Automatic Generation of a Lifecycle Analysis Model from a First Principles Industrial Process Simulation Model

2018 ◽  
Author(s):  
Kashif Gulzar ◽  
Reino Ruusu ◽  
Seppo Sierla ◽  
Pekka Aarnio ◽  
Tommi Karhela ◽  
...  
Keyword(s):  
Simulation Model ◽  
Process Simulation ◽  
First Principles ◽  
Industrial Process ◽  
Automatic Generation ◽  
Lifecycle Analysis ◽  
Analysis Model

scholarly journals Automatic Generation of a High-Fidelity Dynamic Thermal-Hydraulic Process Simulation Model From a 3D Plant Model

IEEE Access ◽  
2018 ◽  
Vol 6 ◽  
pp. 45217-45232 ◽  
Author(s):  
Gerardo Santillan Martinez ◽  
Seppo A. Sierla ◽  
Tommi A. Karhela ◽  
Jari Lappalainen ◽  
Valeriy Vyatkin
Keyword(s):  
Simulation Model ◽  
Process Simulation ◽  
Automatic Generation ◽  
High Fidelity ◽  
Plant Model ◽  
Hydraulic Process

Heating Performance Research in the Running-In Process of Wet Friction Clutch

2014 ◽  
Vol 614 ◽  
pp. 12-15
Author(s):  
Yu Fei Liu ◽  
Xiu Chao Bai ◽  
Xin Li ◽  
Yong Liang Lei
Keyword(s):  
Simulation Model ◽  
Temperature Control ◽  
Temperature Rise ◽  
Analysis Model ◽  
Heating Performance ◽  
Wet Friction ◽  
Friction Clutch ◽  
Simulation Results ◽  
Model Of Friction ◽  
Performance Research

The heating in the running-in process of wet friction clutch is the key to research in this kind of products. In this paper, based on the shifting clutch composed of metal and paper-based friction liner, using MATLAB/SIMULINK software, the simulation model of friction clutch and the analysis model of conducting heat were established. Thus, the corresponding relationships were obtained, which were the total friction power and clutch temperature variation with the time during the running-in process. According to the simulation results, the main influencing factors on temperature control of wet friction clutch were analyzed during running-in process, and the results could provide reference for reasonable temperature rise control for the clutch.

A Simulation Model for Multi-Factor Sensitivity Analysis on Energy Demand

2012 ◽  
Vol 621 ◽  
pp. 352-355
Author(s):  
Zhong Fu Tan ◽  
Shu Xiang Wang ◽  
Chen Zhang ◽  
Li Qiong Lin ◽  
Yin Hui Zhao
Keyword(s):  
Sensitivity Analysis ◽  
Energy Efficiency ◽  
Regression Model ◽  
Simulation Model ◽  
Influencing Factors ◽  
Energy Demand ◽  
Analysis Model ◽  
Demand Forecast ◽  
Population Urbanization

This paper analyses multi influencing factors of energy demand, using energy demand forecast regression model reveals inner relations between each factor and energy demand. Establish simulation model of the relation between GDP, energy intense and energy demand. Under the change in population, urbanization and energy efficiency, this paper gives analysis model of energy demand change.

scholarly journals Multi-scale Simulation in Railway Planning and Operation

2012 ◽  
Vol 23 (6) ◽  
pp. 511-517 ◽  
Author(s):  
Yong Cui ◽  
Ullrich Martin
Keyword(s):  
Simulation Model ◽  
Process Simulation ◽  
Level Of Detail ◽  
Smooth Transition ◽  
Simulation Methods ◽  
Multi Scale ◽  
Railway Planning ◽  
The Moment ◽  
Discrete Scaling ◽  
Planning And Operation

Simulation methods are widely used in railway planning and operation. However, at the moment there are no applicable solutions in the process simulation for a smooth transition among different infrastructure levels on the basis of a unified structure with consistent algorithm. In this paper, a multi-scale simulation model is designed with consideration of the level of detail of the investigated infrastructure model and the homogeneity of the processes running in the simulation model. A comprehensive and synthesized view of railway planning and operation is therefore obtained. Within the multi-scale simulation model, railway planning and operation processes can be simulated, evaluated and optimized consistently. KEY WORDS: railway planning, simulation, multi-scale, aggregation, discrete scaling, continuous scaling, homogenous process, inhomogeneous process

scholarly journals Towards Semi-Automatic Generation of a Steady State Digital Twin of a Brownfield Process Plant

2020 ◽  
Vol 10 (19) ◽  
pp. 6959
Author(s):  
Seppo Sierla ◽  
Lotta Sorsamäki ◽  
Mohammad Azangoo ◽  
Antti Villberg ◽  
Eemeli Hytönen ◽  
...  
Keyword(s):  
Simulation Model ◽  
Great Majority ◽  
Automatic Generation ◽  
Digital Twin ◽  
Design Alternatives ◽  
Process Plant ◽  
Process Plants ◽  
Engineering Effort ◽  
Process Measurements

Researchers have proposed various models for assessing design alternatives for process plant retrofits. Due to the considerable engineering effort involved, no such models exist for the great majority of brownfield process plants, which have been in operation for years or decades. This article proposes a semi-automatic methodology for generating a digital twin of a brownfield plant. The methodology consists of: (1) extracting information from piping and instrumentation diagrams, (2) converting the information to a graph format, (3) applying graph algorithms to preprocess the graph, (4) generating a simulation model from the graph, (5) performing manual expert editing of the generated model, (6) configuring the calculations done by simulation model elements and (7) parameterizing the simulation model according to recent process measurements in order to obtain a digital twin. Since previous work exists for steps (1–2), this article focuses on defining the methodology for (3–5) and demonstrating it on a laboratory process. A discussion is provided for (6–7). The result of the case study was that only few manual edits needed to be made to the automatically generated simulation model. The paper is concluded with an assessment of open issues and topics of further research for this 7-step methodology.

The Influence of Measured Trajectory Based Model Parameters Correcting on Simulation Precision of Power System Dynamic Frequency

2013 ◽  
Vol 448-453 ◽  
pp. 2545-2550
Author(s):  
Gang Mu ◽  
Ming Li ◽  
Jun An ◽  
Xing Wei Xu ◽  
Shuai Shao
Keyword(s):  
Numerical Simulation ◽  
Simulation Model ◽  
Process Simulation ◽  
Northeast China ◽  
Operation Mode ◽  
Measured Data ◽  
Model Parameters ◽  
Conservative Operation ◽  
Generator Frequency ◽  
Dynamic Frequency

Although numerical simulation is an important method of researching dynamic frequency process, obvious deviations have been found between numerical simulation and the measured trajectory in many accidents. And the existing simulation model and parameters cannot describe the actual dynamic process of frequency accurately. Research was carried out on the influence of four parameters to the dynamic frequency process, which based on the WSCC system. The four parameters include the inertia constant of generator, generator frequency coefficient, dead band and turbine intermediate superheating coefficient. Northeast China power grid and measured data are used to verify the above research conclusion. Checking the dynamic frequency process simulation model and parameters can improve the accuracy of dynamic frequency process simulation on the base of the measured trajectory and the physical characteristics of the parameters. It can also give efficient foundation for the setting work of UFLS, overcoming the previous conservative operation mode and so on.

Maintenance Process Simulation Model Considered Sharing Resource and its Application

2011 ◽  
Vol 189-193 ◽  
pp. 2530-2534
Author(s):  
Chang Zheng Qu ◽  
Rui Liu ◽  
Jian Rong Zhang ◽  
Yue Dong
Keyword(s):  
Quantitative Analysis ◽  
Simulation Model ◽  
Process Simulation ◽  
Process Model ◽  
Test Equipment ◽  
Resource Usage ◽  
Deployment Optimization ◽  
Maintenance Process ◽  
Maintenance Performance

To study the maintenance resources deployment optimization, the resource usage characteristic was analyzed and a maintenance process model was constructed considering multi-team sharing test equipment. Applying model, the quantitative analysis was made and the maintenance performance of different resources deployment was provided.

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