Rui Wang, Lili Ma, Yukui Ren, Hang Zhao, Li Zhou, Lei Luo, Xu Ji, Ge He
{"title":"Compact Temporal Causal Algorithm for Modeling Prediction in the Green Ammonia Production Process","authors":"Rui Wang, Lili Ma, Yukui Ren, Hang Zhao, Li Zhou, Lei Luo, Xu Ji, Ge He","doi":"10.1002/ceat.70016","DOIUrl":"https://doi.org/10.1002/ceat.70016","url":null,"abstract":"<p>Because of the complexity of green ammonia production, identifying useful information from massive data to construct a streamlined and interpretable prediction model is a challenge. This paper proposed an improved transfer entropy method and enhanced the model in capturing causal relationships between variables. Furthermore, a compact temporal causal identification algorithm was introduced, combining transfer entropy and direct causal identification. This algorithm integrates the advantages of both methods, enabling rapid identification of clear causal pathways in high-dimensional variable spaces. In industrial validation of the actual green ammonia process, the average number of predictive variables based on compact temporal-dependent variables and temporal Markov blankets were 3.341 and 10.171, respectively, yielding average prediction accuracies (<i>R</i><sup>2</sup>) of 0.887 and 0.905. The method proposed provides new solutions for modeling prediction in green ammonia processes.</p>","PeriodicalId":10083,"journal":{"name":"Chemical Engineering & Technology","volume":"48 5","pages":""},"PeriodicalIF":1.8,"publicationDate":"2025-04-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143930406","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}
Kaila C. Alcantara, Kristine V. Lucido, Kirk Hubert R. Mabilangan, Rhea May Lourene V. Magsino, Assoc. Prof. Anita P. Aquino, Assoc. Prof. Reygan H. Sangalang, Dr. Reymark D. Maalihan
{"title":"Copper Removal with Zeolite/Polylactic Acid Beads: Neural Networks and Fixed-Bed Column Insights","authors":"Kaila C. Alcantara, Kristine V. Lucido, Kirk Hubert R. Mabilangan, Rhea May Lourene V. Magsino, Assoc. Prof. Anita P. Aquino, Assoc. Prof. Reygan H. Sangalang, Dr. Reymark D. Maalihan","doi":"10.1002/ceat.70024","DOIUrl":"https://doi.org/10.1002/ceat.70024","url":null,"abstract":"<p>In this study, we evaluate the adsorption efficiency of Philippine natural zeolite/polylactic acid (PNZ/PLA) composite beads for copper removal in fixed-bed columns. The beads were synthesized via alginate cross-linking and characterized for structural, thermal, and adsorption properties. Fourier-transform infrared (FTIR) spectroscopy confirmed polymer–zeolite interactions and Cu<sup>2+</sup> coordination, whereas thermogravimetric analysis (TGA) and X-ray diffraction (XRD) indicated improved thermal stability and zeolite modifications. Scanning electron microscopy (SEM)–X-ray spectroscopy (EDX) verified Cu<sup>2+</sup> uptake and reduced porosity. Response surface methodology (RSM) optimization predicted high removal efficiency, validated experimentally. Breakthrough modeling confirmed mass transfer–controlled adsorption, and artificial neural network (ANN) provided superior predictive accuracy. Reusability tests showed sustained adsorption, highlighting our beads’ potential for wastewater treatment.</p>","PeriodicalId":10083,"journal":{"name":"Chemical Engineering & Technology","volume":"48 5","pages":""},"PeriodicalIF":1.8,"publicationDate":"2025-04-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143930264","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}
{"title":"A Technical Analysis of Biofuel Production from Dairy Waste Sludge for Sustainable Environment","authors":"Rohit Pathak, Sandeep Singh, Inderpreet Singh Ahuja","doi":"10.1002/ceat.70021","DOIUrl":"https://doi.org/10.1002/ceat.70021","url":null,"abstract":"<p>Ensuring a clean and secure environment has consistently presented a difficulty for researchers worldwide. In order to accomplish this objective, attention has been drawn to biofuels. The current study investigates the synthesis of biodiesel from stimulated composite sludge. A transesterification method was developed by examining the effects of process variables including preheating temperature, reaction time, methanol-to-oil ratio and catalyst concentration in order to estimate the lowest feasible viscosity and maximum ester recovery. The optimum kinematic viscosity (3.4 cSt) with ester recovery (78.93 %) was obtained by preheating dairy waste sludge at a 5:1 molar ratio to 40 °C and keeping that temperature for 40 min in the existence of 1 % KOH. These findings were based on the measurements of biofuel recovery and kinematic viscosity.</p>","PeriodicalId":10083,"journal":{"name":"Chemical Engineering & Technology","volume":"48 5","pages":""},"PeriodicalIF":1.8,"publicationDate":"2025-04-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143930541","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}
Zhang Liangliang, Cai Yulin, Dr. Han Qiao, He Jing, Prof. Dr. Sun Na
{"title":"Pore Size Effects over Hierarchical Pore Hβ via Two-Stage Crystallization in Benzene Hydroalkylation","authors":"Zhang Liangliang, Cai Yulin, Dr. Han Qiao, He Jing, Prof. Dr. Sun Na","doi":"10.1002/ceat.70023","DOIUrl":"https://doi.org/10.1002/ceat.70023","url":null,"abstract":"<p>Hierarchical pore Hβ molecular sieve with high crystallinity were synthesized by two-step hydrothermal crystallization and seed-assisted, indicating that the method was more favorable to synthesize the hierarchical pore structure, and seed-assisted was helpful to improve the relative crystallinity and acid properties of Hβ. Compared with microporous Hβ, the hierarchical pore Hβ synthesized by a two-step hydrothermal crystallization strategy were presented high performance of benzene hydroalkylation. The conversion of benzene was 54.69 %, selectivity for cyclohexylbenzene was 74.31 %, and the catalyst activities was relatively stable within 280 h under hydrogen pressure of 2 MPa, temperature of 473 K, liquid space speed of 1 h<sup>−1</sup>, and H<sub>2</sub>/benzene molar ratio of 0.8 over Hβ loading 0.2 % (wt.%) Ru. Furthermore, the mesoporous structure of sample was beneficial to improve the diffusion rate of reactants and products and exposed more acidic active centers, which was conducive to the efficient hydroalkylation.</p>","PeriodicalId":10083,"journal":{"name":"Chemical Engineering & Technology","volume":"48 5","pages":""},"PeriodicalIF":1.8,"publicationDate":"2025-04-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143930535","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}
{"title":"Green Synthesis of Fe3O4-Crataegus tanacetifolia (Lam.) Biochar Magnetic Nanocomposites for Adsorption of Naproxen","authors":"Alper Solmaz, Talip Turna, Ayşe Baran","doi":"10.1002/ceat.70019","DOIUrl":"https://doi.org/10.1002/ceat.70019","url":null,"abstract":"<p>In this study, naproxen (NPX), one of the emerging contaminants was removed by green synthesizing Fe<sub>3</sub>O<sub>4</sub> coated magnetic biochar nanocomposites (<i>Ct</i>-BMNCs) synthesized from <i>Crataegus tanacetifolia</i> Lam. (<i>Ct</i>) wastes. The characteristics of <i>Ct</i>-BMNCs was examined by x-ray diffraction (XRD), scanning electron microscopy (SEM), energy dispersive x-ray (EDX), Fourier transform infrared spectroscopy (FTIR), thermogravimetry-differential thermal analysis (TGA-DTA), dynamic light scattering (DLS), zetasizer, Brunauer-Emmett-Teller (BET) UV–Vis spectroscopy, and pH point of zero charge (pH<sub>pzc</sub>). With batch adsorption tests, the effects of pH (4–11), amount of adsorbent (2.5–80 g L<sup>−1</sup>), time, and initial concentration (3.125–200 mg L<sup>−1</sup>), and thermodynamic analysis was performed. Also, kinetic and isotherm models and error functions were used. Accordingly, the pH<sub>pzc</sub> and average surface charge were 5.68 and +11.7 mV, respectively. Moreover, the reaction was exothermic, and the most suitable models were Pseudo-second-order and Freundlich (<i>R</i><sup>2</sup>:0.999). Also, <i>q</i><sub>max</sub> was 30.12 mgNPX/g<i>Ct</i>-BMNCs. Accordingly, Ct-BMNCs are quite effective in removing NPX.</p>","PeriodicalId":10083,"journal":{"name":"Chemical Engineering & Technology","volume":"48 5","pages":""},"PeriodicalIF":1.8,"publicationDate":"2025-04-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143930537","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}
{"title":"Dense Coconut Oil-in-Water (CO-Water) Emulsification via a Vortex-Based Cavitation Device","authors":"Mukesh Upadhyay, Vivek V. Ranade","doi":"10.1002/ceat.70015","DOIUrl":"https://doi.org/10.1002/ceat.70015","url":null,"abstract":"<p>In this study, a vortex-based hydrodynamic cavitation (HC) device was used to produce coconut oil-in-water (CO-water) emulsions. Emulsions were produced at 200 kPa and 25 °C with coconut oil (CO) volume fractions (α<sub><i>o</i></sub>) of 0.15, 0.30, 0.45, and 0.60. The influence of the CO volume fraction on the droplet size distribution (DSD), Sauter mean diameter (<i>d</i><sub>32</sub>), other characteristic diameters, and droplet breakage efficiency (<i>η</i>) was investigated. To examine the influence of dispersed-phase properties, the DSD profiles of CO-water were compared with rapeseed oil-in-water (RO-water) emulsions. This study validates the application of a turbidity-based method for estimating droplet size (<i>d</i><sub>32</sub>) in CO-water emulsions, demonstrating its potential for real-time process monitoring.</p>","PeriodicalId":10083,"journal":{"name":"Chemical Engineering & Technology","volume":"48 5","pages":""},"PeriodicalIF":1.8,"publicationDate":"2025-04-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/ceat.70015","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143930540","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}