Chemical Systems Dynamic Modeling and Simulation

A special issue of Processes (ISSN 2227-9717). This special issue belongs to the section "Chemical Processes and Systems".

Deadline for manuscript submissions: 15 October 2025 | Viewed by 402

Special Issue Editors

College of Information Science and Technology, Beijing University of Chemical Technology, Beijing 100029, China
Interests: process systems engineering; advanced process control; intelligent optimization; neural networks; reinforcement learning
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Guest Editor
College of Information Science and Technology, Beijing University of Chemical Technology, Beijing 100029, China
Interests: process systems engineering; process control; intelligent control; system modeling and optimization; process simulation

Special Issue Information

Dear Colleagues,

Dynamic modeling plays a crucial role in optimizing chemical production processes, improving energy efficiency and minimizing environmental impact. By simulating various scenarios and outcomes, researchers can identify optimal conditions for chemical reactions, thereby enhancing production yields, reducing waste, and conserving resources. This ability to predict and fine-tune chemical processes is especially critical in industries where efficiency and sustainability are paramount.

This Special Issue aims to compile the latest research advancements in the field of chemical systems dynamic modeling and simulation. It seeks to explore how these technologies can be leveraged to unravel the complex behaviors inherent in chemical systems. Contributions will discuss innovative methodologies, case studies, and applications that demonstrate the power of dynamic modeling in driving scientific progress and industrial innovation. By bringing together cutting-edge research, this issue will serve as a platform for knowledge exchange, fostering collaboration and inspiring future breakthroughs in the field of chemical systems dynamic modeling and simulation.

Dr. Yuan Yang
Dr. Xing Qian
Guest Editors

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Keywords

  • separation
  • process simulation
  • process modeling
  • process system engineering
  • process intensification
  • process design

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Published Papers (1 paper)

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Research

18 pages, 6611 KiB  
Article
Optimization of Thiourea-Promoted Gold and Silver Leaching from Pyrite Cinders Using Response Surface Methodology (RSM)
by Yerkezhan Abikak, Bagdaulet Kenzhaliev, Ata Akcil, Seydou Dembele, Aigul Koizhanova, Nauryzbek Bakhytuly and Gulzhaina Kassymova
Processes 2025, 13(5), 1277; https://doi.org/10.3390/pr13051277 - 22 Apr 2025
Abstract
The cyanidation of precious metals from ores and secondary resources has been classified as a hazardous process due to the release of toxic gases. The use of environmentally friendly and cost-effective processes is a suitable alternative to cyanidation. Thiourea leaching has been shown [...] Read more.
The cyanidation of precious metals from ores and secondary resources has been classified as a hazardous process due to the release of toxic gases. The use of environmentally friendly and cost-effective processes is a suitable alternative to cyanidation. Thiourea leaching has been shown to be one of the best alternative reagents to cyanide. The present work aims to evaluate the efficiency of the thiourea leaching of gold and silver from pretreated pyrite cinders. The use of pre-chemical activation prior to leaching helped to increase the amount of free gold and silver particles. A preliminary leaching test led to the selection of Fe2(SO4)3 as a suitable oxidizing agent for Au and Ag leaching. To select suitable leaching parameters, the response surface methodology (RSM) was used to optimize some parameters that can considerably affect sulfuric acid–thiourea leaching and identify the greatest interaction between them. The optimized parameters of 30 g/L thiourea, 10% pulp density, pH = 1, and 50 °C over 4 h of leaching time allowed for Au and Ag recoveries of 98.31 and 88.57%, respectively. Full article
(This article belongs to the Special Issue Chemical Systems Dynamic Modeling and Simulation)
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