On the Development of a Module for the Modification of Computational Meshes by the dsmcInitialise Utility

2021 ◽  
Vol 12 (4) ◽  
pp. 209-215
Author(s):  
D. I. Chitalov ◽  

The research, the results of which are presented in this article, is devoted to the development of a software module with a graphical user interface that provides a modification of the computational mesh based on the dsmcInitialise utility, which is used at the preprocessing stage of numerical modeling of continuum mechanics problems using the OpenFOAM software environment. The paper describes the existing graphical shells for working with OpenFOAM with an indication of their shortcomings, formulates the relevance of the work, and defines the goals and objectives of the study. The article presents the features of the direct Monte Carlo simulation method, a description of the dsmcInitialise utility integrated into OpenFOAM and designed for such modeling, as well as a description of the corresponding dictionary file with parameters. The article includes diagrams of the structure and logic of the application, describes the technology stack used. The results of the application of the program on the example of one of the training problem of OpenFOAM are presented. The final conclusions are formulated, as well as the provisions that determine the scientific novelty of the research, and its intended practical value is determined. A link to the repository with the source code of the presented software module is provided.

Energies ◽  
2021 ◽  
Vol 14 (10) ◽  
pp. 2885
Author(s):  
Daniel Losada ◽  
Ameena Al-Sumaiti ◽  
Sergio Rivera

This article presents the development, simulation and validation of the uncertainty cost functions for a commercial building with climate-dependent controllable loads, located in Florida, USA. For its development, statistical data on the energy consumption of the building in 2016 were used, along with the deployment of kernel density estimator to characterize its probabilistic behavior. For validation of the uncertainty cost functions, the Monte-Carlo simulation method was used to make comparisons between the analytical results and the results obtained by the method. The cost functions found differential errors of less than 1%, compared to the Monte-Carlo simulation method. With this, there is an analytical approach to the uncertainty costs of the building that can be used in the development of optimal energy dispatches, as well as a complementary method for the probabilistic characterization of the stochastic behavior of agents in the electricity sector.


2015 ◽  
Vol 14 ◽  
pp. CIN.S26470 ◽  
Author(s):  
Richard P. Finney ◽  
Qing-Rong Chen ◽  
Cu V. Nguyen ◽  
Chih Hao Hsu ◽  
Chunhua Yan ◽  
...  

The name Alview is a contraction of the term Alignment Viewer. Alview is a compiled to native architecture software tool for visualizing the alignment of sequencing data. Inputs are files of short-read sequences aligned to a reference genome in the SAM/BAM format and files containing reference genome data. Outputs are visualizations of these aligned short reads. Alview is written in portable C with optional graphical user interface (GUI) code written in C, C++, and Objective-C. The application can run in three different ways: as a web server, as a command line tool, or as a native, GUI program. Alview is compatible with Microsoft Windows, Linux, and Apple OS X. It is available as a web demo at https://cgwb.nci.nih.gov/cgi-bin/alview . The source code and Windows/Mac/Linux executables are available via https://github.com/NCIP/alview .


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