Mid Sweden University

miun.sePublications
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
One-diode photovoltaic model parameters at indoor illumination levels – A comparison
Mid Sweden University, Faculty of Science, Technology and Media, Department of Electronics Design.ORCID iD: 0000-0002-8382-0359
Mid Sweden University, Faculty of Science, Technology and Media, Department of Electronics Design.
Mid Sweden University, Faculty of Science, Technology and Media, Department of Electronics Design.ORCID iD: 0000-0001-9572-3639
2019 (English)In: Solar Energy, ISSN 0038-092X, E-ISSN 1471-1257, Vol. 180, p. 707-716Article in journal (Refereed) Published
Abstract [en]

Models of photovoltaic devices are used to compare the properties of photovoltaic cells and panels, and to predict their I-V characteristics. To a large extent, modeling methods are based on the one-diode equivalent circuit. Although much research exists on the implementation and evaluation of these methods for typical outdoor conditions, their performance at indoor illumination levels is largely unknown. Consequently, this work performs a systematic study of methods for the parameter extraction of one-diode models under indoor conditions. We selected, reviewed and implemented commonly used methods, and compared their performance at different illumination levels. We have shown that most methods can achieve good accuracies with extracted parameters regardless of the illumination condition, but their accuracies vary significantly when the parameters are scaled to other conditions. We conclude that the physical interpretation of extracted parameters at low illumination is to a large extent questionable, which explains errors based on standard scaling approaches. 

Place, publisher, year, edition, pages
2019. Vol. 180, p. 707-716
Keywords [en]
I-V characteristics, Indoor energy harvesting, Parameter extraction, Parameter scaling, Photovoltaic panel, PV model
National Category
Other Electrical Engineering, Electronic Engineering, Information Engineering
Identifiers
URN: urn:nbn:se:miun:diva-35823DOI: 10.1016/j.solener.2019.01.048ISI: 000465060000061Scopus ID: 2-s2.0-85060629587OAI: oai:DiVA.org:miun-35823DiVA, id: diva2:1297271
Projects
SMART (Smarta system och tjänster för ett effektivt och innovativt samhälle)Available from: 2019-03-19 Created: 2019-03-19 Last updated: 2021-11-03Bibliographically approved
In thesis
1. Power Estimation for Indoor Light Energy Harvesting
Open this publication in new window or tab >>Power Estimation for Indoor Light Energy Harvesting
2021 (English)Doctoral thesis, comprehensive summary (Other academic)
Abstract [en]

The growing popularity of indoor light energy harvesting for wireless sensor systems and low-power electronics has created a demand for systematic power estimation methods for different lighting conditions. Although existing research has recognized the critical role played by the spectral information on the output power of a photovoltaic cell, power estimation methods have rarely considered it. The vast majority of studies on the power estimation method in the past few years have focused on the conventional diode model, and even though scaling the parameters to other light conditions seems plausible, it is sometimes problematic to interpret the physical meanings of some parameters from theory. Therefore, a systematic investigation of the light condition characterization and PV cell modeling is fundamental to appropriately estimate the available light energy of an indoor environment. The power estimation method proposed in this thesis takes both spectral and intensity information into account and provides a data-driven approach to solve the scaling problem. We use low-cost sensors to measure spectral information and select an appropriate device model based on the classification of the light source. The evaluation results for both lab and real-world light conditions show that the proposed method achieves sufficient accuracy. This study provides new insights into the indoor light energy harvesting system design and makes a contribution to research on available energy estimation of the ambient environment.

Abstract [sv]

Intresset för att skörda energi från inomhusbelysning har ökat för att strömförsörja trådlösa sensorsystem och lågeffektelektronik och har skapat enefterfrågan på systematiska metoder för att estimera hur mycket effekt somkan skördas i olika ljusförhållanden. Även om befintlig forskning har visatden kritiska roll som spektralinformation spelar för solcellers uteffekt, så tasden inte i beaktad för effektestimeringen. De allra flesta studier om effektestimeringsmetoder under de senaste åren har fokuserat på den konventionella diodmodellen, och även om skalning av modellens parametrar till andra ljusförhållanden verkar rimliga är det ibland problematiskt att tolka den fysiskabetydelsen av vissa parametrar. Därför är en systematisk undersökning avkaraktäriseringen av ljusförhållanden och modellering av solceller grundläg-gande för att korrekt uppskatta den tillgängliga ljusenergin i en inomhus-miljö. Den effektestimeringsmetod som föreslås i den här avhandlingen tarhänsyn till både spektral- och intensitetsinformation och ger en datadrivenmetod för att lösa skalningsproblemet. Vi använder enkla ljussensorer för attmäta spektralinformation och utifrån spektralinformationen väljs en lämpligmodell för solcellen baserat på klassificering av ljuskällan. Resultaten förbåde labb och verkliga ljusförhållanden visar att den föreslagna metodenuppnår tillräcklig god noggrannhet. Denna studie ger nya insikter i dimen-sioneringen av energiskördesystemet för ljusenergi inomhus och bidrar tillforskning om tillgänglig energiuppskattning i den omgivande miljön.

Place, publisher, year, edition, pages
Sundsvall: Mid Sweden University, 2021. p. 52
Series
Mid Sweden University doctoral thesis, ISSN 1652-893X ; 338
National Category
Engineering and Technology
Identifiers
urn:nbn:se:miun:diva-40885 (URN)978-91-88947-86-4 (ISBN)
Public defence
2021-01-08, C312 och via Zoom, Holmgatan 10, Sundsvall, 13:00 (English)
Opponent
Supervisors
Available from: 2021-01-19 Created: 2021-01-18 Last updated: 2021-01-19Bibliographically approved

Open Access in DiVA

No full text in DiVA

Other links

Publisher's full textScopus

Authority records

Bader, SebastianMa, XinyuOelmann, Bengt

Search in DiVA

By author/editor
Bader, SebastianMa, XinyuOelmann, Bengt
By organisation
Department of Electronics Design
In the same journal
Solar Energy
Other Electrical Engineering, Electronic Engineering, Information Engineering

Search outside of DiVA

GoogleGoogle Scholar

doi
urn-nbn

Altmetric score

doi
urn-nbn
Total: 527 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