Article
Chemistry, Physical
Kathirvel Brindhadevi, Rajasree Shanmuganathan, Arivalagan Pugazhendhi, P. Gunasekar, S. Manigandan
Summary: This study demonstrates a numerical approach to predicting biohydrogen and biogas production in horizontal and vertical continuous mixed tank reactors. It found that impeller speed has a significant impact on production rates, while the optimal ranges of HRT and pH are crucial factors.
INTERNATIONAL JOURNAL OF HYDROGEN ENERGY
(2021)
Article
Environmental Sciences
Francesco Bianco, Marco Race, Stefano Papirio, Giovanni Esposito
Summary: The widespread presence of polycyclic aromatic hydrocarbons (PAHs) in marine sediments has ecological and human health implications. Sediment washing (SW) has been found to be an effective remediation approach for PAH-polluted sediments, but concerns about waste handling remain. This study investigated the biological treatment of a synthetic PAH-polluted SW solution using a continuous-flow stirred-tank reactor. The results showed that a PHE removal efficiency of up to 75-94% was achieved, mainly through biodegradation by a PHE-degrading consortium composed of Proteobacteria, Bacteroidota, and Firmicutes phyla.
ENVIRONMENTAL RESEARCH
(2023)
Article
Agricultural Engineering
Ziqi Xu, Hairong Yuan, Xiujin Li
Summary: This study found that using longer hydraulic retention time and higher load in anaerobic bioconversion of rice straw can lead to increased biogas and methane production. Systems with different HRTs and loads have impacts on microbial richness, diversity, and bacterial and archaeal community compositions, thus affecting bioconversion efficiencies.
BIORESOURCE TECHNOLOGY
(2021)
Article
Engineering, Chemical
Leone Mazzeo, Antonella Signorini, Giuseppe Lembo, Irene Bavasso, Luca Di Palma, Vincenzo Piemonte
Summary: In this study, a novel configuration of BM digester, the Gas Stirred Tank Reactor (GSTR) filled with random packing, was modeled to explore the working principle of in situ Bio-Methanation. The research found that the mass transfer coefficient is the limiting step of the process, as indicated by a dimensionless analysis involving Stanton (St) and beta numbers.
Article
Chemistry, Applied
Daniel Francis, A. John Blacker, Nikil Kapur, Stephen P. Marsden
Summary: The new modular photochemical continuous stirred-tank reactor (CSTR) design utilizes light-source units developed for the fReactor CSTR platform, making it suitable for both homogeneous and multiphasic reactions. By using slurries as input feeds, the system intensifies photochemical brominations, and its modular nature facilitates the integration of downstream reaction steps.
ORGANIC PROCESS RESEARCH & DEVELOPMENT
(2022)
Article
Biotechnology & Applied Microbiology
Carolina Benevenuti, Marcelle Branco, Mariana do Nascimento-Correa, Alanna Botelho, Tatiana Ferreira, Priscilla Amaral
Summary: Adding Tween(R)80 in the culture medium can significantly increase ethanol and biomass production in syngas fermentation, offering a promising approach to enhance gas-liquid mass transfer and improve biofuel productivity.
FERMENTATION-BASEL
(2021)
Article
Chemistry, Physical
Veronica L. Martinez, Gabriel L. Salierno, Rodrigo E. Garcia, Maria Jose Lavorante, Miguel A. Galvagno, Miryan C. Cassanello
Summary: In this study, a model was developed to estimate the lag phase time, hydrogen production efficiency, and kinetics in dark fermentation. The model relied on growing bacteria in defined culture media, monitoring the pH, and using the acid-base species mass balance. The results showed that the pH curve could accurately predict the amount of produced hydrogen and estimate the parameters of the modified Gompertz model.
Article
Biotechnology & Applied Microbiology
Benjaporn Sriputorn, Pattana Laopaiboon, Niphaphat Phukoetphim, Nawapol Uppatcha, Witchuta Phuphalai, Lakkana Laopaiboon
Summary: Optimal conditions for ethanol production from sweet sorghum stem juice by Saccharomyces cerevisiae SSJ01KKU were explored, yielding an average ethanol concentration of 120.96 g/L and ethanol productivity of 2.52 g/L.h. The repeated-batch ethanol fermentation in the system showed that at least eight cycles could be operated successfully, with significantly higher total ethanol production rate in the larger volume batch.
JOURNAL OF BIOTECHNOLOGY
(2021)
Article
Computer Science, Artificial Intelligence
Gongming Wang, Qing-Shan Jia, Junfei Qiao, Jing Bi, MengChu Zhou
Summary: This work introduces a deep learning-based model predictive control (DeepMPC) for modeling and controlling a continuous stirred-tank reactor (CSTR) system. DeepMPC achieves high performance in system identification and control through automatic determination of size and quadratic optimization.
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS
(2021)
Article
Green & Sustainable Science & Technology
Hao Jiang, Wenchuan Hao, Yeqing Li, Hongjun Zhou
Summary: Biological methanation process is beneficial for upgrading anaerobic digestion, efficient utilization of surplus electricity and H-2, energy storage and peak regulation, as well as CO2 emission reduction. Continuous stirred tank reactor (CSTR) is an economical and convenient method for methanation. The study found that the reactor could run stably at a pH around 8.5, and CO2 flow was adjusted for pH control. Different stages of the process showed significant succession in the microbial community.
JOURNAL OF CLEANER PRODUCTION
(2022)
Article
Engineering, Chemical
J. N. Delbridge, T. A. Barrett, A. Ducci, M. Micheletti
Summary: This study investigated the microcarrier suspension performance and flow fields in a scale-down mimic of Allegro STR single-use bioreactor range compared to a standard cylindrical configuration. It was found that the down-pumping mode in the A-STR achieved homogeneous suspension at a considerably lower power input compared to other configurations. Flow structures at the just-suspended condition were similar to those in the turbulent regime. Baffles significantly reduced the power input required for suspension, except for the A-STR (DP) configuration.
CHEMICAL ENGINEERING RESEARCH & DESIGN
(2023)
Article
Mathematics, Applied
Shi Liu, Song Chen, Tehuan Chen, Zhigang Ren
Summary: This paper proposes a residual neural network-based observer for CSTR systems, which can quickly and accurately observe the state changes during the CSTR reaction.
COMMUNICATIONS IN NONLINEAR SCIENCE AND NUMERICAL SIMULATION
(2024)
Article
Green & Sustainable Science & Technology
Isabella Pecorini, Elena Rossi, Simone Becarelli, Francesco Baldi, Simona Di Gregorio, Renato Iannelli
Summary: Dark fermentation is a simple method for hydrogen production using various organic wastes as feedstock. This study optimized the methane yield by reducing the hydraulic retention time in a two-stage reactor system. Functional inference and microbial community analysis were conducted to understand the changes in each reactor stage. The results showed an overall increase in biogas production and improvement in gas quality.
Article
Engineering, Environmental
S. S. Hoseini, G. Najafi, B. Ghobadian, A. H. Akbarzadeh
Summary: This study investigates the importance of mixing in the chemical industry and proposes a computational framework for optimizing power consumption and impeller stress in stirred-tank reactors. By using Computational Fluid Dynamic (CFD) analysis, the study examines three types of impellers and utilizes Multi-objective Genetic Algorithm (MOGA) to optimize the geometrical parameters of the blades. The results show a decrease in power consumption with V- and U-shape impellers compared to the 6-blade Rushton turbine, and indicate differences in turbulent kinetic energy and stress distribution among different impeller designs.
CHEMICAL ENGINEERING JOURNAL
(2021)
Article
Computer Science, Interdisciplinary Applications
Hugo A. Pipino, Carlos A. Cappelletti, Eduardo J. Adam
Summary: This study investigates the design of a Model Predictive Control (MPC) formulation for polytopic multi-model system representation and applies it to a continuous stirred tank reactor (CSTR) system. The proposed method uses a virtual model-process tuning variable and optimizes the Linear Time Invariant (LTI) prediction sequence based on the LTI vertices of the polytopic system. Discussions are made on the a-priori design procedure, online computational effort, and application difficulties.
COMPUTERS & CHEMICAL ENGINEERING
(2021)