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PV modeling in IDA ICE (5.0 beta): Perfomance analysis based on measured data in high latitudes
Dalarna University, School of Information and Engineering, Energy Technology. (-)ORCID iD: 0009-0003-4092-2536
Dalarna University, School of Information and Engineering, Energy Technology.
2023 (English)In: Proceedings of the 40th European Photovoltaic Solar Energy Conference and Exhibition in Lisbon, Portugal, München: WIP, 2023, , p. 6Conference paper, Oral presentation with published abstract (Other academic)
Abstract [en]

In recent years, the widespread adoption of photovoltaic (PV) installations across various sectors has created a growing demand for accurate PV design tools. In this pursuit, the latest version of IDA Indoor Climate and Energy (IDA ICE 5 beta) emerges as a contender, offering advanced PV modeling capabilities, together with the advanced building simulation capabilities it already has. This study evaluates the accuracy of PV modeling within IDA ICE by comparing predicted power outputs to real-world data from three existing PV systems located at the Research Institute of Sweden (RISE) in Borås. To achieve this, weather files are created using historical weather and radiation data. As the measured radiation data is only available as total irradiation on a tilted plane, it was deconstructed into direct and diffuse components on the horizontal plane using a modified version of the model by Erbs et al.. Additional known parameters are the geometry of the PV array, and the characteristics of PV panel and inverter, based on their product data sheets. The accuracy of the PV design tool in IDA ICE is evaluated by comparing the power output of unshaded arrays against the measured data from RISE. The calculated power output is compared to the measured power output and analyzed through ASHRAE 14-2014 guidelines for performance evaluation. It was found that the software gives an accurate prediction of both panel temperature and PV power production. A study on shading effects is an open problem to improve the generality of the results in this study.

Place, publisher, year, edition, pages
München: WIP, 2023. , p. 6
Keywords [en]
PV Array, PV Modeling, Renewable Energy Planning, IDA ICE, Building Energy Simulation
National Category
Energy Systems
Identifiers
URN: urn:nbn:se:du-47506DOI: 10.4229/EUPVSEC2023/4DV.4.48ISBN: 3-936338-88-4 (electronic)OAI: oai:DiVA.org:du-47506DiVA, id: diva2:1820364
Conference
EU PVSEC 2023, Lisbon
Funder
SOLVE, 52693-1Available from: 2023-12-18 Created: 2023-12-18 Last updated: 2023-12-18Bibliographically approved

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Publisher's full textProceedings EU PVSEC 2023

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Rynoson, MariekeBales, Chris

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CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • chicago-author-date
  • chicago-note-bibliography
  • 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