their significance. The results show that the average percentage relative error was 0.501 for density and 4.81 for viscosity. This research helps advance science and engineering applications of DESs.
人们日益认识到，深共晶溶剂（DES）是适合一系列工业应用的可持续替代品。准确了解它们的特性对于科学和工程领域的进步非常重要。在这项研究中，我们利用扁桃酸合成了四种新型三元 DES，并测量了它们在 298 至 353 K 温度范围内的密度和粘度。随后，我们建立了一个人工神经网络模型，根据温度、临界性质、中心因子和摩尔比来预测 DES 的密度和粘度。我们利用合成 DES 的实验数据和文献资料对神经网络参数进行了优化，两者在密度和粘度方面的数据点合计超过 500 个。此外，我们还研究了输入参数对模型准确性的影响，并评估了其重要性。结果表明，密度和粘度的平均相对误差分别为 0.501 和 4.81。这项研究有助于推进 DES 的科学和工程应用。
{"title":"Estimation of density and viscosity of deep eutectic solvents: Experimental and machine learning approach","authors":"Dhruv Patel, Krunal J. Suthar, Hemant Kumar Balsora, Dhara Patel, Swapna Rekha Panda, Nirav Bhavsar","doi":"10.1002/apj.3151","DOIUrl":"https://doi.org/10.1002/apj.3151","url":null,"abstract":"Deep eutectic solvents (DESs) are increasingly recognized as sustainable alternatives suitable for a range of industrial applications. A precise comprehension of their properties is important for progress in science and engineering. In this study, we synthesized four novel ternary DESs using mandelic acid and measured their densities and viscosities at temperatures ranging from 298 to 353 K. Subsequently, an artificial neural network model was developed to predict DES density and viscosity based on temperature, critical properties, acentric factor, and molar ratio. The neural network parameters were optimized using experimental data from synthesized DESs and literature sources, both collectively over 500 data points for density and viscosity. Additionally, we investigated the influence of input parameters on model accuracy and assessed their significance. The results show that the average percentage relative error was 0.501 for density and 4.81 for viscosity. This research helps advance science and engineering applications of DESs.","PeriodicalId":8852,"journal":{"name":"Asia-Pacific Journal of Chemical Engineering","volume":null,"pages":null},"PeriodicalIF":1.8,"publicationDate":"2024-08-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142220366","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Yixiang Zhang, Shilong Feng, Yuhui Jing, Junhua Bai
High expansion (Hi‐Ex) foam is recommended to suppress the leakage and diffusion of cryogenic liquid due to its light weight and large volume. However, the disadvantages of low stability and high break rate under environmental conditions are all limited the further application in vapor mitigation and fire extinguishing. So that, this paper focus on the effect and mechanism of nanoparticles in stabilizing Hi‐Ex foam. Three kinds of nanoparticles with different concentration were selected to evaluate the effect of foam half‐life and the mechanism of particles on improving the foam stability. The results indicated that different particle concentrations can improve the foam stability to a specific extent, and the maximum improving of half‐life can increase by 95.4% in the presence of the hydrophilic SiO2 at .5 wt%. Meanwhile, the hydrophilicity, size, and morphology of the particles have a specific impact on the foam stability. The foam expansion rate first increased and then decreased. From the microscopic point of view, the bubble size gradually increases with time by two processes of ripening and coalescence and satisfied in a logarithmic distribution. While, the liquid film thickness remarkably decreases due to foam drainage without particles and the adsorption and accumulation of nanoparticles on foam lamella can provide a spatial barrier for the film thinning and the inter bubble diffusion. Finally, the microscopic interaction mechanism on improving the foam stability has been further explored and revealed in these two aspects.
{"title":"Experimental study on the mechanism of nanoparticles improving the stability of high expansion foam","authors":"Yixiang Zhang, Shilong Feng, Yuhui Jing, Junhua Bai","doi":"10.1002/apj.3148","DOIUrl":"https://doi.org/10.1002/apj.3148","url":null,"abstract":"High expansion (Hi‐Ex) foam is recommended to suppress the leakage and diffusion of cryogenic liquid due to its light weight and large volume. However, the disadvantages of low stability and high break rate under environmental conditions are all limited the further application in vapor mitigation and fire extinguishing. So that, this paper focus on the effect and mechanism of nanoparticles in stabilizing Hi‐Ex foam. Three kinds of nanoparticles with different concentration were selected to evaluate the effect of foam half‐life and the mechanism of particles on improving the foam stability. The results indicated that different particle concentrations can improve the foam stability to a specific extent, and the maximum improving of half‐life can increase by 95.4% in the presence of the hydrophilic SiO<jats:sub>2</jats:sub> at .5 wt%. Meanwhile, the hydrophilicity, size, and morphology of the particles have a specific impact on the foam stability. The foam expansion rate first increased and then decreased. From the microscopic point of view, the bubble size gradually increases with time by two processes of ripening and coalescence and satisfied in a logarithmic distribution. While, the liquid film thickness remarkably decreases due to foam drainage without particles and the adsorption and accumulation of nanoparticles on foam lamella can provide a spatial barrier for the film thinning and the inter bubble diffusion. Finally, the microscopic interaction mechanism on improving the foam stability has been further explored and revealed in these two aspects.","PeriodicalId":8852,"journal":{"name":"Asia-Pacific Journal of Chemical Engineering","volume":null,"pages":null},"PeriodicalIF":1.8,"publicationDate":"2024-08-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142227375","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
This study aims to enhance the liquid water distribution within electrodes by innovatively designing a microporous layer (MPL) featuring orderly gradient perforations. Utilizing a multi‐component multi‐phase lattice Boltzmann model (LBM), which has been rigorously validated through contact angle measurements, Laplace pressure tests, grid independence checks, and comparisons with experimental data to ensure high predictive accuracy. The research systematically analyzes the governing liquid water transport in orderly gradient perforation MPLs. Leveraging this reliable modeling platform, the study conducts an exhaustive optimization analysis of gradient direction, gradation counts, and perforation geometry under constant porosity conditions. Findings reveal that negative gradient perforation designs significantly outperform positive gradient and conventional straight perforations, enhancing dry pore retention by at least 10.8%. Within the gradation counts, the ternary gradient structure further boosts channel retention by an additional minimum of 14.9% compared to quinary and continuous gradient structures. Moreover, cylindrical perforations demonstrate a substantial decrease surpassing spherical and square designs by at least 13.8% for liquid water saturation. Critically, the optimized model effectively inhibit the formation of saturation‐induced blockages in localized thickness regions. In conclusion, the investigation offers a robust basis for advancing MPL design strategies, targeting improved electrochemical processes and battery performance.
{"title":"Liquid water transport mechanism inside fuel cells with orderly graded perforation microporous layer","authors":"Tao Jiang, Zhenqian Chen, Chaoling Han","doi":"10.1002/apj.3146","DOIUrl":"https://doi.org/10.1002/apj.3146","url":null,"abstract":"This study aims to enhance the liquid water distribution within electrodes by innovatively designing a microporous layer (MPL) featuring orderly gradient perforations. Utilizing a multi‐component multi‐phase lattice Boltzmann model (LBM), which has been rigorously validated through contact angle measurements, Laplace pressure tests, grid independence checks, and comparisons with experimental data to ensure high predictive accuracy. The research systematically analyzes the governing liquid water transport in orderly gradient perforation MPLs. Leveraging this reliable modeling platform, the study conducts an exhaustive optimization analysis of gradient direction, gradation counts, and perforation geometry under constant porosity conditions. Findings reveal that negative gradient perforation designs significantly outperform positive gradient and conventional straight perforations, enhancing dry pore retention by at least 10.8%. Within the gradation counts, the ternary gradient structure further boosts channel retention by an additional minimum of 14.9% compared to quinary and continuous gradient structures. Moreover, cylindrical perforations demonstrate a substantial decrease surpassing spherical and square designs by at least 13.8% for liquid water saturation. Critically, the optimized model effectively inhibit the formation of saturation‐induced blockages in localized thickness regions. In conclusion, the investigation offers a robust basis for advancing MPL design strategies, targeting improved electrochemical processes and battery performance.","PeriodicalId":8852,"journal":{"name":"Asia-Pacific Journal of Chemical Engineering","volume":null,"pages":null},"PeriodicalIF":1.8,"publicationDate":"2024-08-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142227376","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Ke Yang, Xuerui Li, Hong Ji, Zhixiang Xing, Juncheng Jiang, Xinlong Ji
The application of industrial solid waste coal gangue (CG) in gas explosion suppression is explored, which opens up a new way for the resource utilization of CG. Two modified CG anti‐explosion agents, first‐grade modified CG (RCG) and second‐grade modified CG (MCG), were prepared by roasting activation and acid–base synergistic excitation. The explosion suppression performance of CG, RCG, and MCG was investigated through a 2.5 L semi‐closed explosion pipe. The experimental results were compared and analyzed, and their pyrolysis characteristics, phase composition, and particle size were analyzed to reveal their explosion suppression mechanism. It was proved that MCG had the best explosion suppression effect. Under the condition of 9.5% methane–air, it was found that the explosion suppression effect was most significant when the powder mass of the three powders was 300, 360, and 360 mg, respectively. The peak explosion overpressure is reduced by 10.51%, 21.96%, and 32.66%, respectively, and the peak arrival time of flame velocity is extended by .14 times, .20 times, and 1.15 times, respectively. MCG can effectively inhibit methane explosion utilizing physical and chemical synergistic heat absorption, porous structure formation barrier, heat isolation, oxygen dilution, adsorption, and capture of free radicals.
{"title":"Inhibitory effect and mechanism analysis of modified coal gangue powder on the methane–air explosion","authors":"Ke Yang, Xuerui Li, Hong Ji, Zhixiang Xing, Juncheng Jiang, Xinlong Ji","doi":"10.1002/apj.3147","DOIUrl":"https://doi.org/10.1002/apj.3147","url":null,"abstract":"The application of industrial solid waste coal gangue (CG) in gas explosion suppression is explored, which opens up a new way for the resource utilization of CG. Two modified CG anti‐explosion agents, first‐grade modified CG (RCG) and second‐grade modified CG (MCG), were prepared by roasting activation and acid–base synergistic excitation. The explosion suppression performance of CG, RCG, and MCG was investigated through a 2.5 L semi‐closed explosion pipe. The experimental results were compared and analyzed, and their pyrolysis characteristics, phase composition, and particle size were analyzed to reveal their explosion suppression mechanism. It was proved that MCG had the best explosion suppression effect. Under the condition of 9.5% methane–air, it was found that the explosion suppression effect was most significant when the powder mass of the three powders was 300, 360, and 360 mg, respectively. The peak explosion overpressure is reduced by 10.51%, 21.96%, and 32.66%, respectively, and the peak arrival time of flame velocity is extended by .14 times, .20 times, and 1.15 times, respectively. MCG can effectively inhibit methane explosion utilizing physical and chemical synergistic heat absorption, porous structure formation barrier, heat isolation, oxygen dilution, adsorption, and capture of free radicals.","PeriodicalId":8852,"journal":{"name":"Asia-Pacific Journal of Chemical Engineering","volume":null,"pages":null},"PeriodicalIF":1.8,"publicationDate":"2024-08-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142220367","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Sonochemistry is a fascinating field that has drawn considerable interest from researchers across different disciplines. One of the key challenges in this field is the accurate characterization of the sonochemical field, which is crucial for understanding the underlying mechanisms and optimizing the process. To address this challenge, researchers have developed various monitoring methods that allow them to measure key parameters such as the intensity, frequency, and distribution of acoustic waves in the sonoreactor. In this review, we focus on the chemical dosimetry techniques that are commonly used for sonochemical monitoring. These techniques have been extensively studied in the literature and are known for their reliability and accuracy. However, as we will see, the performance of these techniques can vary depending on the chemical nature of the probing species and the experimental conditions, highlighting the need for a careful selection and calibration of the monitoring method. We begin by discussing the principles of chemical dosimetry in sonochemistry and how these methods can be used to measure key sono‐acoustic parameters. We then provide a detailed analysis of the various dosimetry techniques, including their advantages, limitations, and applicability under different operating conditions. In summary, our review serves as a valuable resource for researchers seeking to optimize their sonochemical experiments and contribute to the advancement of this fascinating field.
{"title":"Monitoring the sonochemical field: A critical review of chemical dosimetry methods","authors":"Aissa Dehane, Slimane Merouani","doi":"10.1002/apj.3141","DOIUrl":"https://doi.org/10.1002/apj.3141","url":null,"abstract":"Sonochemistry is a fascinating field that has drawn considerable interest from researchers across different disciplines. One of the key challenges in this field is the accurate characterization of the sonochemical field, which is crucial for understanding the underlying mechanisms and optimizing the process. To address this challenge, researchers have developed various monitoring methods that allow them to measure key parameters such as the intensity, frequency, and distribution of acoustic waves in the sonoreactor. In this review, we focus on the chemical dosimetry techniques that are commonly used for sonochemical monitoring. These techniques have been extensively studied in the literature and are known for their reliability and accuracy. However, as we will see, the performance of these techniques can vary depending on the chemical nature of the probing species and the experimental conditions, highlighting the need for a careful selection and calibration of the monitoring method. We begin by discussing the principles of chemical dosimetry in sonochemistry and how these methods can be used to measure key sono‐acoustic parameters. We then provide a detailed analysis of the various dosimetry techniques, including their advantages, limitations, and applicability under different operating conditions. In summary, our review serves as a valuable resource for researchers seeking to optimize their sonochemical experiments and contribute to the advancement of this fascinating field.","PeriodicalId":8852,"journal":{"name":"Asia-Pacific Journal of Chemical Engineering","volume":null,"pages":null},"PeriodicalIF":1.8,"publicationDate":"2024-08-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142220419","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
This study focuses on enhancing the properties of kaolin (Kao) clay by incorporating Zinc oxide nanoparticles (ZnO NPs) and further functionalizing with agar biopolymer, resulting in the formation of Agar/Kao@ZnO nanocomposite (NC). The synthesized material underwent comprehensive composition, structure, surface, and optical properties analysis to confirm the formation. The material was evaluated as a photocatalyst for the degradation of 2,4-dinitrophenol (DNP) under visible light irradiation. The optimized conditions for the photocatalytic degradation of DNP were determined as irradiation time 50 minutes, pH 4, catalyst dose 20 mg, and DNP concentration of 25 mg L−1, resulting in degradation efficiency of 99.63%. Trapping experiment validated the significant role of hydroxyl (•OH) radicals as reactive oxidant species (ROS) in the degradation of DNP in the presence of visible light. Through four consecutive cycles of reusability experiments, it was confirmed that the synthesized material is highly stable and efficient for DNP degradation.
{"title":"ZnO-doped kaolin nanoclay immobilized agar biopolymer for 2,4-dinitrophenol photocatalytic degradation","authors":"Imran Hasan, Akshara Bassi, Parvathalu Kalakonda, Kushal Kanungo","doi":"10.1002/apj.3144","DOIUrl":"https://doi.org/10.1002/apj.3144","url":null,"abstract":"This study focuses on enhancing the properties of kaolin (Kao) clay by incorporating Zinc oxide nanoparticles (ZnO NPs) and further functionalizing with agar biopolymer, resulting in the formation of Agar/Kao@ZnO nanocomposite (NC). The synthesized material underwent comprehensive composition, structure, surface, and optical properties analysis to confirm the formation. The material was evaluated as a photocatalyst for the degradation of 2,4-dinitrophenol (DNP) under visible light irradiation. The optimized conditions for the photocatalytic degradation of DNP were determined as irradiation time 50 minutes, pH 4, catalyst dose 20 mg, and DNP concentration of 25 mg L<sup>−1</sup>, resulting in degradation efficiency of 99.63%. Trapping experiment validated the significant role of hydroxyl (<sup>•</sup>OH) radicals as reactive oxidant species (ROS) in the degradation of DNP in the presence of visible light. Through four consecutive cycles of reusability experiments, it was confirmed that the synthesized material is highly stable and efficient for DNP degradation.","PeriodicalId":8852,"journal":{"name":"Asia-Pacific Journal of Chemical Engineering","volume":null,"pages":null},"PeriodicalIF":1.8,"publicationDate":"2024-08-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142220369","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
The dynamic operation and deep peak-shaving of power-generating units cause significant fluctuations in flue gas flowrate, thus affecting the accuracy of CO2 emissions measured by continuous emission monitoring systems (CEMS). This study established a long short-term memory network with an attention mechanism (LSTM-AM) for the soft measurement of the flue gas flowrate in real-time. First, flue gas flowrate data and continuous operation parameters over 25 days were sampled from a typical 660 MW coal-fired boiler in China. Then, a carbon balance model was established to verify the data reliability. The LSTM-AM model was trained and testified at the 660 MW coal-fired boiler. Results show that the LSTM-AM model significantly surpassed the pristine LSTM model without attention, the convolutional neural network (CNN) with LSTM, and the static support vector regression (SVR) model in the real-time prediction of flue gas flowrate. Finally, the LSTM-AM model was generalized to a 630 MW coal-fired power unit via transfer learning, which was further demonstrated to outperform the model re-trained from scratch. This work manifests the feasibility of deep learning for the soft measurement of flue gas flowrate, which is promising to solve data-lagging issues when measuring CO2 emissions from coal-fired power plants.
{"title":"Leveraging long short-term memory networks and transfer learning for the soft-measurement of flue gas flowrate from coal-fired boilers","authors":"Jiahui Lu, Hongjian Tang, Lunbo Duan","doi":"10.1002/apj.3136","DOIUrl":"https://doi.org/10.1002/apj.3136","url":null,"abstract":"The dynamic operation and deep peak-shaving of power-generating units cause significant fluctuations in flue gas flowrate, thus affecting the accuracy of CO<sub>2</sub> emissions measured by continuous emission monitoring systems (CEMS). This study established a long short-term memory network with an attention mechanism (LSTM-AM) for the soft measurement of the flue gas flowrate in real-time. First, flue gas flowrate data and continuous operation parameters over 25 days were sampled from a typical 660 MW coal-fired boiler in China. Then, a carbon balance model was established to verify the data reliability. The LSTM-AM model was trained and testified at the 660 MW coal-fired boiler. Results show that the LSTM-AM model significantly surpassed the pristine LSTM model without attention, the convolutional neural network (CNN) with LSTM, and the static support vector regression (SVR) model in the real-time prediction of flue gas flowrate. Finally, the LSTM-AM model was generalized to a 630 MW coal-fired power unit via transfer learning, which was further demonstrated to outperform the model re-trained from scratch. This work manifests the feasibility of deep learning for the soft measurement of flue gas flowrate, which is promising to solve data-lagging issues when measuring CO<sub>2</sub> emissions from coal-fired power plants.","PeriodicalId":8852,"journal":{"name":"Asia-Pacific Journal of Chemical Engineering","volume":null,"pages":null},"PeriodicalIF":1.8,"publicationDate":"2024-08-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142220368","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Bo Wang, Pei‐ya Li, Shu‐han Lu, Bin Wang, Fusheng Yang, Tao Fang
Liquid organic hydrogen carrier (LOHC) technology has unique advantages in hydrogen storage and transportation. However, the lack of research on the continuous dehydrogenation process of LOHCs has hindered the design and application of industrial dehydrogenation processes. In this work, a highly active dehydrogenation catalyst 1.5 wt% Pd/activated carbon (Pd/C) and a commercial catalyst 5 wt% Pd/Al2O3 were used for the continuous dehydrogenation of dodecahydro‐N‐ethylcarbazole (12H‐NEC). Based on a tubular reactor and lab‐scale apparatus, 1.5 wt% Pd/C catalyst achieved a maximum dehydrogenation conversion of 98.3% and a maximum NEC selectivity of 95.3%, while dehydrogenation conversion and NEC selectivity with 5 wt% Pd/Al2O3 were 98.3% and 97.6%, respectively. It showed the equally excellent performance between Pd/C and Pd/Al2O3, and the former has less Pd loading than the latter, with the potential of reducing the production cost of the dehydrogenation catalyst. The dehydrogenation results also indicated the difference in catalytic performance between the two kinds of catalysts. The obtained kinetics data were analyzed, and the dynamics of continuous dehydrogenation were studied to provide fundamental information for dehydrogenation scale‐up.
{"title":"A kinetics study on continuous dehydrogenation of dodecahydro‐N‐ethylcarbazole","authors":"Bo Wang, Pei‐ya Li, Shu‐han Lu, Bin Wang, Fusheng Yang, Tao Fang","doi":"10.1002/apj.3131","DOIUrl":"https://doi.org/10.1002/apj.3131","url":null,"abstract":"Liquid organic hydrogen carrier (LOHC) technology has unique advantages in hydrogen storage and transportation. However, the lack of research on the continuous dehydrogenation process of LOHCs has hindered the design and application of industrial dehydrogenation processes. In this work, a highly active dehydrogenation catalyst 1.5 wt% Pd/activated carbon (Pd/C) and a commercial catalyst 5 wt% Pd/Al<jats:sub>2</jats:sub>O<jats:sub>3</jats:sub> were used for the continuous dehydrogenation of dodecahydro‐N‐ethylcarbazole (12H‐NEC). Based on a tubular reactor and lab‐scale apparatus, 1.5 wt% Pd/C catalyst achieved a maximum dehydrogenation conversion of 98.3% and a maximum NEC selectivity of 95.3%, while dehydrogenation conversion and NEC selectivity with 5 wt% Pd/Al<jats:sub>2</jats:sub>O<jats:sub>3</jats:sub> were 98.3% and 97.6%, respectively. It showed the equally excellent performance between Pd/C and Pd/Al<jats:sub>2</jats:sub>O<jats:sub>3</jats:sub>, and the former has less Pd loading than the latter, with the potential of reducing the production cost of the dehydrogenation catalyst. The dehydrogenation results also indicated the difference in catalytic performance between the two kinds of catalysts. The obtained kinetics data were analyzed, and the dynamics of continuous dehydrogenation were studied to provide fundamental information for dehydrogenation scale‐up.","PeriodicalId":8852,"journal":{"name":"Asia-Pacific Journal of Chemical Engineering","volume":null,"pages":null},"PeriodicalIF":1.8,"publicationDate":"2024-08-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142220370","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
The current investigation deals with improving the synthesis of cobalt‐doped titanium dioxide (TiO2) utilizing both ultrasound‐assisted and conventional impregnation methods with an objective to obtain better catalyst characteristics. The impacts of process parameters such as sonication power, irradiation time, duty cycle and precursor doping on the catalyst characteristics have been analysed to optimize the catalyst characteristics including its particle size. Different characterization methods, including XRD, BET, TEM and FTIR have been used to compare the catalysts produced using both approaches under optimal conditions. Catalyst synthesized at 1 mol% doping, 90 min as irradiation time, 80 W as sonication power and 50% as duty cycle showed a minimum particle size of 231 nm and surface area of 9.2 m2/g. The catalyst obtained utilizing the ultrasound‐assisted technique was obtained in significantly lesser time (90 min) compared to the catalyst obtained using the conventional approach (24 h). Photocatalytic oxidation tests carried out to determine the activity also showed that the Co‐doped TiO2 catalyst obtained ultrasonically showed maximum activity for degradation of Acid Violet 7 in conjunction with H2O2 at the optimal loading.
{"title":"Improved synthesis of cobalt‐doped TiO2 catalyst using ultrasound and subsequent application for Acid Violet 7 degradation","authors":"Prerna Pandey, Parag R. Gogate","doi":"10.1002/apj.3142","DOIUrl":"https://doi.org/10.1002/apj.3142","url":null,"abstract":"The current investigation deals with improving the synthesis of cobalt‐doped titanium dioxide (TiO<jats:sub>2</jats:sub>) utilizing both ultrasound‐assisted and conventional impregnation methods with an objective to obtain better catalyst characteristics. The impacts of process parameters such as sonication power, irradiation time, duty cycle and precursor doping on the catalyst characteristics have been analysed to optimize the catalyst characteristics including its particle size. Different characterization methods, including XRD, BET, TEM and FTIR have been used to compare the catalysts produced using both approaches under optimal conditions. Catalyst synthesized at 1 mol% doping, 90 min as irradiation time, 80 W as sonication power and 50% as duty cycle showed a minimum particle size of 231 nm and surface area of 9.2 m<jats:sup>2</jats:sup>/g. The catalyst obtained utilizing the ultrasound‐assisted technique was obtained in significantly lesser time (90 min) compared to the catalyst obtained using the conventional approach (24 h). Photocatalytic oxidation tests carried out to determine the activity also showed that the Co‐doped TiO<jats:sub>2</jats:sub> catalyst obtained ultrasonically showed maximum activity for degradation of Acid Violet 7 in conjunction with H<jats:sub>2</jats:sub>O<jats:sub>2</jats:sub> at the optimal loading.","PeriodicalId":8852,"journal":{"name":"Asia-Pacific Journal of Chemical Engineering","volume":null,"pages":null},"PeriodicalIF":1.8,"publicationDate":"2024-08-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142220371","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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