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Evaluation of the performance of optimizerbased PV systems under shading conditions
University of Gävle, Faculty of Engineering and Sustainable Development, Department of Building Engineering, Energy Systems and Sustainability Science.
2019 (English)Independent thesis Advanced level (degree of Master (One Year)), 10 credits / 15 HE creditsStudent thesis
Sustainable development
The essay/thesis is mainly on sustainable development according to the University's criteria
Abstract [en]

Total or partial shading conditions have a detrimental impact in the output energy ofphotovoltaic (PV) systems and in the semiconductor materials PV technologies are made of.Residential PV installations are very likely to be exposed to shade projected by nearbyobjects such as buildings or neighboring trees. The electrical configuration of PV systems iscrucial to mitigate the shading effect, as it is the use of power optimizers. This study assessesthe shading impact on two different types of residential PV systems to verify gains associatedwith SolarEdge optimizers and support product marketing. It aspires to help PV ownersselect power inverters that maximize the annual energy produced. Experiments have beenperformed simulating snow coverage and tree shading on a string-based system (Fronius)and an optimizer-based system (SolarEdge). Findings demonstrated the decrease in lossesfrom partial shading conditions with power optimizers. SolarEdge optimizers reduceshading power losses from 50% to 29% in comparison to a standard string system whensimulated snow coverage is applied. Results also showed that SolarEdge system decreasedtree shading losses from 17% to 13% in comparison to string-based system.

Place, publisher, year, edition, pages
2019. , p. 76
Keywords [en]
Solar energy, Photovoltaic systems, Shading conditions, Power optimizers, Maximum Power Point Tracking, Bypass diodes, I-V characteristic
National Category
Other Engineering and Technologies Energy Systems Other Electrical Engineering, Electronic Engineering, Information Engineering
Identifiers
URN: urn:nbn:se:hig:diva-30234OAI: oai:DiVA.org:hig-30234DiVA, id: diva2:1330692
External cooperation
Vattenfall AB R&D
Subject / course
Energy systems
Educational program
Energy systems – master’s programme (one year) (swe or eng)
Presentation
2019-06-04, University of Gävle, Gävle, 01:28 (English)
Supervisors
Examiners
Available from: 2019-06-26 Created: 2019-06-26 Last updated: 2019-06-26Bibliographically approved

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CiteExportLink to record
Permanent link

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