Optimizing Large-Scale Inorganic Processes: Model-Based Digital Design of RH-DS Apparatus

被引:0
作者
Szczeblewski, Slawomir [1 ,2 ]
Wachowiak, Maciej [1 ]
Gebicki, Jacek [2 ]
机构
[1] Qemet Soda Polska, Soda Prod Dept, Fabryczna St 4, PL-88101 Inowroclaw, Poland
[2] Gdansk Univ Technol, Fac Chem, Dept Proc Engn & Chem Technol, G Narutowicza St 11-12, PL-80233 Gdansk, Poland
关键词
Industry; 4.0; digital twin; virtual mass and heat balance; soda ash production; RH-DS apparatus; energy transformation; ammonia recovery; gProms process; GENERALIZED PREDICTIVE CONTROL; OPTIMIZATION; SIMULATION; TWIN; TECHNOLOGY; OPERATION; SYSTEM; GPROMS;
D O I
10.3390/pr13010077
中图分类号
TQ [化学工业];
学科分类号
0817 ;
摘要
The design of industrial installations using digital design techniques (digital twin), aligned with the concept of Industry 4.0, provides a tool to optimize maintenance costs, process gas emissions, energy consumption and to reduce the risks associated with production testing. Modern manufacturing plants conduct chemical processes by combining production experience with model-based research. Analyzing processes using advanced digital techniques can replace traditional methods of technological process balancing. The methodology based on the digital twin already serves as a holistic system of process connections, supporting production, research and development, production planning, and quality control. This paper presents the digital design, optimization, and comparison of process data obtained through simulations for two different types of ammonia recovery units in soda ash production using the ammonia-soda process. Using specialized modeling software and relying on historical data, engineering assumptions, and new concepts, virtual models were created in which the material and thermal balances of the process were simulated. This research is divided into two stages. In the first stage, a model-based approach and model optimization techniques are presented, while in the second stage, the preparation of models of the distillation installation is presented, and the influence of various structural parameters of the equipment on the temperature profile and gas flow rate in the ammonia recovery section is discussed. The process of the research method, based on simulations in a virtual environment, allows for evaluating the implementation potential of the proposed concepts, optimizing process parameters, and redefining the approach to conducting chemical processes. A series of simulations conducted in studies on ammonia recovery indicated a potential increase in gaseous ammonia recovery by up to 14.09%, taking into account the type of distillation apparatus or the height of the packing section.
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页数:17
相关论文
共 58 条
[1]   TOWARDS A SYSTEM OF SYSTEMS CONCEPTS [J].
ACKOFF, RL .
MANAGEMENT SCIENCE SERIES A-THEORY, 1971, 17 (11) :661-671
[2]   Comparative Analysis of Platforms for Designing a Digital Twin [J].
Adamenko, Dmytro ;
Kunnen, Steffen ;
Nagarajah, Arun .
ADVANCES IN DESIGN, SIMULATION AND MANUFACTURING III: MANUFACTURING AND MATERIALS ENGINEERING, VOL 1, 2020, :3-12
[3]  
[Anonymous], 1958, Praca Zbiorowa, Technologia Sody
[4]  
[Anonymous], 1978, Praca Zbiorowa, Soda i Produkty Towarzyszce
[5]   Dynamic simulation and optimisation of tubular polymerisation reactors in gPROMS [J].
Asteasuain, M ;
Tonelli, SM ;
Brandolin, A ;
Bandoni, JA .
COMPUTERS & CHEMICAL ENGINEERING, 2001, 25 (4-6) :509-515
[6]   Modeling and optimization of a high-pressure ethylene polymerization reactor using gPROMS [J].
Asteasuain, Mariano ;
Brandolin, Adriana .
COMPUTERS & CHEMICAL ENGINEERING, 2008, 32 (03) :396-408
[7]   The industry use cases for the Digital Twin idea [J].
Augustine, Peter .
DIGITAL TWIN PARADIGM FOR SMARTER SYSTEMS AND ENVIRONMENTS: THE INDUSTRY USE CASES, 2020, 117 :79-105
[8]   General hybrid multizonal/CFD approach for bioreactor modeling [J].
Bezzo, F ;
Macchietto, S ;
Pantelides, CC .
AICHE JOURNAL, 2003, 49 (08) :2133-2148
[9]   A simultaneous approach for calibrating Rate Based Models of packed distillation columns based on multiple experiments [J].
Bonilla, J. ;
Logist, F. ;
Huyck, B. ;
Degreve, J. ;
De Moor, B. ;
Van Impe, J. .
CHEMICAL ENGINEERING SCIENCE, 2013, 104 :228-232
[10]  
Boschert S., 2016, Mechatronic futures, P59, DOI [10.1007/978-3-319-32156-15, DOI 10.1007/978-3-319-32156-1_5, 10.1007/978-3-319-32156-1]