Chemical Engineering Research & Design最新文献

{"title":"Scaling-up high internal phase Pickering emulsions in stirred tanks","authors":"Mina Saghaei ,&nbsp;Edith Roland Fotsing ,&nbsp;Annie Ross ,&nbsp;Louis Fradette","doi":"10.1016/j.cherd.2025.07.031","DOIUrl":"10.1016/j.cherd.2025.07.031","url":null,"abstract":"<div><div>This study investigates the effect of the scale-up exponent on droplet size in high internal phase Pickering emulsions (HIPPEs) within the laminar regime. Through systematic analysis, we demonstrate that a scale-up exponent of zero, which maintains a constant shear stress, results in consistent droplet size across all scales. We explore the relationship between droplet size, power-law index, consistency index and Metzner-Otto constant, establishing a correlation that accurately predicts the required power per unit volume for achieving the desired droplet size. Further analysis of the relationship between <em>Droplet size</em> and specific energy reveals that droplet size decreases with increasing specific energy until reaching an equilibrium size. Beyond the equilibrium point, <em>Droplet size</em> correlates with power per volume (<em>P/V</em>). These two curves can serve as a predictive tool for estimating the required <em>P/V</em> and revolution number to achieve target droplet sizes. Our findings suggest that emulsion viscosity, rotational speed, and revolution number are crucial parameters for controlling droplet size, thereby optimizing HIPPEs for industrial-scale applications.<em>3232</em></div></div>","PeriodicalId":10019,"journal":{"name":"Chemical Engineering Research & Design","volume":"220 ","pages":"Pages 682-693"},"PeriodicalIF":3.9,"publicationDate":"2025-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144757570","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Exploratory electrosorption performance of dual chambered cylindrical flow through system: A response surface approach","authors":"Vigneshhwaran Ganesan ,&nbsp;Meera Sheriffa Begum Kadhar Mohamed","doi":"10.1016/j.cherd.2025.07.043","DOIUrl":"10.1016/j.cherd.2025.07.043","url":null,"abstract":"<div><div>Capacitive deionization (CDI) is a promising water reclamation technology that gains attention owing to its low energy consumption and enhanced deionization performance. CDI cell architecture plays a significant contribution towards the deionization performance in addition to the electrode’s properties. Thus, the present study introduces a novel dual chambered, membrane-free cylindrical CDI recirculation flow reactor (DCC-CDI) for the heavy metal deionization. The cylindrical geometry enhances residence time, reduces backmixing and uniform flow, while the dual chamber design improves ion–electrode contact and reduces co-ion expulsion, without relying on ion-exchange membranes. Response Surface Methodology (RSM) using Central Composite Design (CCD) was employed to optimize operating parameters such as applied voltage (1–2 V), flow rate (30–50 mL/min) and initial Cr(VI) concentration (50–250 ppm). The system achieved a maximum Cr(VI) sorption capacity of 98.35 mg/g with a removal efficiency of 85.08 % at 2 V, 30 mL/min flow rate, and 130 ppm initial concentration. The DCC-CDI demonstrated a specific energy consumption of 0.914 kWh/m³, offering a 1.4-fold reduction compared to a conventional single-chambered cuboidal CDI reactor. Furthermore, multicomponent heavy metal removal studies was performed and confirmed Cr(VI) selectivity in the presence of other heavy metals Ni(II), Cd(II), and As(III). This study showcases the potential of geometry driven CDI designs in advancing sustainable, energy-efficient solutions for heavy metal removal in wastewater treatment processes.</div></div>","PeriodicalId":10019,"journal":{"name":"Chemical Engineering Research & Design","volume":"220 ","pages":"Pages 635-651"},"PeriodicalIF":3.9,"publicationDate":"2025-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144748603","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Prediction of electricity demand in weakly interconnected power systems using an ensemble time series model with a Bayesian Optimization approach","authors":"Alexander Panales-Pérez ,&nbsp;Antonio Flores-Tlacuahuac ,&nbsp;Ilse María Hernández-Romero","doi":"10.1016/j.cherd.2025.07.022","DOIUrl":"10.1016/j.cherd.2025.07.022","url":null,"abstract":"<div><div>Accurate short-term electricity demand forecasting is essential for effective operational planning, especially in power systems with limited interconnection, constrained transmission infrastructure, and increasing shares of renewable generation. This study proposes an integrated framework that combines Bayesian Optimization (BO) with two-time series models, FB Prophet, and SARIMA, to enhance nodal-level forecast accuracy. BO is employed both for model-specific hyperparameter tuning and to determine optimal ensemble weights, enabling a data-driven and adaptive approach to demand prediction. The resulting forecasts are incorporated into a multi-objective dispatch optimization model that minimizes total operating costs and CO<span><math><msub><mrow></mrow><mrow><mn>2</mn></mrow></msub></math></span> emissions, creating a seamless pipeline from prediction to operational decision-making. The methodology is applied to Region 8 of the Mexican National Electric System (SEN), a region characterized by weak interconnection and operational constraints. Results indicate that the BO-optimized ensemble reduces the Mean Absolute Error (MAE) by up to 52% compared to individual models. When integrated into the dispatch framework, these forecasts support strategies that balance economic and environmental objectives. The proposed framework is generalizable and scalable, offering a valuable tool for data-driven planning in other weakly interconnected or renewable-intensive systems, with clear implications for supporting energy transition strategies under uncertainty.</div></div>","PeriodicalId":10019,"journal":{"name":"Chemical Engineering Research & Design","volume":"220 ","pages":"Pages 652-666"},"PeriodicalIF":3.9,"publicationDate":"2025-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144748604","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"A fusion model fault diagnosis scheme based on multibranch multiscale residual convolutional network with Transformer","authors":"Zongyu Yao,&nbsp;Qingchao Jiang,&nbsp;Xingsheng Gu","doi":"10.1016/j.cherd.2025.07.042","DOIUrl":"10.1016/j.cherd.2025.07.042","url":null,"abstract":"<div><div>Industrial process fault diagnosis is essential for ensuring system safety and stability, yet complex data characteristics and heterogeneous fault patterns pose significant challenges to traditional methods. This paper proposes a novel fusion model fault diagnosis scheme, the multibranch multiscale residual convolutional network with Transformer (MMRCN-TF), to address these challenges. Specifically, the model leverages a multibranch architecture to extract local features of individual functional units while retaining a global information branch for overall data patterns. Within each branch, the hierarchical multiscale features are extracted by multiscale residual convolutional, and the fault-relevant channels are strengthened with a hybrid channel attention mechanism while suppressing noisy channels. Subsequently, comprehensive feature characterization is achieved through multibranch multiscale feature fusion, while the Transformer enhances the representation of fusion features by modeling long-range cross-spatial and cross-channel global dependencies, enabling accurate recognition of intricate fault patterns. Additionally, label smoothing is employed to improve model robustness and generalizability. Case studies demonstrate that the proposed model superior performance and stability, offering an efficient and reliable solution for intelligent fault diagnosis in industrial systems.</div></div>","PeriodicalId":10019,"journal":{"name":"Chemical Engineering Research & Design","volume":"220 ","pages":"Pages 667-681"},"PeriodicalIF":3.9,"publicationDate":"2025-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144757571","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Distributionally robust joint chance-constrained programming for multi-objective optimization of utility systems","authors":"Liang Zhao,&nbsp;Jiyun Rong,&nbsp;Hanxiu Li,&nbsp;Jian Long,&nbsp;Chen Liang","doi":"10.1016/j.cherd.2025.07.039","DOIUrl":"10.1016/j.cherd.2025.07.039","url":null,"abstract":"<div><div>Increasing utility energy efficiency has received renewed attention as carbon neutrality has become a more prominent issue. Nevertheless, modeling and optimizing utility systems is still challenging due to the uncertainties of the energy demand of production processes. To minimize the operating costs and environmental impacts simultaneously, a multi-objective optimization framework was proposed. Life cycle assessments determine the environmental impacts. Energy consumption determines the operating costs of the utility system. In order to cope with steam demand uncertainty, an approach is proposed for DRJCC, which is a data-driven distributionally robust joint chance-constrained approach. As a part of the DRJCC framework, the data-driven ambiguity set is generated using Wasserstein distance, where Wasserstein distance comprises the empirical distribution. A deterministic convex reformulation of the problem can be derived using a dual representation of the worst-case probability. Case studies from industrial ethylene plants serve to verify the proposed method. With increasing confidence coefficients, the cost of the project and its environmental impact are reduced. We can also select optimal solutions flexibly with the Pareto frontier while minimizing the operational costs.</div></div>","PeriodicalId":10019,"journal":{"name":"Chemical Engineering Research & Design","volume":"220 ","pages":"Pages 623-634"},"PeriodicalIF":3.9,"publicationDate":"2025-07-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144723574","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Optimization of nitrogen doping via microwave irradiation for improved adsorptive performance of pomegranate peel-derived biochar","authors":"Derya MURAT ,&nbsp;İbrahim TEĞİN ,&nbsp;Cafer SAKA","doi":"10.1016/j.cherd.2025.07.040","DOIUrl":"10.1016/j.cherd.2025.07.040","url":null,"abstract":"<div><div>This study presents a novel strategy to enhance the adsorption performance of biochar derived from pomegranate peel waste through nitrogen doping facilitated by microwave irradiation. The raw biochar was first synthesized via pyrolysis and subsequently modified using nitric acid under controlled microwave-assisted conditions. Critical parameters, including microwave power, irradiation time, and acid concentration, were systematically optimized to achieve effective nitrogen incorporation. The microwave-assisted treatment not only accelerated the doping process but also promoted the development of a more porous structure and the introduction of abundant nitrogen- and oxygen-containing functional groups, which increase surface polarity and provide additional active sites for metal ion binding. The structural and surface properties of the nitrogen-doped biochar were comprehensively characterized by Brunauer–Emmett–Teller (BET) surface area analysis, Fourier-transform infrared spectroscopy (FTIR), scanning electron microscopy (SEM), and energy-dispersive X-ray spectroscopy (EDS). Batch adsorption experiments confirmed that these physicochemical enhancements significantly improved the affinity and selectivity for Cd(II) ions through mechanisms such as electrostatic interactions, complexation, and ion exchange. At 30 °C and an initial Cd(II) concentration of 100 ppm, the adsorption capacities of the raw biochar, nitric acid-treated biochar, and microwave-assisted nitrogen-doped biochar were determined to be 16.24 mg/g, 35.25 mg/g, and 42.82 mg/g, respectively, clearly demonstrating the synergistic effect of the combined modification. The adsorption behavior was further analyzed using kinetic and thermodynamic models to elucidate the underlying mechanisms. The nitrogen-doped biochar exhibited a notably enhanced maximum adsorption capacity of 106.84 mg/g for Cd(II), demonstrating that microwave-assisted nitrogen functionalization effectively tailors the biochar’s pore structure and surface chemistry, making it a sustainable, cost-effective, and efficient adsorbent for heavy metal remediation in wastewater treatment applications.</div></div>","PeriodicalId":10019,"journal":{"name":"Chemical Engineering Research & Design","volume":"220 ","pages":"Pages 566-576"},"PeriodicalIF":3.9,"publicationDate":"2025-07-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144721872","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"3D-CFD based optimization of a mixer-settler: Part I. development of a model for efficient pump-mixer system in mixer-settler","authors":"Ja-Ryoung Han,&nbsp;Hong In Kim,&nbsp;Hyun-Woo Shim,&nbsp;Jong-Won Choi,&nbsp;Jinyoung Je","doi":"10.1016/j.cherd.2025.07.037","DOIUrl":"10.1016/j.cherd.2025.07.037","url":null,"abstract":"<div><div>The increasing demand for critical minerals, which are essential for the transition to cleaner energy, has driven significant interest in solvent extraction as a key process for producing high-purity materials suitable for renewable energy production and storage systems. Among various solvent extraction technologies, the mixer-settler remains the most widely adopted method, facilitating efficient separation of valuable components through an integrated pump-mixer approach. However, the complex fluid dynamics of the pump-mixer system and its dependence on design parameters have limited comprehensive investigations. In this study, a high-fidelity, multiphase three-dimensional computational fluid dynamics model was developed for a pump-mixer system and rigorously validated against experimental data from a pilot-scale and multi-stage system, demonstrating its reliability across various fluid types and operating conditions. Utilizing the developed model, a parametric study was conducted across different mixer geometries, evaluating the effects of key design variables of pump-mixer. The findings reveal the trade-offs between pumping and mixing performance, leading to an optimal design strategy that enhances both aspects. Furthermore, the findings identify the flow phenomena influencing pumping and mixing performance, providing key insights into optimizing pump-mixer efficiency. These findings provide a quantitative and valuable insights for improving efficiency and sustainability in industrial solvent extraction processes.</div></div>","PeriodicalId":10019,"journal":{"name":"Chemical Engineering Research & Design","volume":"220 ","pages":"Pages 610-622"},"PeriodicalIF":3.9,"publicationDate":"2025-07-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144723572","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Experimental study on impact of viscosity on hydrodynamics in airlift reactor comprising viscous-Newtonian fluids","authors":"Nikesh Kumar ,&nbsp;Renu Gupta ,&nbsp;Ajay Bansal","doi":"10.1016/j.cherd.2025.07.038","DOIUrl":"10.1016/j.cherd.2025.07.038","url":null,"abstract":"<div><div>Airlift reactors are commonly utilized as multiphase contractors in a range of chemical and biochemical industries. Gas-phase holdup, regime transition, bubble diameter and liquid velocity are the important hydrodynamic parameters. Average bubble diameter is most important parameter and plays crucial role in the investigations of hydrodynamic parameters with highly viscous liquid-phase. Further, the viscosity of liquid-phase plays a crucial role in determining the shape of bubbles and the movement of the liquid-phase within both the riser and downcomer sections of airlift reactors. This, in turn significantly impacts the overall performance of the reactors. In this study, the impact of viscosity on hydrodynamic parameters has been elucidated by considering different concentrations of glycerol in the tap water (25–65 % v/v). Viscosity of the fluid shows negative impact on the gas-phase holdup and liquid velocity however, it shows positive impact on bubble diameter. Further, a transition in flow regime from homogeneous to heterogeneous, was observed at lower superficial gas velocity for viscous solutions compared to tap water. In this study, the correlation for gas-phase holdup has been developed by considering the average bubble diameter and key dimensionless numbers, including the Bond, Galilei and Froude numbers. The resulting correlation has been compared with both the current experimental data and existing correlations from the literature. It demonstrates a strong agreement and can be effectively used for the design and scale-up of airlift reactors.</div></div>","PeriodicalId":10019,"journal":{"name":"Chemical Engineering Research & Design","volume":"220 ","pages":"Pages 577-585"},"PeriodicalIF":3.9,"publicationDate":"2025-07-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144721948","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Study on prevention and control of open-air high-sulfur gas leakage based on combined device","authors":"Yanjie Yang ,&nbsp;Yueping Qin ,&nbsp;Qigen Deng","doi":"10.1016/j.cherd.2025.07.036","DOIUrl":"10.1016/j.cherd.2025.07.036","url":null,"abstract":"<div><div>High-sulfur gas leaks can pose serious health risks to workers and become one of the major safety hazards in the plant's operations. In this study, we investigated control measures and their effectiveness against hydrogen sulfide leakage by initially establishing a closed-space test system. Then, we evaluated the control characteristics of spray systems and barrier blocking. Ultimately, a combined prevention device, which integrated a spray system with a partition wall, was tested at the Puguang Gas Purification Plant. The results demonstrated that: (1) Alkali liquid sprayed through nozzles effectively absorbed H₂S, and the turbulence generated by spraying altered the direction of H₂S diffusion and diluted the gas concentration. (2) The combined device created a safe zone behind the partition wall through dual mechanisms of spray absorption and physical blocking. In the study of confined space, the average capture rate of hydrogen sulfide was 95 %. (3) Multiple preventive measures were required to mitigate leakage risks. This research provides technical guidance for managing H₂S leaks in open-air environments.</div></div>","PeriodicalId":10019,"journal":{"name":"Chemical Engineering Research & Design","volume":"220 ","pages":"Pages 586-595"},"PeriodicalIF":3.9,"publicationDate":"2025-07-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144721949","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Two-dimensional numerical simulation of electrochemical CO2 reduction reaction (eCO2RR) in a zero-gap electrolyzer","authors":"Ahmad Ijaz,&nbsp;SeyedSepehr Mostafayi,&nbsp;Javad Abbasian,&nbsp;Hamid Arastoopour","doi":"10.1016/j.cherd.2025.07.035","DOIUrl":"10.1016/j.cherd.2025.07.035","url":null,"abstract":"<div><div>A two-dimensional multiphysics multiphase numerical model was developed for a zero-gap electrolyzer to study the electrochemical CO₂ reduction reaction over a copper catalyst. Kinetic parameters for Cu catalyst were obtained from the H-Cell experimental data of Kuhl et al. and used in our two-dimensional zero-gap numerical model. Continuity, momentum, and charge balance equations were solved using the COMSOL Multiphysics code to investigate the spatial distribution of gas/liquid phase species concentration and local pH in flow channels, porous domains, and membrane. Our simulation results agreed well with the experimental data of Wang et al. In addition, our two-dimensional zero-gap numerical model results were compared with a one-dimensional zero-gap numerical model using the same copper catalyst kinetic parameters. It was observed that the one-dimensional zero-gap model predicts reasonably good current densities at lower cell voltages. Furthermore, the effect of electrolyte concentration was investigated for optimum zero-gap electrolyzer performance.</div></div>","PeriodicalId":10019,"journal":{"name":"Chemical Engineering Research & Design","volume":"220 ","pages":"Pages 596-609"},"PeriodicalIF":3.9,"publicationDate":"2025-07-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144723573","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}