mdh.sePublications
Change search
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf
Towards On-line Fault Detection and Diagnostics in District Heating Systems
Mälardalen University, School of Business, Society and Engineering, Future Energy Center. (Future Energy Center)ORCID iD: 0000-0001-5520-739X
Mälardalen University, School of Business, Society and Engineering, Future Energy Center. (Future Energy Center)ORCID iD: 0000-0002-7233-6916
Mälardalen University, School of Business, Society and Engineering, Future Energy Center. (Future Energy Center)ORCID iD: 0000-0002-8466-356X
2016 (English)In: / [ed] J. Yan, 2016Conference paper (Refereed)
Abstract [en]

This paper gives a brief introduction for detecting faults in pressure sensors and diagnostics in a district heating network.  Proper pressure throughout the network is essential in maintaining the requirements for the end-user.  A district heating network library has been constructed in OpenModelica for the purpose of developing a district heating network representation of Skultuna, Sweden.  The use of object-oriented program will give the ease of expanding the network to encompass the entire network distribution from Mälarenergi AB, Västerås, Sweden. The physical model can then be used in conjunction with sensor data to calculate residual values.  These residuals are then used as input into a Bayesian Network to determine the possibility of three different operating outcomes. This approach will allow for operators to evaluate a systems performance, help in decision support mechanisms, and can provide assistance in scheduling maintenance.  

Place, publisher, year, edition, pages
2016.
Keyword [en]
District heating, dynamic modeling, object-oriented programming, fault detection, decision support
National Category
Energy Systems
Research subject
Energy- and Environmental Engineering
Identifiers
URN: urn:nbn:se:mdh:diva-33993OAI: oai:DiVA.org:mdh-33993DiVA: diva2:1050130
Conference
The 8th International Conference on Applied Energy 2016,October 8-11, Beijing, China.
Available from: 2016-11-28 Created: 2016-11-28 Last updated: 2017-02-02Bibliographically approved

Open Access in DiVA

No full text

Search in DiVA

By author/editor
Zimmerman, NathanDahlquist, ErikKyprianidis, Konstantinos
By organisation
Future Energy Center
Energy Systems

Search outside of DiVA

GoogleGoogle Scholar

Total: 48 hits
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf