Change search
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • 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
Prognostisering av fjärrvärmekunders effektförbrukning: Metod för hur Stockholm Exergi kan öka kvaliteten i simuleringsmodeller av fjärrvärmenätet
2018 (Swedish)Independent thesis Advanced level (professional degree), 20 credits / 30 HE creditsStudent thesis
Abstract [en]

A method for predicting consumer heat power usage was examined, for the purpose of implementing such a method in simulation models of the district heating distribution network at Stockholm Exergi. This was to enhance the results of such simulations and aid the company’s work with distribution optimization. A method based on power signatures, which are models currently used in many applications, was examined. The method aspired to describe the consumption patterns of consumers over time and temperature, categorize consumers according to these patterns and then implement the results in the simulation models.

The addition of a time parameter to the signatures resulted in an improved and more consistent prediction quality. Categorizing the consumers mathematically caused only a minor decrease in the prediction quality and resulted in better prediction quality than the categorization system currently used. Stockholm Exergi is adviced to keep examining mathematical categorization of consumers as such a categorization has several advantages to the one currently used. It is also recommended to examine options to Termis for performing individual consumer predictions as the program is not well suited for it. Such options could be other software or add-ons to Termis which make such predictions more viable.

Place, publisher, year, edition, pages
2018. , p. 68
Series
UPTEC ES, ISSN 1650-8300 ; 18 033
Keywords [sv]
fjärrvärme, effektsignatur, effektförbrukning, prediktionsmodell
National Category
Energy Systems
Identifiers
URN: urn:nbn:se:uu:diva-355789OAI: oai:DiVA.org:uu-355789DiVA, id: diva2:1231131
External cooperation
Stockholm Exergi
Educational program
Master Programme in Energy Systems Engineering
Supervisors
Examiners
Available from: 2018-07-05 Created: 2018-07-05 Last updated: 2018-07-05Bibliographically approved

Open Access in DiVA

fulltext(1741 kB)0 downloads
File information
File name FULLTEXT01.pdfFile size 1741 kBChecksum SHA-512
a4cc33398fdb82ec48b5c9d2fb82f041605dfaefa7bfdfe38ca283c9e511f0f649cc423c83ad5c4c1a21dc160187cea8eda8a7aca932b3d41499b690dcd8d71c
Type fulltextMimetype application/pdf

Energy Systems

Search outside of DiVA

GoogleGoogle Scholar
The number of downloads is the sum of all downloads of full texts. It may include eg previous versions that are now no longer available

urn-nbn

Altmetric score

urn-nbn
Total: 1 hits
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • 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