Green Chemical Engineering最新文献

{"title":"An internal circulation rotating packed bed for green chemical engineering: structure optimization of liquid lifter","authors":"Zi-Lun Li ,&nbsp;Liang Zheng ,&nbsp;Li-Hua Wang ,&nbsp;Yi-Qian Wei ,&nbsp;Hai-Long Liao ,&nbsp;Guang-Wen Chu ,&nbsp;Yong Luo ,&nbsp;Jian-Feng Chen","doi":"10.1016/j.gce.2025.05.008","DOIUrl":"10.1016/j.gce.2025.05.008","url":null,"abstract":"<div><div>The internal circulation rotating packed beds (IN-RPBs) have been widely used in multiphase systems. However, its key component's liquid lifter suffers from the liquid lifting rate (<em>Q</em>_L), limiting the micro-mixing and mass transfer efficiency. In this study, the fluid motion inside the conventional lifter was theoretically analyzed. Based on the above theoretical analysis, a new impeller-equipped lifter was innovatively designed for the IN-RPB to enhance <em>Q</em>_L. Experiment results showed that <em>Q</em>_L was increased by 100% at 1400 r/min within the impeller-equipped lifter. Numerical simulations demonstrated that the flow field was altered in the impeller-equipped lifter, promoting the generation of vortices, thereby increasing the <em>Q</em>_L. Mass transfer experiments demonstrated that the structure optimization of the lifter led to a 60% increase in the gas-liquid volumetric mass transfer coefficient (<em>k</em>_L<em>a</em>). This study provides a basis for the industrialization of the IN-RPB with an impeller-equipped lifter.</div></div>","PeriodicalId":66474,"journal":{"name":"Green Chemical Engineering","volume":"6 4","pages":"Pages 551-561"},"PeriodicalIF":7.6,"publicationDate":"2025-05-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144917733","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"OFC: Outside Front Cover","authors":"","doi":"10.1016/S2666-9528(25)00023-8","DOIUrl":"10.1016/S2666-9528(25)00023-8","url":null,"abstract":"","PeriodicalId":66474,"journal":{"name":"Green Chemical Engineering","volume":"6 3","pages":"Page OFC"},"PeriodicalIF":9.1,"publicationDate":"2025-05-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144116104","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Outside Back Cover","authors":"","doi":"10.1016/S2666-9528(25)00032-9","DOIUrl":"10.1016/S2666-9528(25)00032-9","url":null,"abstract":"","PeriodicalId":66474,"journal":{"name":"Green Chemical Engineering","volume":"6 3","pages":"Page OBC"},"PeriodicalIF":9.1,"publicationDate":"2025-05-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144116665","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"A perspective on transforming fats, oil, and grease (FOG) into hydrogen: insights on steam reforming catalysts and the case study of Hong Kong using techno-economic analysis and life cycle assessment","authors":"Ariel Riofrio ,&nbsp;Miguel A. Bañares ,&nbsp;Zhenlei Zhang ,&nbsp;Xiangping Zhang ,&nbsp;King Lun Yeung","doi":"10.1016/j.gce.2025.05.002","DOIUrl":"10.1016/j.gce.2025.05.002","url":null,"abstract":"<div><div>The increasing demand for sustainable energy has intensified interest in hydrogen production from renewable sources. Although catalytic steam reforming of methane and other feedstocks has been extensively investigated, research on utilizing fats, oils, and grease (FOG) remains limited and dispersed. This study offers a comprehensive analysis of steam reforming catalysts for FOG conversion, concentrating on nickel-based, noble metal, and metal oxide-supported catalysts initially developed for methane, waste cooking oil, and glycerol. Catalyst performance is assessed in terms of activity, stability, cost, and environmental impact, addressing sustainable catalyst design and recycling principles. FOG management strategies are also explored, with a particular emphasis on Hong Kong, where FOG interception is crucial due to infrastructure constraints. Unlike cities where food waste is ground and flushed through extensive sewer systems, Hong Kong necessitates localized FOG removal to prevent costly blockages and environmental harm. A techno-economic analysis demonstrated the feasibility of producing H₂ at a selling price as low as USD 3/kg H₂, with a carbon capture potential of 0.40 kg CO₂-eq/kg H₂. Life cycle assessment (LCA) further confirmed environmental benefits, indicating the potential to capture 0.14 kg CO₂ per kg of FOG processed. Additionally, the study identifies opportunities for cost reduction through more efficient FOG acquisition and valorization, which can enhance carbon savings and economic viability. Overall, this work underscores the potential of FOG as a renewable feedstock and delineates key research directions for catalyst development and integrated waste-to-hydrogen systems.</div></div>","PeriodicalId":66474,"journal":{"name":"Green Chemical Engineering","volume":"6 4","pages":"Pages 473-493"},"PeriodicalIF":7.6,"publicationDate":"2025-05-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144917212","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Smooth pore surface in zeolites for krypton capture under humid conditions","authors":"Yongheng Ren ,&nbsp;Xiaohua Liu ,&nbsp;Genggeng Dai ,&nbsp;Lu Zhang ,&nbsp;Hongwei Chen ,&nbsp;Pengcheng Yang ,&nbsp;Ye Li ,&nbsp;Xinyue Yu ,&nbsp;Yang Chen ,&nbsp;Xiufeng Shi ,&nbsp;Peng Lin ,&nbsp;Jiangfeng Yang ,&nbsp;Jinping Li ,&nbsp;Libo Li","doi":"10.1016/j.gce.2025.04.005","DOIUrl":"10.1016/j.gce.2025.04.005","url":null,"abstract":"<div><div>Efficient trace radioactive krypton isotopes (⁸⁵Kr) capture from air under humid conditions is a critical challenge for nuclear safety and environmental protection. Commercial zeolites suffer from low Kr/N₂ selectivity due to cation-induced interactions that strengthen nitrogen (N₂) adsorption, while their hydrophilicity triggers severe water competition. Herein, we proposed utilizing the smooth pore surface in pure-silica zeolites to weaken the N₂ adsorption and mitigate water competition. The pure silica ZSM-11 exhibited significant Kr/N₂ selectivity (4.8) and Kr uptake of 12.8 cm³/g at 298 K and 1 bar, superior to the commercial zeolites. Its intersecting ten-membered ring (10-MR) channels facilitated optimal Kr interactions and distribution, as corroborated by Grand Canonical Monte Carlo (GCMC) simulations, which revealed preferential multisite Kr···O interactions with significantly higher Kr densities than N₂. Dynamic breakthrough experiments demonstrated that pure silica zeolites, particularly ZSM-11, achieved superior Kr capturing performance and cycling stability under humid conditions (relative humidity (RH) = 72.6%), realizing a leap from ppm levels to high purity (&gt; 80%) Kr. This work demonstrated the rational design of pore surface and topologies in zeolite for inert gases capture provided an effective technological route for radioactive krypton isotopes separation under humid conditions.</div></div>","PeriodicalId":66474,"journal":{"name":"Green Chemical Engineering","volume":"6 4","pages":"Pages 431-438"},"PeriodicalIF":7.6,"publicationDate":"2025-05-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144917208","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Poisoning mechanism of Ti0.8Zr0.2Cr0.75Mn1.25Ce0.01 hydrogen storage alloy by trace H2S, CO, and CH4","authors":"Tianmeng He ,&nbsp;Xiaoyi Xue ,&nbsp;Ke Wang ,&nbsp;Honghua Zhang ,&nbsp;Ao Li ,&nbsp;Yajie Zhang ,&nbsp;He Zhang ,&nbsp;Hao Wang ,&nbsp;Yanrong Liu","doi":"10.1016/j.gce.2025.05.001","DOIUrl":"10.1016/j.gce.2025.05.001","url":null,"abstract":"<div><div>TiMn₂-based alloys hold significant application potential due to their moderate hydrogen storage operating conditions and exceptional volumetric hydrogen storage density. Industrial by-product hydrogen, which is widely available and relatively cheap, often contains components such as H₂S, CO, and CH₄, whose poisoning mechanism on TiMn₂-based alloys in the process of hydrogen absorption and desorption remains to be elucidated. In this work, the poisoning mechanisms of H₂S, CO, and CH₄ on Ti_0.8Zr_0.2Cr_0.75Mn_1.25Ce_0.01 hydrogen storage alloy were investigated by isothermal adsorption curve, X-ray photoelectron spectroscopy (XPS), and scanning electron microscope-energy dispersive spectroscopy (SEM-EDS). The results showed that the toxicity of impurity gases on the alloy is CO &gt; H₂S &gt; CH₄, and the regeneration difficulty was H₂S &gt; CO &gt; CH₄. The hydrogen absorption of the Ti_0.8Zr_0.2Cr_0.75Mn_1.25Ce_0.0₁ alloy was restored to 58.59% after five groups of H₂S poisoning-regeneration cycles. The hydrogen storage capacity retention rate decreased to 4.03% after five groups of CO poisoning, but the alloy recovered to 96.62% of the hydrogen absorption capacity after regeneration with pure hydrogen. The retention rate of the alloy was 100% after 100 cycles of CH₄ poisoning. According to the results of XPS analysis, two metal sulfides (TiS and ZrS₂) and one metal sulfate Zr(SO₄)₂ were formed after the Ti_0.8Zr_0.2Cr_0.75Mn_1.25Ce_0.0₁ alloy was poisoned by H₂S. Therefore, H₂S poisoning belongs to irreversible adsorption and CO belongs to reversible adsorption. The poisoning mechanism may guide the design of alloys for the absorption/desorption of industrial by-product hydrogen.</div></div>","PeriodicalId":66474,"journal":{"name":"Green Chemical Engineering","volume":"6 4","pages":"Pages 538-550"},"PeriodicalIF":7.6,"publicationDate":"2025-05-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144917732","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"OFC: Outside Front Cover","authors":"","doi":"10.1016/S2666-9528(25)00006-8","DOIUrl":"10.1016/S2666-9528(25)00006-8","url":null,"abstract":"","PeriodicalId":66474,"journal":{"name":"Green Chemical Engineering","volume":"6 2","pages":"Page OFC"},"PeriodicalIF":9.1,"publicationDate":"2025-03-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143594170","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Outside Back Cover","authors":"","doi":"10.1016/S2666-9528(25)00015-9","DOIUrl":"10.1016/S2666-9528(25)00015-9","url":null,"abstract":"","PeriodicalId":66474,"journal":{"name":"Green Chemical Engineering","volume":"6 2","pages":"Page OBC"},"PeriodicalIF":9.1,"publicationDate":"2025-03-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143594167","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Critical evaluation of feature importance assessment in FFNN-based models for predicting Kamlet-Taft parameters","authors":"Yoshiyasu Takefuji","doi":"10.1016/j.gce.2025.01.003","DOIUrl":"10.1016/j.gce.2025.01.003","url":null,"abstract":"<div><div>Mohan et al. developed a feed-forward neural network (FFNN) model to predict Kamlet-Taft parameters using quantum chemically derived features, achieving notable predictive accuracy. However, this study raises concerns about conflating prediction accuracy with feature importance accuracy, as high R² and low root mean square error (RMSE) do not guarantee valid feature importance assessments. The reliance on SHapley Additive exPlanations (SHAP) for feature evaluation is problematic due to model-specific biases that could misrepresent true associations. A broader understanding of data distribution, statistical relationships, and significance testing through p-values is essential to rectify this. This paper advocates for employing robust statistical methods, like Spearman's correlation, to effectively assess genuine associations and mitigate biases in feature importance analysis.</div></div>","PeriodicalId":66474,"journal":{"name":"Green Chemical Engineering","volume":"6 3","pages":"Pages 289-290"},"PeriodicalIF":9.1,"publicationDate":"2025-01-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144116105","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Artificial intelligence for chemical engineering","authors":"Zhen Song ,&nbsp;Weifeng Shen ,&nbsp;Zhiwen Qi ,&nbsp;José María Ponce Ortega","doi":"10.1016/j.gce.2025.01.001","DOIUrl":"10.1016/j.gce.2025.01.001","url":null,"abstract":"","PeriodicalId":66474,"journal":{"name":"Green Chemical Engineering","volume":"6 2","pages":"Pages 137-138"},"PeriodicalIF":9.1,"publicationDate":"2025-01-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143594171","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}