scholarly journals Data-driven Modelling of Thermal Solid Sorption Storage Systems

2021 ◽  
Vol 6 ◽  
pp. 27
Author(s):  
Harald Kirchsteiger ◽  
Nayrana Daborer-Prado

An approach fofsr data-driven modelling of open sorption storage systems using zeolite as storage material is presented. The overall dynamic simulation model has the inflow air stream mass flow and absolute humidity as inputs and computes the outflow air temperature. The model is sub-divided into several components, where dynamic state space and process model identification techniques are applied. A comparison of the proposed modelling technique with simulated data from a validated model based on first principles shows that a reasonable accuracy − for a model application in temperature control systems design − can be obtained. It was found that using the proposed strategy, only a limited number of experiments are required, thus saving experimental time. Moreover, the computational requirements for a simulation using the proposed model are greatly reduced compared to a simulation model where differential equations discretised in time and space must be solved.

1989 ◽  
Vol 236 (1285) ◽  
pp. 385-416 ◽  

Patch-clamp data may be analysed in terms of Markov process models of channel gating mechanisms. We present a maximum likelihood algorithm for estimation of gating parameters from records where only a single channel is present. Computer simulated data for three different models of agonist receptor gated channels are used to demonstrate the performance of the procedure. Full details of the implementation of the algorithm are given for an example gating mechanism. The effects of omission of brief openings and closings from the single-channel data on parameter estimation are explored. A strategy for discriminating between alternative possible gating models, based upon use of the Schwarz criterion, is described. Omission of brief events is shown not to lead to incorrect model identification, except in extreme circumstances. Finally, the algorithm is extended to include channel gating models exhibiting multiple conductance levels.


2021 ◽  
pp. 1-37
Author(s):  
Zhanchao Huang ◽  
Chunjiang Li ◽  
Z. L. Huang ◽  
Yong Wang ◽  
Hanqing Jiang

Abstract The simplified governing equations of applied mechanics play a pivotal role and were derived based on ingenious assumptions or hypotheses regarding the displacement fields for specific problems. In this paper, we introduce a data-driven method by the name AI-Timoshenko in honor of Timoshenko, father of applied mechanics, to automatically discover simplified governing equations for applied mechanics problems directly from discrete data simulated by the 3D finite element method. This liberates applied mechanicians from burdensome labor, including assumptions, derivation, and trial and error. The simplified governing equations for Euler-Bernoulli and Timoshenko beam theories are successfully rediscovered using the present AI-Timoshenko method, which shows that this method is capable of discovering simplified governing equations for applied mechanics problems.


Author(s):  
Zhaoxu Chen ◽  
Xianling Li ◽  
Zhiwu Ke ◽  
Mo Tao ◽  
Yi Feng

This paper proposes a data-driven fault detection approach for nuclear power plant. The approach starts from input and output (I/O) data obtained from operating data of industrial process. Due to the model is not explicitly appeared, the proposed approach is named as implicit model approach (IMA). Residual generator is obtained directly from I/O data rather than from the mechanism, based which the algorithm of IMA-based fault detection is proposed. The main advantage of IMA-based fault detection is that it can circumvent complicated model identification. The approach generates parameterized matrices of residual signal inspired by subspace relevant technology without any prior knowledge about mechanisms of the plant. Fault information has been injected to a simulating platform of a compact reactor in the simulation part, by which we verify the effectiveness of IMA-based fault detection.


Author(s):  
Ray Bucklin ◽  
Sid Thompson ◽  
Ali Abdel-Hadi ◽  
Michael Montross

2016 ◽  
Vol 04 (02) ◽  
pp. 374-381
Author(s):  
Xiaoyan Lu ◽  
Hong Chen ◽  
Miao Wang ◽  
Zhengying Cai
Keyword(s):  

Water ◽  
2021 ◽  
Vol 13 (19) ◽  
pp. 2668
Author(s):  
Yujiang Xiong ◽  
Zhenyang Liu ◽  
Fengli Liu ◽  
Niannian Yuan ◽  
Haolong Fu

Flat, low-lying agricultural areas such as irrigation districts in southern China have been increasingly vulnerable to flood inundation disasters because of the increased runoff associated with urbanization and climate change. In this study, we developed a waterlogging process simulation model comprising two parts: runoff generation module and runoff confluence module. An improved tank model and hydrodynamic model based on Saint–Venant equations were adopted in the runoff generation and confluence module, respectively. The results show that the model’s relative error and root mean square error are 2.1% and 0.17 mm/h, and the Nash coefficient of the model is 0.91. The relative error of river level simulation was within 5%, and the Nash coefficient was higher than 0.9. The proposed waterlogging simulation model could be a valuable tool for describing the process of waterlogging generation, accumulation, and confluence in the studied irrigation district or other regions with similar climatic conditions.


2020 ◽  
Vol 24 (3) ◽  
pp. 67-77
Author(s):  
V. V. Devyatkov ◽  
A. V. V.Gabalin

The purpose of research. The goal of this study is to analyze different domestic software packages intended for modeling of business processes involving queues and time parameters. The main analysis criteria are: the possibility of graphical development or conversion of the business process block diagram to the model; automatic generation of simulation model; quick and convenient construction of domain-specific application; the variety of result analysis tools. The relevance of the problems to choose the optimal modeling tool is determined by the need to use only domestic software for business process investigation in the military and some scientific organizations, and by the lack of information about existing software products. In this paper, the subject of study is the Russian simulation modeling environment GPSS Studio.Materials and methods. In this article, the analysis of the possibility of effective usage of GPSS Studio environment during business processes analysis and synthesis is performed. The study was performed on the available examples of different applications of this tool, and by the creation of the model analyzing business processes that are typical for any HR department.Results. Taking into account the performed analysis of functionality and practical applications of the GPSS Studio environment, the good prospects of its application for modeling of business processes involving queues and time parameters are shown. The further system improvements intended for effective business process modeling are proposed.Conclusion. As a result of the performed study, we can do the following conclusions and recommendations:– The GPSS Studio graphical editor can be successfully used for the graphical description of the business processes when it is required to analyze: queues, the load of resources, and the time characteristics of the processing,– The simulation model is automatically generated from the graphical description. The produced model can be finally debugged and verified with the GPSS Studio,– The standalone simulation application working in terms of the subject domain can be built from the simulation model using the simulation environment,– Using this application, it is possible to perform complex business process simulation modeling by means of varying system parameters and performing of singular experiments, a series of dedicated experiments, and optimizing experiments,– Since the GPSS Studio concepts include the possibility to create domain-specific libraries of standard blocks, it is possible to create a library of standard elements similar to IDEF, BPMN, DFD block charts to facilitate faster description and modeling of business processes. After the creation of such a library, there would be no need to manually write GPSS code, since the business process model could be built by a simple connection of standard blocks.


2013 ◽  
Vol 554-557 ◽  
pp. 1045-1054 ◽  
Author(s):  
Welf Guntram Drossel ◽  
Reinhard Mauermann ◽  
Raik Grützner ◽  
Danilo Mattheß

In this study a numerical simulation model was designed for representing the joining process of carbon fiber-reinforced plastics (CFRP) and aluminum alloy with semi-tubular self-piercing rivet. The first step towards this goal is to analyze the piercing process of CFRP numerical and experimental. Thereby the essential process parameters, tool geometries and material characteristics are determined and in finite element model represented. Subsequently the finite element model will be verified and calibrated by experimental studies. The next step is the integration of the calibrated model parameters from the piercing process in the extensive simulation model of self-piercing rivet process. The comparison between the measured and computed values, e.g. process parameters and the geometrical connection characteristics, shows the reached quality of the process model. The presented method provides an experimental reliable characterization of the damage of the composite material and an evaluation of the connection performances, regarding the anisotropic property of CFRP.


Sign in / Sign up

Export Citation Format

Share Document