Huan Yang, Yuenan Zheng, Ya-Dong Xie, Wen-Cui Li, An-Hui Lu
{"title":"Alumina-supported non-noble metal high-entropy catalysts with stabilized active tetrahedral Co2+ species for propane dehydrogenation","authors":"Huan Yang, Yuenan Zheng, Ya-Dong Xie, Wen-Cui Li, An-Hui Lu","doi":"10.1016/j.ces.2026.125058","DOIUrl":"https://doi.org/10.1016/j.ces.2026.125058","url":null,"abstract":"Co-based catalysts are promising non-noble metal candidates for propane dehydrogenation (PDH) owing to the high activity and cost-effectiveness, while their stability is limited by the rapid sintering and coking deactivation during reaction. Herein, an alumina-supported non-noble metal high-entropy catalyst (CoGaZnCeCaO<ce:inf loc=\"post\">x</ce:inf>/Al<ce:inf loc=\"post\">2</ce:inf>O<ce:inf loc=\"post\">3</ce:inf>) with stabilized active tetrahedral Co<ce:sup loc=\"post\">2+</ce:sup> species was designed based on the high electronegativity of Co species, exhibiting the propane conversion of 18.5% with propylene selectivity of 80.0% at 600 °C over 50 h with a deactivation rate constant as low as 0.0035 h<ce:sup loc=\"post\">−1</ce:sup>. Due to the sluggish diffusion effect of high-entropy structure, the migration of surface metal species was hindered. This prevented the aggregation of crystalline particles, allowing the metals to remain highly and uniformly dispersed while remaining stable even under a strongly reducing atmosphere. The high configurational entropy suppressed the precipitation of metallic Co during reduction and ensured stability of the tetrahedral Co<ce:sup loc=\"post\">2+</ce:sup> species. Meanwhile, the higher electronegativity rendered Co<ce:sup loc=\"post\">2+</ce:sup> species electron-rich, promoting propylene desorption and inhibiting deep dehydrogenation, which thereby significantly boosted anti-coking performance of CoGaZnCeCaO<ce:inf loc=\"post\">x</ce:inf>/Al<ce:inf loc=\"post\">2</ce:inf>O<ce:inf loc=\"post\">3</ce:inf>, as coke deposited was nearly four times lower than on CoO<ce:inf loc=\"post\">x</ce:inf>/Al<ce:inf loc=\"post\">2</ce:inf>O<ce:inf loc=\"post\">3</ce:inf>. Additionally, such high-entropy catalyst showed superior regenerability, featuring uniform element distribution and no detectable Co sintering after regeneration. This work provides a new strategy for developing stable non-noble metal PDH catalysts.","PeriodicalId":271,"journal":{"name":"Chemical Engineering Science","volume":"47 1","pages":""},"PeriodicalIF":4.7,"publicationDate":"2026-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148884578","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Haixia Li,Zhanli Han,Xinyu Zheng,Zehua Ren,Shiyang Chai,Lei Zhang,Xu Ji
{"title":"Intelligent molecular design of working fluid and multi-objective optimization of system for ocean thermal energy conversion","authors":"Haixia Li,Zhanli Han,Xinyu Zheng,Zehua Ren,Shiyang Chai,Lei Zhang,Xu Ji","doi":"10.1016/j.ces.2026.125094","DOIUrl":"https://doi.org/10.1016/j.ces.2026.125094","url":null,"abstract":"","PeriodicalId":271,"journal":{"name":"Chemical Engineering Science","volume":"97 1","pages":"125094"},"PeriodicalIF":4.7,"publicationDate":"2026-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148895614","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Sajad Jafari, Ali Najarnezhadmashhadi, Carl Häggmark, Ran Yao, Henrik Kusar, Christophe Duwig
{"title":"Scale-Up CFD Analysis of Spray Towers for CO2 Absorption: Design Implications of Multi-Stage Spray Architectures","authors":"Sajad Jafari, Ali Najarnezhadmashhadi, Carl Häggmark, Ran Yao, Henrik Kusar, Christophe Duwig","doi":"10.1016/j.ces.2026.125023","DOIUrl":"https://doi.org/10.1016/j.ces.2026.125023","url":null,"abstract":"Spray absorption offers a promising route for post-combustion CO<ce:inf loc=\"post\">2</ce:inf> capture within carbon capture and storage systems, but scaling to industrial towers requires effective control of droplet spatial distribution and fresh-solvent availability, rather than increasing tower size or solvent flow rate alone. This work extends a previously validated Eulerian–Lagrangian reactive computational fluid dynamics (CFD) framework for NaOH-based CO<ce:inf loc=\"post\">2</ce:inf> absorption to a 15 m-high, 3 m-diameter tower with up to 39 injectors across three vertical levels. Parameters examined include gas inlet configuration, injector number, spray cone angle, vertical staging, level spacing, injection orientation, operating pressure, and spray atomization. Absorber performance is governed primarily by droplet distribution and fresh-solvent availability along the gas path. At fixed total liquid flow rate, increasing the number of injectors from one to six raised removal efficiency from 35–40% to 90–95%. Increasing the cone angle from 60<ce:sup loc=\"post\">∘</ce:sup> to 100<ce:sup loc=\"post\">∘</ce:sup> raised CO<ce:inf loc=\"post\">2</ce:inf> removal efficiency from 74% to 85%, an absolute gain of 11 percentage points. Multi-level injection supplies fresh reactive droplets along the gas path and extends the active absorption region, while configurations that maintain solvent availability near the outlet better support residual CO<ce:inf loc=\"post\">2</ce:inf> removal. Elevated pressure further increases the attainable capture level; for the finer spray case, increasing pressure from 1 to 5 bar raised removal efficiency from roughly 80% to nearly complete removal. Overall, the scale-up results indicate that high CO<ce:inf loc=\"post\">2</ce:inf> removal requires uniform droplet distribution across the tower, continued fresh-solvent availability along the gas path, and coordinated use of finer atomization and elevated pressure to enhance gas–liquid mass transfer.","PeriodicalId":271,"journal":{"name":"Chemical Engineering Science","volume":"17 1","pages":""},"PeriodicalIF":4.7,"publicationDate":"2026-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148884605","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Flow behavior and residence time optimization of Geldart C desulfurization ash particles in a loop-coupled circulating fluidized bed riser","authors":"Xiaogang Shi,Zhihui Li,Xiao Yang,Bin Liu,Chengxiu Wang,Zeneng Sun,Xingying Lan,Jinsen Gao","doi":"10.1016/j.ces.2026.125066","DOIUrl":"https://doi.org/10.1016/j.ces.2026.125066","url":null,"abstract":"","PeriodicalId":271,"journal":{"name":"Chemical Engineering Science","volume":"74 1","pages":"125066"},"PeriodicalIF":4.7,"publicationDate":"2026-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148895609","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Energy- and Cost-Effective CO2 capture using MEA/PZ in Coal-Fired power Plants: Advanced Design, Optimization, and analysis","authors":"Dat-Nguyen Vo,Tan-Khang Pham,Lan Le Phuc,Nguyen Phuc Thien Le,Meng Qi,Dinh-Quan Nguyen,Mai Thanh Phong","doi":"10.1016/j.ces.2026.125086","DOIUrl":"https://doi.org/10.1016/j.ces.2026.125086","url":null,"abstract":"","PeriodicalId":271,"journal":{"name":"Chemical Engineering Science","volume":"15 1","pages":"125086"},"PeriodicalIF":4.7,"publicationDate":"2026-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148895612","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Minze Li, Yong Zhang, Jiaying Dang, Yuan Gao, Han Jia, Junzhe Chu, Zhaomin Li, Xueqin Li
{"title":"Physics-informed neural network hybrid modeling for CO2/N2 binary adsorption optimization and prediction","authors":"Minze Li, Yong Zhang, Jiaying Dang, Yuan Gao, Han Jia, Junzhe Chu, Zhaomin Li, Xueqin Li","doi":"10.1016/j.ces.2026.125071","DOIUrl":"https://doi.org/10.1016/j.ces.2026.125071","url":null,"abstract":"Hybrid modeling based on machine learning effectively accelerates the optimization of adsorption processes. In this work, a physics-informed neural network (PINN) hybrid model is developed for parameter optimization and multi-pressure prediction in CO<ce:inf loc=\"post\">2</ce:inf>/N<ce:inf loc=\"post\">2</ce:inf> binary adsorption. For repetitive simulations in parameter optimization and multi-pressure prediction, conventional numerical simulations require full recalculation for each case, while the trained PINN hybrid model enables millisecond-level prediction. The proposed PINN hybrid model successfully achieves the deep integration of physical mechanisms and data-driven methods, retaining the physical rigor of numerical simulations while possessing the rapid prediction capability of neural networks. This hybrid model provides a transferable universal framework for the numerical simulation, parameter identification, and process optimization of adsorption and separation processes in porous materials.","PeriodicalId":271,"journal":{"name":"Chemical Engineering Science","volume":"43 1","pages":""},"PeriodicalIF":4.7,"publicationDate":"2026-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148884574","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"CFD simulation of aerosol removal in pool scrubbing using an Euler-Euler approach","authors":"Shiwang Li, Mazen Draw, Yixiang Liao","doi":"10.1016/j.ces.2026.125069","DOIUrl":"https://doi.org/10.1016/j.ces.2026.125069","url":null,"abstract":"Pool scrubbing is a key mitigation mechanism for limiting radioactive aerosol release under nuclear reactor accident conditions. Its effectiveness is governed by the coupled dynamics of bubble rise and aerosol transport in the gas phase, with centrifugal impaction, gravitational sedimentation, and Brownian diffusion as the dominant removal mechanisms. While computational fluid dynamics (CFD) provides a suitable framework for resolving these interactions, detailed CFD studies of aerosol removal in pool scrubbing remain scarce.","PeriodicalId":271,"journal":{"name":"Chemical Engineering Science","volume":"38 1","pages":""},"PeriodicalIF":4.7,"publicationDate":"2026-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148884575","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Constrained Sensing and Reliable State Estimation with Shallow Recurrent Decoders on a TRIGA Mark II Reactor","authors":"Stefano Riva,Carolina Introini,J. Nathan Kutz,Antonio Cammi","doi":"10.1016/j.ces.2026.125037","DOIUrl":"https://doi.org/10.1016/j.ces.2026.125037","url":null,"abstract":"","PeriodicalId":271,"journal":{"name":"Chemical Engineering Science","volume":"58 1","pages":"125037"},"PeriodicalIF":4.7,"publicationDate":"2026-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148895607","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
J. Utzig, J.G. Ramírez, J.A.M. Kuipers, F.J. Souza, H.F. Meier
{"title":"On the dynamics of gas–solid flow in a pilot-scale CFB riser: an experimental analysis","authors":"J. Utzig, J.G. Ramírez, J.A.M. Kuipers, F.J. Souza, H.F. Meier","doi":"10.1016/j.ces.2026.125049","DOIUrl":"https://doi.org/10.1016/j.ces.2026.125049","url":null,"abstract":"Circulating fluidized beds (CFBs) are heterogeneous gas–solid reactors whose fluid dynamics are complex and poorly validated on a pilot scale. In this work, the dynamics of particle distribution were measured using Phase Doppler Anemometry (PDA) to provide quantitative data for understanding and modeling this phenomenology. The transverse fields of velocity, concentration, and diameter distribution at 17 radial points and three axial positions of the pilot-scale riser showed a persistent core-annulus structure, geometric influence causing azimuthal asymmetry and back-mixing, high velocity fluctuation near the wall, as well as radial and axial segregation of concentration and particle diameters in the riser. In the low-loading cases, particle velocity increased by more than 20% from the bottom to the top, while at the top centerline the densest case reached 28% above the superficial gas velocity; near-wall velocity fluctuations reached about 20% of the superficial gas velocity. The results provide a robust data set for validation of computational models and provide insights for optimized design on a larger scale.","PeriodicalId":271,"journal":{"name":"Chemical Engineering Science","volume":"43 1","pages":""},"PeriodicalIF":4.7,"publicationDate":"2026-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148884582","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}