A Computationally Efficient Multidiode Model for Optimizing the Front Grid of Multijunction Solar Cells under Concentration. (16th July 2020)
- Record Type:
- Journal Article
- Title:
- A Computationally Efficient Multidiode Model for Optimizing the Front Grid of Multijunction Solar Cells under Concentration. (16th July 2020)
- Main Title:
- A Computationally Efficient Multidiode Model for Optimizing the Front Grid of Multijunction Solar Cells under Concentration
- Authors:
- van de Stadt, Chris H.
Espinet Gonzalez, Pilar
Atwater, Harry A.
Saive, Rebecca - Other Names:
- Mondol Jayanta Academic Editor.
- Abstract:
- Abstract : We have developed a computationally efficient simulation model for the optimization of redirecting electrical front contacts for multijunction solar cells under concentration, and we present its validation by comparison with experimental literature results. The model allows for fast determination of the maximum achievable efficiency under a wide range of operating conditions and design parameters such as the contact finger redirecting capability, period and width of the fingers, the light concentration, and the metal and emitter sheet resistivity. At the example of a state-of-the-art four-junction concentrator solar cell, we apply our model to determine ideal operating conditions for front contacts with different light redirection capabilities. We find a 7% relative efficiency increase when enhancing the redirecting capabilities from 0% to 100%.
- Is Part Of:
- Journal of renewable energy. Volume 2020(2020)
- Journal:
- Journal of renewable energy
- Issue:
- Volume 2020(2020)
- Issue Display:
- Volume 2020, Issue 2020 (2020)
- Year:
- 2020
- Volume:
- 2020
- Issue:
- 2020
- Issue Sort Value:
- 2020-2020-2020-0000
- Page Start:
- Page End:
- Publication Date:
- 2020-07-16
- Subjects:
- Renewable energy sources -- Periodicals
Renewable energy sources
Electronic journals
Periodicals
Electronic journals
621.042 - Journal URLs:
- https://www.hindawi.com/journals/jre/ ↗
- DOI:
- 10.1155/2020/1907530 ↗
- Languages:
- English
- ISSNs:
- 2314-4386
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library HMNTS - ELD Digital store
- Ingest File:
- 14390.xml