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
Undersökning av lönsamhet för batterilagring i kommersiella fastigheter tillsammans med solceller: Förutsättningar för lönsamhet vid optimal drift och vid drift baserad på prognoser
Uppsala University, Disciplinary Domain of Science and Technology, Technology, Department of Engineering Sciences, Solid State Physics.
Uppsala University, Disciplinary Domain of Science and Technology, Technology, Department of Engineering Sciences, Solid State Physics.
2017 (Swedish)Independent thesis Advanced level (professional degree), 20 credits / 30 HE creditsStudent thesis
Abstract [en]

The majority of the existing photovoltaic (PV) systems are dimensioned in such a way that no or only a small part of the production exceeds the buildings internal consumption. This is done because sold electricity to the grid has a lower economic value than if used internally in the building. Therefore commercial buildings, with high consumption during sunny hours, are to prefer when installing PV.

Implementing a battery energy storage system in these facilities can lead to higher self consumption of the PV energy and reduced electricity bills. To take full advantage of this potential it requires optimal management of the battery. In this study an optimized battery algorithm was developed to show the full potential a perfectly managed battery can have to reduce cost of electricity within commercial buildings.

There are three main charge and discharge patterns for a battery which can reduce the cost on the electricity bill: 1) Charge and discharge at different prices, 2) peak shaving and 3) overproduced PV is stored for later use. By utilizing a battery in an optimal way to reduce the costs as much as possible, batteries will reach break even at battery prices between 1350-2100 SEK/kWh, depending on which scenario evaluated.

By implementing forecast based desicion-making, in which the battery operation is optimized with respect to PV and consumption forecasts, the system profitability declines rapidly, especially when using a consumption forecast. A real system would probably profit from basing the battery operation on both forecasts and real time measurements. 

Place, publisher, year, edition, pages
2017. , 69 p.
Series
UPTEC ES, ISSN 1650-8300 ; 17009
Keyword [en]
battery storage forecast optimal
Keyword [sv]
batterilagring väderprognos optimal styrning
National Category
Engineering and Technology
Identifiers
URN: urn:nbn:se:uu:diva-326013OAI: oai:DiVA.org:uu-326013DiVA: diva2:1118157
External cooperation
Save by solar Sweden AB
Educational program
Master Programme in Energy Systems Engineering
Supervisors
Examiners
Available from: 2017-07-06 Created: 2017-06-29 Last updated: 2017-07-06Bibliographically approved

Open Access in DiVA

fulltext(5126 kB)82 downloads
File information
File name FULLTEXT01.pdfFile size 5126 kBChecksum SHA-512
c4f366d61a02598dbca1cd0cce9c2d65208f2d12f653608fb9aa047ccc9fefb6a05de62023edebbb988bb344b2e78fa61bcf7d1971f986527ed7983e8a8bf353
Type fulltextMimetype application/pdf

By organisation
Solid State Physics
Engineering and Technology

Search outside of DiVA

GoogleGoogle Scholar
Total: 82 downloads
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: 291 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