The DOI matches its Crossref record; 3 of the 3 references it cites were found in a registry or an index.
On the role of solar photovoltaics in global energy transition scenarios
Open accessAbstract
The global energy system has to be transformed towards high levels of sustainability in order to comply with the COP21 agreement. Solar photovoltaic (PV) offers excellent characteristics to play a major role in this energy transition. The key objective of this work is to investigate the role of PV in the global energy transition based on respective scenarios and a newly introduced energy transition model developed by the authors. A progressive group of energy transition scenarios present results of a fast growth of installed PV capacities and a high energy supply share of solar energy to the total primary energy demand in the world in the decades to come. These progressive energy transition scenarios can be confirmed. For the very first time, a full hourly modelling for an entire year is performed for the world, subdivided in 145 sub‐regions, which is required to reflect the intermittent character of the future energy system. The model derives total installed solar PV capacity requirements of 7.1–9.1 TWp for the electricity sector (as of the year 2015) and 27.4 TWp for the entire energy system in the mid‐term. The long‐term capacity is expected to be 42 TWp and, because of the ongoing cost reduction of PV and battery technologies, this value is found to be the lower limit for the installed capacities. Solar PV electricity is expected to be the largest, least cost and most relevant source of energy in the mid‐term to long‐term for the global energy supply. Copyright © The Authors. Progress in Photovoltaics: Research and Applications published by John Wiley & Sons Ltd
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Cites
The Anthropocene is functionally and stratigraphically distinct from the Holocene
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BackgroundWhy the right climate target was agreed in Paris
Schellnhuber, H. J., Rahmstorf, S., & Winkelmann, R. (2016) · Nature Climate Change · doi:10.1038/nclimate3013 · Cited by 398
Can Australia Power the Energy-Hungry Asia with Renewable Energy?
Gulagi, A., Bogdanov, D., Fasihi, M., & Breyer, C. (2017) · Sustainability · doi:10.3390/su9020233 · Cited by 66
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The underestimated potential of solar energy to mitigate climate change
Creutzig, F., Agoston, P., Goldschmidt, J. C., Luderer, G., Nemet, G., & Pietzcker, R. C. (2017) · Nature Energy · doi:10.1038/nenergy.2017.140 · Cited by 920
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Self-citationRadical transformation pathway towards sustainable electricity via evolutionary steps
Bogdanov, D., Farfan, J., Sadovskaia, K., Aghahosseini, A., Child, M., Gulagi, A., Oyewo, A. S., de Souza Noel Simas Barbosa, L., & Breyer, C. (2019) · Nature Communications · doi:10.1038/s41467-019-08855-1 · Cited by 649
Self-citationStatus and perspectives of crystalline silicon photovoltaics in research and industry
Ballif, C., Haug, F.-J., Boccard, M., Verlinden, P. J., & Hahn, G. (2022) · Nature Reviews Materials · doi:10.1038/s41578-022-00423-2 · Cited by 640
Metadata
- Authors
- Breyer, C., Bogdanov, D., Gulagi, A., Aghahosseini, A., Barbosa, L. S. N. S., Koskinen, O., Barasa, M., Caldera, U., Afanasyeva, S., Child, M., Farfan, J., & Vainikka, P.
- Venue
- Progress in Photovoltaics: Research and Applications
- Publisher
- Wiley
- Published
- 2017-03-17
- Volume
- 25
- Issue
- 8
- Pages
- 727-745
- ISSN
- 1062-7995 (ISSN-L)
- 1099-159X
- OpenAlex
- W2596056971
- Cited by
- 370
- References
- 3
- FWCI
- 16.00
- Type
- journal article
- Language
- en
- Open access
- hybrid
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- Breyer, C., Bogdanov, D., Gulagi, A., Aghahosseini, A., Barbosa, L. S. N. S., Koskinen, O., Barasa, M., Caldera, U., Afanasyeva, S., Child, M., Farfan, J., & Vainikka, P. (2017). On the role of solar photovoltaics in global energy transition scenarios. Progress in Photovoltaics: Research and Applications. https://doi.org/10.1002/pip.2885
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.