scholarly journals Development of a simulation model of energy-saving system based on CCGT-110 and ABСM for energy and thermodynamic analysis

2021 ◽  
Vol 48 (3) ◽  
pp. 6-15
Author(s):  
L. V. Galimova ◽  
D. Z. Bayramov
Keyword(s):  
Simulation Model ◽  
Energy Saving ◽  
Thermodynamic Analysis ◽  
Simulation Modeling ◽  
Nonlinear Approximation ◽  
C Programming Language ◽  
Wide Range ◽  
C Programming ◽  
Scale Experiment ◽  
Manual Calculation

Objectives. Simulation modeling is increasingly being used for the study of complex economic, technical, biological, etc. systems. Such systems are characterized by multifactorial relationships of their functioning, nonlinear dependencies between system elements and stochasticity of their parameters, etc. The purpose of this work is to develop a simulation model based on the C# programming language for the energy-saving CCGT-110 and ABCM system based on the results of manual analysis according to the data of a full-scale experiment.Method. Methods of linear and nonlinear approximation, methods of energy and thermodynamic analysis, as well as methods of mathematical simulation modeling are used to develop the simulation model.Result.The result of this work is the developed software SAESS 3.0, which allows you to analyze the operation of the CCGT-110 and ABCM systems together and  separately  in  a  wide  range  of  parameters  and  in  real  time.  Conclusion.To  assess  the adequacy of the developed program, a comparative analysis of software and manual calculation was carried out. Deviations do not exceed an average of 3 %, which confirms the reliability of the simulation model.

Theory, methodology and practice of regional strategic planning

2021 ◽  
Author(s):  
Ol'ga Babina
Keyword(s):  
Strategic Planning ◽  
Simulation Model ◽  
Simulation Modeling ◽  
Economic Agents ◽  
Modeling Technology ◽  
Wide Range ◽  
Regional Strategic Planning ◽  
Planning Processes ◽  
Rational Management

In the monograph, the region is presented as a complex, multilevel socio-economic system consisting of many heterogeneous, interacting economic entities of different levels (economic agents and markets, management, resources and economic processes), jointly organizing reproduction processes embedded in the economic space of the national economy on the local territory. Currently, the role of rational management of the socio-economic development of the region is increasing. In such conditions, it is advisable to use strategic planning, which, in turn, has increasingly been carried out using a simulation model. The simulation model in regional strategic planning allows government agencies to predict their activities in the presence of various controlled and uncontrolled factors of the external and internal environment. In this study, the list of principles of strategic planning focused on the processes of strategic planning of the region using the method of simulation modeling is supplemented. A methodology for organizing strategic planning processes at the meso-level using simulation modeling technology is proposed. For a wide range of readers interested in the problems of regional strategic planning.

scholarly journals Development of a simulation model of a cargo customs complex operation as a link of a logistic supply chain

2021 ◽  
Vol 5 (3 (113)) ◽  
pp. 19-29
Author(s):  
Alexander Mazurenko ◽  
Andrii Kudriashov ◽  
Iryna Lebid ◽  
Nataliia Luzhanska ◽  
Irina Kravchenya ◽  
...  
Keyword(s):  
Supply Chain ◽  
Simulation Model ◽  
Simulation Modeling ◽  
Random Number ◽  
Random Number Generators ◽  
Maximum Value ◽  
Proposed Model ◽  
Wide Range ◽  
Simulation Error ◽  
Optimal Type

The main link in the logistics supply chain is the cargo customs complex. It provides customs and logistics services to cargo owners during the export and import of goods, complex services, placement of goods in a customs warehouse and a temporary storage warehouse. To substantiate the choice of the optimal logistics supply chain and optimize the work of the cargo customs complex, it is proposed to use simulation modeling. The model of operation of the logistics chain and the cargo customs complex is presented in a general form. The proposed model is implemented in the GPSS World simulation automation package. Testing the simulation model involved checking its adequacy. Checking the adequacy of the simulation model, which showed the maximum value of the t-statistic of 1.424 with a critical value of 1.85, proved its compliance with the work of a real object. After completing the adequacy check, the simulation error was estimated, which was 3 % with an allowable 5 %, due to the presence of pseudo-random number generators in the simulation model. Thus, the simulation error is insignificant for this study. For the cargo customs complex, an example of the simulation results is given. Based on the results of simulation modeling, it is possible to determine: the optimal type of the logistics supply chain and the optimal structure of the cargo customs complex. A wide range of tasks that the proposed simulation model can solve is presented. Thus, the developed simulation model will make it possible to analyze and improve the modes of operation of the cargo customs complex. In addition, it will allow to get an informed decision regarding the use of a certain type of logistics supply chain

scholarly journals Cellular Automata-based computational library for development of digital material representation models of heterogenous microstructures

2021 ◽  
Vol 21 (2) ◽  
Author(s):  
Konrad Boguń ◽  
Mateusz Sitko ◽  
Mateusz Mojżeszko ◽  
Łukasz Madej
Keyword(s):  
Cellular Automata ◽  
Numerical Approach ◽  
Dynamic Link Library ◽  
Full Field ◽  
Practical Applications ◽  
C Programming Language ◽  
Wide Range ◽  
C Programming ◽  
Digital Material ◽  
Heterogeneous Microstructures

AbstractThe development of an efficient numerical approach for the generation of a wide range of heterogeneous microstructures models with the application of the lean workflow concept is presented in the paper. First, the idea and implementation details of the developed cellular automata-based computational library allowing the development of digital material representation models within a workflow are presented in the paper. Such an approach provides the desired flexibility in the generation of various digital models of heterogenous microstructures. Therefore, the proposed library is mostly implemented within the object-oriented C + + programming language with the assumption of modularity. In this case, the main part of the application consists of classes and methods, which can be treated like base elements to be inherited and extended in other libraries. Each additional dynamic link library implements particular algorithms for the generation of specific microstructure features in the digital model within the unified data structures that allow the application of the workflow concept. The set of developed libraries and their assumptions are described as case studies to show the capabilities of the presented solution. Finally, examples of practical applications of the developed library in the full-field numerical simulations of complex material deformation are presented at the end of the paper.

scholarly journals Parallel Implementation of Numerical Solution of Few-Body Problem Using Feynman’s Continual Integrals

2018 ◽  
Vol 173 ◽  
pp. 05011
Author(s):  
Mikhail Naumenko ◽  
Viacheslav Samarin
Keyword(s):  
Body Problem ◽  
Parallel Implementation ◽  
Oscillatory System ◽  
C Programming Language ◽  
Nvidia Cuda ◽  
Protons And Neutrons ◽  
Cuda Technology ◽  
Wide Range ◽  
C Programming ◽  
Exactly Solvable

Modern parallel computing algorithm has been applied to the solution of the few-body problem. The approach is based on Feynman’s continual integrals method implemented in C++ programming language using NVIDIA CUDA technology. A wide range of 3-body and 4-body bound systems has been considered including nuclei described as consisting of protons and neutrons (e.g., 3,4He) and nuclei described as consisting of clusters and nucleons (e.g., 6He). The correctness of the results was checked by the comparison with the exactly solvable 4-body oscillatory system and experimental data.

SIMULATION OF A SEA CARGO PORT AS A QUEUING SYSTEM IN ANYLOGIC

2020 ◽  
Vol 4 (26) ◽  
pp. 59-66
Author(s):  
A. G. Morozkov ◽  
◽  
M. R. Yazvenko ◽  
Keyword(s):  
Simulation Model ◽  
Key Words ◽  
Simulation Modeling ◽  
Queue Length ◽  
System Simulation ◽  
Queuing System ◽  
System Model ◽  
System Capacity ◽  
Mathematical Solution ◽  
Structure Simulation

The article presents simplified queuing system model of freight marine port. The article discusses the basic elements of queuing system, its mathematical solution and structure. Simulation model was created using AnyLogic to analyze an effect of system capacity on queue length. The results were analyzed and the solution for queue optimization was proposed. Key words: queuing system, simulation modeling, AnyLogic, marine port, servers, queue.

scholarly journals Supercritical CO2 Extraction of Palladium Oxide from an Aluminosilicate-Supported Catalyst Enhanced by a Combination of Complexing Polymers and Piperidine

Molecules ◽  
2021 ◽  
Vol 26 (3) ◽  
pp. 684
Author(s):  
Andrea Ruiu ◽  
Bernhard Bauer-Siebenlist ◽  
Marin Senila ◽  
W. S. Jennifer Li ◽  
Karine Seaudeau-Pirouley ◽  
...  
Keyword(s):  
Energy Saving ◽  
Supercritical Co2 ◽  
Supported Catalyst ◽  
Precious Metals ◽  
Palladium Oxide ◽  
Supercritical Co2 Extraction ◽  
Wide Range

Precious metals, in particular Pd, have a wide range of applications in industry. Due to their scarcity, precious metals have to be recycled, preferably with green and energy-saving recycling processes. In this article, palladium extraction from an aluminosilicate-supported catalyst, containing about 2 wt% (weight%) of Pd (100% PdO), with supercritical CO2 (scCO2) assisted by complexing polymers is described. Two polymers, p(FDA)SH homopolymer and p(FDA-co-DPPS) copolymer (FDA: 1,1,2,2-tetrahydroperfluorodecyl acrylate; DPPS: 4-(diphenylphosphino)styrene), were tested with regards to their ability to extract palladium. Both polymers showed relatively low extraction conversions of approximately 18% and 30%, respectively. However, the addition of piperidine as activator for p(FDA-co-DPPS) allowed for an increase in the extraction conversion of up to 60%.

scholarly journals Use of simulation model for measurement of MilkRun system performance

2019 ◽  
Vol 9 (1) ◽  
pp. 600-605 ◽  
Author(s):  
Gabriel Fedorko ◽  
Martin Vasil ◽  
Michaela Bartosova
Keyword(s):  
Simulation Model ◽  
Production Systems ◽  
Operational Performance ◽  
Transport Systems ◽  
Indirect Methods ◽  
Operational Characteristics ◽  
Wide Range ◽  
Effective Operation ◽  
And Performance ◽  
Plant Simulation

AbstractIntra-plant transport systems within their operation directly impact on the performance of production systems. For their effective operation, it is, therefore, necessary to realize evaluation of operational performance and effectivity. For the realization of this type of evaluation, in addition to a wide range of sensors that can be difficult for installation and operation, we can also use indirect methods that are equally able to provide reliable operational characteristics. Indirect analytical methods are presented above all by the approach which is based on the use of simulation methods. The method of computer simulation provides a wide range of options for the evaluation of efficiency and performance. The paper describes the use of a simulation model created in the program Tecnomatix Plant Simulation for analyzing the supply of production workplaces within the MilkRun system.

scholarly journals Lifetime Benefit Analysis of Intelligent Maintenance: Simulation Modeling Approach and Industrial Case Study

2021 ◽  
Vol 11 (8) ◽  
pp. 3487
Author(s):  
Helge Nordal ◽  
Idriss El-Thalji
Keyword(s):  
Simulation Model ◽  
Simulation Modeling ◽  
Study Data ◽  
Opportunistic Maintenance ◽  
Maintenance Strategies ◽  
Modeling Approach ◽  
Intelligent Maintenance ◽  
Diagnosis And Prognosis ◽  
Case Study Data

The introduction of Industry 4.0 is expected to revolutionize current maintenance practices by reaching new levels of predictive (detection, diagnosis, and prognosis processes) and prescriptive maintenance analytics. In general, the new maintenance paradigms (predictive and prescriptive) are often difficult to justify because of their multiple inherent trade-offs and hidden systems causalities. The prediction models, in the literature, can be considered as a “black box” that is missing the links between input data, analysis, and final predictions, which makes the industrial adaptability to such models almost impossible. It is also missing enable modeling deterioration based on loading, or considering technical specifications related to detection, diagnosis, and prognosis, which are all decisive for intelligent maintenance purposes. The purpose and scientific contribution of this paper is to present a novel simulation model that enables estimating the lifetime benefits of an industrial asset when an intelligent maintenance management system is utilized as mixed maintenance strategies and the predictive maintenance (PdM) is leveraged into opportunistic intervals. The multi-method simulation modeling approach combining agent-based modeling with system dynamics is applied with a purposefully selected case study to conceptualize and validate the simulation model. Three maintenance strategies (preventive, corrective, and intelligent) and five different scenarios (case study data, manipulated case study data, offshore and onshore reliability data handbook (OREDA) database, physics-based data, and hybrid) are modeled and simulated for a time period of 20 years (175,200 h). Intelligent maintenance is defined as PdM leveraged in opportunistic maintenance intervals. The results clearly demonstrate the possible lifetime benefits of implementing an intelligent maintenance system into the case study as it enhanced the operational availability by 0.268% and reduced corrective maintenance workload by 459 h or 11%. The multi-method simulation model leverages and shows the effect of the physics-based data (deterioration curves), loading profiles, and detection and prediction levels. It is concluded that implementing intelligent maintenance without an effective predictive horizon of the associated PdM and effective frequency of opportunistic maintenance intervals, does not guarantee the gain of its lifetime benefits. Moreover, the case study maintenance data shall be collected in a complete (no missing data) and more accurate manner (use hours instead of date only) and used to continuously upgrade the failure rates and maintenance times.

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