Article
Thermodynamics
Eduardo Sanchez-Ramirez, Juan Jose Quiroz-Ramirez, Gabriel Contreras-Zarazua, Salvador Hernandez-Castro, Heriberto Alcocer-Garcia, Juan Gabriel Segovia-Hernandez
Summary: MEK is a promising bulk chemical with numerous applications, but its purification process faces challenges due to the formation of azeotropes. Therefore, a intensified process has been proposed to reduce the energy investment for MEK purification and replace traditional distillation methods. Comparison results showed that the intensified design performed excellently in terms of energy investment.
Article
Green & Sustainable Science & Technology
Hongru Zhang, Shuai Wang, Yasen Dai, Xiao Yang, Jiangang Zhao, Peizhe Cui, Zhaoyou Zhu, Yinglong Wang, Shiqing Zheng, Jun Gao
Summary: The study investigates the ammoximation of methyl ethyl ketone to methyl ethyl ketone oxime, with an economic evaluation resulting in a minimum annual total cost of 2.41 x 107 USD/yr. Through multi-objective optimization, the total annual cost increased to 2.55 x 107 USD/yr while reducing the exergy loss rate to 64%.
JOURNAL OF CLEANER PRODUCTION
(2021)
Article
Chemistry, Multidisciplinary
Yan-Quan Zhang, Chih-Hsiang Huang, Chao-Yuan Wu, Yao-Hsuan Tseng
Summary: The semiconductor industry's rapid growth has made significant progress in addressing clean energy concerns, but unresolved issues regarding waste solvents remain. Pyrolysis is a promising approach to tackle these challenges. This study selected waste methyl ethyl ketone (MEK) as the feedstock for pyrolysis, resulting in various residual products. Experimental results demonstrated the yield of fixed carbon, tar, and fuel gases under specific operating conditions. The research included lab-scale experiments and field-scale system studies to develop a comprehensive concept for a thermal cracking plant, incorporating software calculations and a scaled-up pyrolysis process.
APPLIED SCIENCES-BASEL
(2023)
Article
Computer Science, Artificial Intelligence
Ke-Jing Du, Jian-Yu Li, Hua Wang, Jun Zhang
Summary: Evolutionary multi-objective multi-task optimization is an emerging paradigm for solving multi-objective multi-task optimization problems using evolutionary computation. This paper proposes treating these problems as multi-objective multi-criteria optimization problems and develops an algorithm framework that utilizes the knowledge of all tasks in the same population. The algorithm selects fitness evaluation functions as criteria, guided by a probability-based selection strategy and an adaptive parameter learning method. Extensive experiments show the effectiveness and efficiency of the proposed algorithm. Treating MO-MTOP as MO-MCOP is a potential and promising direction for solving these problems.
COMPLEX & INTELLIGENT SYSTEMS
(2023)
Article
Environmental Sciences
Anna G. Zborowska, Ceara Y. MacInnis, Connie Z. Ye, Hans D. Osthoff
Summary: The methyl ethyl ketone photolysis branching ratio was re-evaluated through end product analysis and box model simulations. The experimental results indicated that the product distribution observed was consistent with current IUPAC recommendations under certain conditions.
ATMOSPHERIC ENVIRONMENT
(2021)
Article
Engineering, Multidisciplinary
Ali Hebbal, Mathieu Balesdent, Loic Brevault, Nouredine Melab, El-Ghazali Talbi
Summary: Bayesian Optimization is widely used in optimizing computationally intensive black-box functions. This paper proposes a Multi-Objective Bayesian Optimization algorithm based on Deep Gaussian Process to jointly model the objective functions and improve search space exploration and convergence speed.
OPTIMIZATION AND ENGINEERING
(2023)
Article
Engineering, Environmental
Chamanthi Denisha Jayaweera, Mahinsasa Narayana
Summary: By optimizing the temperature profile using neural network models and genetic algorithms, the study successfully maximized the molecular weight, shell thickness, and monomer conversion ratio of core-shell polymer particles, achieving the desired polymer properties.
CHEMICAL ENGINEERING JOURNAL
(2021)
Article
Engineering, Chemical
Wendi Xu, Xianpeng Wang, Qingxin Guo, Xiangman Song, Ren Zhao, Guodong Zhao, Yang Yang, Te Xu, Dakuo He
Summary: Single-objective to multi-objective/many-objective optimization is a new paradigm in evolutionary transfer optimization. Theoretical insights into this area are relatively rare, so we propose a study on the theoretical advances of multi-objective optimization based on a case study of a permutation flow shop scheduling problem.
Article
Chemistry, Multidisciplinary
Peter Sagmeister, Florian F. Ort, Clemens E. Jusner, Dominique Hebrault, Thomas Tampone, Frederic G. Buono, Jason D. Williams, C. Oliver Kappe
Summary: Autonomous flow reactors are increasingly used in the synthesis of organic compounds, but the complexity of chemical reactions and analytical methods remains limited. This study presents a modular platform that combines rapid flow NMR and FTIR measurements with chemometric modeling for efficient and timely analysis of reaction outcomes. The platform is tested in two different reactions and achieves excellent results in a relatively small number of iterations.
Article
Computer Science, Artificial Intelligence
Zhichao Li, Li Tian, Xuefeng Yan
Summary: In this paper, a multi-objective optimization based deep feature multi-subspace partitioning method is proposed for process monitoring. By establishing a deep neural network (DNN) model based on normal data, deep features that can represent process information are extracted, and a multi-level information representation vector is formed by combining the residual with the deep features. The optimal multi-subspace partition can be solved through a multi-objective optimization algorithm and validation data, and the detection results of multiple subspaces are integrated through a fusion strategy to achieve process monitoring.
EXPERT SYSTEMS WITH APPLICATIONS
(2023)
Article
Materials Science, Multidisciplinary
Rita de Cassia Costa Dias, Lizandro de Sousa Santos
Summary: This study employed a computational strategy to optimize a pultrusion process, using mass and energy balance equations and implemented into Ansys CFX and Matlab tools. Single objective optimization focused on the sum of heaters' temperatures, while multi-objective optimization aimed at pull speed maximization and minimization of heaters' temperatures. The results showed that the SQP method outperformed the PSO algorithm in terms of reducing the objective function and computational cost. Additionally, the NSGA-II algorithm was faster than the PSO strategy for multi-objective optimization, and both methods' Pareto curves revealed the trade-off between pull speed and energy consumption. The Pareto curve was also useful for predicting optimal points and identifying infeasible combinations of temperature and pull speed values.
MATERIALS TODAY COMMUNICATIONS
(2023)
Article
Engineering, Environmental
Ahmed Khadim Johni, Elham Omidbakhshamiri
Summary: This study simulated a sulfur recovery unit using Aspen HYSYS and conducted environmental, energy, and economic analyses. Through sensitivity analysis and the Genetic Algorithm method, single and multi-objective optimizations were achieved, with feed molar flow rate and combustion air temperature variables having the most significant impact on the optimal results.
JOURNAL OF ENVIRONMENTAL CHEMICAL ENGINEERING
(2023)
Article
Engineering, Environmental
Zi Lin, Lin-Quan Gong, Jing-Jing Xu, Jia-Jia Jiang, Jun-Cheng Jiang
Summary: This paper proposes a multi-objective optimization method for the layout design of chemical process plants, aiming to achieve a trade-off between economy and safety. The economic objective is evaluated by considering the total capital cost, while the safety objective is evaluated by the Comprehensive Inherent Safety Index (CISI). The proposed method is applied to optimize the layout of an acrylic acid production plant using the non-dominated sorting genetic algorithm II (NSGA-II). The results show a clear trade-off between economic and safety objectives according to the Pareto curve.
PROCESS SAFETY AND ENVIRONMENTAL PROTECTION
(2023)
Article
Thermodynamics
Ju-Eon Bae, Supaporn Wilailak, Jae-Hyeon Yang, Dong-Yeol Yun, Umer Zahid, Chul-Jin Lee
Summary: This study focuses on the energy density of liquid hydrogen and CO2 emissions in the production process. Through optimization and cost analysis, the optimal performance that balances cost and CO2 emissions in liquid hydrogen production was identified.
ENERGY CONVERSION AND MANAGEMENT
(2021)
Article
Engineering, Environmental
Jae Won Lee, Sarang S. Bhagwat, Nurzhan Kuanyshev, Young B. Cho, Liang Sun, Ye-Gi Lee, Yoel R. Cortes-Pena, Yalin Li, Christopher V. Rao, Jeremy S. Guest, Yong-Su Jin
Summary: This study developed an engineered yeast capable of producing 2,3-butanediol from glucose without accumulating ethanol and glycerol, and demonstrated the feasibility of cost-competitive and sustainable bio-based MEK production via yeast fermentation through techno-economic analysis and life cycle assessment. The study also found that the fermentation broth containing 2,3-BDO can induce drought tolerance in plants.
CHEMICAL ENGINEERING JOURNAL
(2023)
Article
Energy & Fuels
Gabriel Contreras-Zarazua, Miriam E. Jasso-Villegas, Cesar Ramirez-Marquez, Eduardo Sanchez-Ramirez, Jose Antonio Vazquez-Castillo, Juan Gabriel Segovia-Hernandez
Summary: This study tested different intensified alternatives to determine the best purification process for furfural, with results indicating a reduction of around 25% in total annual cost and environmental impact, and an improvement of around 4% in the risk index. An indirect intensified alternative was ultimately chosen as the best option due to improvements in cost, environmental impact, important risks reduction, and similar control properties to conventional schemes.
CHEMICAL ENGINEERING AND PROCESSING-PROCESS INTENSIFICATION
(2021)
Review
Energy & Fuels
Juan Gabriel Segovia-Hernandez, Salvador Hernandez, Eduardo Sanchez-Ramirez, Jesus Mendoza-Pedroza
Summary: Professor Jimenez and his research group have been pioneers in the study of dividing wall columns, making significant contributions to the design, optimization, and control of DWC for ternary and multicomponent separations, as well as extractive, reactive and azeotmpic cases. Their work has led to the implementation of the first experimental dividing wall distillation column in Latin America, showcasing the impact of their research on a national and international level.
CHEMICAL ENGINEERING AND PROCESSING-PROCESS INTENSIFICATION
(2021)
Article
Engineering, Environmental
Jacqueline Bravo-Garcia, Brenda Huerta-Rosas, Eduardo Sanchez-Ramirez, Juan Gabriel Segovia-Hernandez
Summary: The study introduces distillation intensified alternatives for the recovery of nylon industry effluents, evaluating their sustainability using various metrics. Techniques such as thermal coupling, column section movement, and column section elimination are involved, resulting in the identification of a balanced process with significant improvements in energy requirements and sustainability indicators.
PROCESS SAFETY AND ENVIRONMENTAL PROTECTION
(2021)
Article
Thermodynamics
Eduardo Sanchez-Ramirez, Juan Jose Quiroz-Ramirez, Gabriel Contreras-Zarazua, Salvador Hernandez-Castro, Heriberto Alcocer-Garcia, Juan Gabriel Segovia-Hernandez
Summary: MEK is a promising bulk chemical with numerous applications, but its purification process faces challenges due to the formation of azeotropes. Therefore, a intensified process has been proposed to reduce the energy investment for MEK purification and replace traditional distillation methods. Comparison results showed that the intensified design performed excellently in terms of energy investment.
Article
Engineering, Chemical
Eduardo Sanchez-Ramirez, Juan Gabriel Segovia-Hernandez, Nicklas Leander Lund, Tiago Pinto, Isuru A. Udugama, Helena Junicke, Seyed Soheil Mansouri
Summary: As environmental demands and potential crude oil shortages drive interest in biomass conversion, butanol has emerged as a promising biofuel alternative due to its physicochemical characteristics. However, challenges in butanol production from fermentation and separation processes remain, with researchers proposing purification schemes using pervaporation, pressure swing distillation, and azeotropic distillation. Pervaporation shows promising results in reducing environmental impact and costs compared to other purification methods.
INDUSTRIAL & ENGINEERING CHEMISTRY RESEARCH
(2021)
Article
Energy & Fuels
Jose de Jesus Mendoza-Pedroza, Eduardo Sanchez-Ramirez, Juan Gabriel Segovia-Hernandez, Salvador Hernandez, Alvaro Orjuela
Summary: The novel distillation scheme using a dividing wall column to purify isoamyl alcohol from other fusel alcohols is more energy-efficient and offers significant cost savings compared with the conventional scheme.
CHEMICAL ENGINEERING AND PROCESSING-PROCESS INTENSIFICATION
(2021)
Article
Engineering, Chemical
Ana Gabriela Romero-Garcia, Carolina Mora-Morales, Juan Pablo Chargoy-Amador, Nelly Ramirez-Corona, Eduardo Sanchez-Ramirez, Juan Gabriel Segovia-Hernandez
Summary: This study evaluated the environmental impact of coupling an optimized CO2 capture plant to an electric power generation plant, considering different fuels and operating scenarios. The results showed that biogas was the best option for capture in the scenario with a constant fuel flow, while non-associated gas was the most promising alternative in the scenario with constant energy demand.
CHEMICAL ENGINEERING RESEARCH & DESIGN
(2022)
Article
Computer Science, Interdisciplinary Applications
Heriberto Alcocer-Garcia, Juan G. Segovia-Hernandez, Eduardo Sanchez-Ramirez, Philip Tominac, Victor M. Zavala
Summary: The combustion of residual biomass creates environmental hazards and wastes economic opportunities. Producing specialty chemicals from this biomass offers a more attractive disposal option. Coordinating markets for recovering products from waste is essential for generating economic benefits for stakeholders in the supply chain.
COMPUTERS & CHEMICAL ENGINEERING
(2022)
Article
Engineering, Chemical
Jonathan M. Amezquita-Ortiz, Heriberto Alcocer-Garcia, Gabriel Contreras-Zarazua, Javier Fontalvo, Juan G. Segovia-Hernandez
Summary: The purification of acetone is a critical stage in its production process requiring a large amount of energy. Research suggests that in systems with interconnection flows, the magnitudes of these flows have a direct impact on energy consumption, with lower values leading to reductions while higher values have a negative impact. Intensified systems show improved control properties compared to conventional designs, with the thermally coupled system achieving the best results in terms of energy savings and CO2 emission reduction.
INDUSTRIAL & ENGINEERING CHEMISTRY RESEARCH
(2022)
Article
Engineering, Chemical
Jose Luis Solis-Sanchez, Heriberto Alcocer-Garcia, Eduardo Sanchez-Ramirez, Juan Gabriel Segovia-Hernandez
Summary: Levulinic acid, one of the top chemicals from biomass in terms of market potential, can be obtained through acid hydrolysis of glucose. Reactive distillation is a process intensification technique that combines chemical reaction and distillation in a single equipment, resulting in reduced capital cost, energy consumption, and environmental impact. This work aims to implement reactive distillation for the production of Levulinic acid, achieving higher conversion and cost savings compared to conventional reactors.
CHEMICAL ENGINEERING RESEARCH & DESIGN
(2022)
Article
Energy & Fuels
Ana Gabriela Romero-Garcia, Nelly Ramirez-Corona, Eduardo Sanchez-Ramirez, Heriberto Alcocer-Garcia, Cataldo De Blasio, Juan Gabriel Segovia-Hernandez
Summary: This study presents the optimization of a CO2 capture and storage plant design using a stochastic algorithm to reduce environmental impact and maximize return on investment. The results indicate that the design with natural gas combustion performs the best overall.
CHEMICAL ENGINEERING AND PROCESSING-PROCESS INTENSIFICATION
(2022)
Article
Engineering, Chemical
Adrian Martinez-Lomovskoi, Ana Gabriela Romero-Garcia, Eduardo Sanchez-Ramirez, Juan Gabriel Segovia-Hernandez
Summary: A novel post-combustion carbon capture plant is designed using a green solvent called deep eutectic solvent (DES) in order to reduce environmental impact. The study analyzed different fuel types and found that the PCC process for coal-based power generation performed the best. The use of DES resulted in a 171.8% reduction in environmental impact compared to the traditional MEA-based process, although it required slightly higher energy consumption.
CHEMICAL ENGINEERING RESEARCH & DESIGN
(2023)
Article
Energy & Fuels
Laura L. Trinkies, Marlene Crone, Michael Tuerk, Manfred Kraut, Roland Dittmeyer
Summary: In this study, mono- and bimetallic Pd and Pt catalysts were deposited via supercritical fluid reactive deposition (SFRD) on TiO2 coated additively manufactured substrates. The focus of this work was to evaluate the suitability of these catalysts for the direct synthesis of H2O2 in the liquid phase. The results showed that all catalysts exhibited high activity and productivity, with PdPt bimetallic catalysts showing the highest productivity and an increase in Pd loading leading to a decrease in productivity. Comparison with literature data demonstrated the high suitability of the SFRD method for the proposed application, with the added benefits of simplicity and environmental friendliness in catalyst production.
CHEMICAL ENGINEERING AND PROCESSING-PROCESS INTENSIFICATION
(2024)
Article
Energy & Fuels
Xiongbao Hu, Zuguo Shen, Yu Wang
Summary: It is impossible to control the outer wall temperature of the micro-combustor below the maximum allowable temperature of commercial thermoelectric generators simply through increasing the equivalent heat transfer coefficient. Three simple strategies were developed to improve temperature uniformity, yet none of them could ensure full temperature control.
CHEMICAL ENGINEERING AND PROCESSING-PROCESS INTENSIFICATION
(2024)
