Skip navigation


  • DSpace logo
  • Home
  • Collections
  • Researcher Profile
  • Explore by
    • Researcher Profile
  • VGU library
  • Help
  • User Guide
  • Sign on to:
    • My DSpace
    • Receive email
      updates
    • Edit Account details

VGU RESEARCH REPOSITORY


Please use this identifier to cite or link to this item: https://epub.vgu.edu.vn/handle/dlibvgu/1824
Title: Methodology for automated grid model creation and customer allocation to enhance gas quality tracking efficiency
Authors: Tu Tuan Tran 
Keywords: Automated grid model;Gas quality tracking
Issue Date: 2023
Abstract: 
The implementation of gas quality tracking necessitates a series of manual steps, introducing the potential for errors and requiring significant effort, depending on the complexity of projects and networks. This thesis addresses two key objectives. The first involves the creation of a graph model to serve as an input topology for the implementation of gas quality tracking with SmartSim software. The second objective is the allocation of customers within the lower-pressure grid to regulators. The thesis explores alternative approaches for this allocation based on volume distribution, discussing various methodologies. To investigate these approaches, an analysis of factors influencing volume distribution will be conducted.
URI(1): https://epub.vgu.edu.vn/handle/dlibvgu/1824
Rights: Attribution-NonCommercial 4.0 International
Appears in Collections:Mechanical Engineering (MEN)

Files in This Item:
File Description SizeFormat
Methodology for automated grid model creation and customer allocation to enhance gas quality tracking efficiency.pdf2.65 MBAdobe PDFView/Open
Show full item record

Page view(s)

146
checked on Nov 19, 2025

Download(s)

124
checked on Nov 19, 2025

Google ScholarTM

Check


This item is licensed under a Creative Commons License Creative Commons

© Copyright 2020 by Vietnamese - German University Library.
Add: Ring road 4, Quarter 4, Thoi Hoa Ward, Ben Cat City, Binh Duong Province
Tel.:(0274) 222 0990. Ext.: 70206