Logo: to the web site of Uppsala University

uu.sePublications from Uppsala University
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association
  • 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
Estimating Photovoltaic capacity using customs data: Model development of the tool NJORD and photovoltaics' characterization and impact on the African continent
Uppsala University, Disciplinary Domain of Science and Technology, Technology, Department of Civil and Industrial Engineering, Civil Engineering and Built Environment.
2023 (English)Independent thesis Advanced level (professional degree), 20 credits / 30 HE creditsStudent thesis
Abstract [en]

Photovoltaics (PV) is one of the fastest growing power sources in the world in the last twenty years, being the most installed power source in almost half of the world's countries in 2020. Despite this, precise tracking of installations of PV does not exist in most of the world's markets due to PVs unique scalability and modularity. One way to try to estimate how much PV is installed in the world is by following trade data between countries, which is the goal of NJORD. In NJORD the installed capacity of PV is estimated in the world by following the trade of PV as closely as possible and calculating an estimation based on module prices, weights and other factors collected from the market. The ITC reports trade in different levels, 6-digits codes called HS-codes are the most precise codes that are shared between all countries reporting to ITC, and NTL-codes that are more precise than the HS-codes but individual per country.

By identifying existing NTL-codes and incorporating them into the NJORD models, estimations can be made that lie within 10% of the reported publicized data for a set of reference countries with credible PV reporting. Using the same estimation criteria, the model can also estimate installed PV capacity in most of the countries in the world. The NJORD model finds that most countries in the world have PV capacity installed, and that the best reports from the African continent miss some capacity. 

The estimated PV capacity installed on the African continent correlates with the reported performance towards multiple SDGs, showing that PV has an impact on the continent with the clearest impact on SDG7 “Ensure access to affordable, reliable, sustainable and modern energy for all”, but also an impact on health through a decrease in lung-disease. Off-grid PV plays a large part on the African PV market and it is hard to monitor due to the small size of the systems. NJORD can capture these systems in the estimations in a way that is difficult for the classic collection of data.

Place, publisher, year, edition, pages
2023. , p. 55
Series
UPTEC STS, ISSN 1650-8319 ; 23003
Keywords [en]
Photovoltaic, Trade analysis, Development Goals, Africa
National Category
Energy Systems
Identifiers
URN: urn:nbn:se:uu:diva-496663OAI: oai:DiVA.org:uu-496663DiVA, id: diva2:1737760
External cooperation
Becquerel Sweden AB
Educational program
Systems in Technology and Society Programme
Supervisors
Examiners
Available from: 2023-03-15 Created: 2023-02-17 Last updated: 2023-03-15Bibliographically approved

Open Access in DiVA

fulltext(1984 kB)289 downloads
File information
File name FULLTEXT01.pdfFile size 1984 kBChecksum SHA-512
1298b8d34353845ca3f0f80b4665c53de5da79b9f2d2f614fe12470032c5af5c0577dd49a967e78e8ccc521e22b145aa40799d39204768590890ab3f2ed3cb6a
Type fulltextMimetype application/pdf

By organisation
Civil Engineering and Built Environment
Energy Systems

Search outside of DiVA

GoogleGoogle Scholar
Total: 328 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: 322 hits
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association
  • 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