A comprehensive dataset of photonic features on spectral converters for energy harvesting Article Swipe
Rute A. S. Ferreira
,
Sandra F. H. Correia
,
Pétia Georgieva
,
Lianshe Fu
,
Mário Antunes
,
Paulo André
·
YOU?
·
· 2024
· Open Access
·
· DOI: https://doi.org/10.1038/s41597-023-02827-3
YOU?
·
· 2024
· Open Access
·
· DOI: https://doi.org/10.1038/s41597-023-02827-3
Building integrated photovoltaics is a promising strategy for solar technology, in which luminescent solar concentrators (LSCs) stand out. Challenges include the development of materials for sunlight harvesting and conversion, which is an iterative optimization process with several steps: synthesis, processing, and structural and optical characterizations before considering the energy generation figures of merit that requires a prototype fabrication. Thus, simulation models provide a valuable, cost-effective, and time-efficient alternative to experimental implementations, enabling researchers to gain valuable insights for informed decisions. We conducted a literature review on LSCs over the past 47 years from the Web of Science TM Core Collection, including published research conducted by our research group, to gather the optical features and identify the material classes that contribute to the performance. The dataset can be further expanded systematically offering a valuable resource for decision-making tools for device design without extensive experimental measurements.
Related Topics
Concepts
Computer science
Photovoltaics
Implementation
Iterative and incremental development
Process (computing)
Systems engineering
Data science
Solar energy
Photovoltaic system
Photonics
Efficient energy use
Energy harvesting
Energy (signal processing)
Software engineering
Engineering
Materials science
Electrical engineering
Mathematics
Statistics
Operating system
Optoelectronics
Metadata
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.1038/s41597-023-02827-3
- https://www.nature.com/articles/s41597-023-02827-3.pdf
- OA Status
- gold
- Cited By
- 10
- References
- 238
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4390661959
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W4390661959Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.1038/s41597-023-02827-3Digital Object Identifier
- Title
-
A comprehensive dataset of photonic features on spectral converters for energy harvestingWork title
- Type
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articleOpenAlex work type
- Language
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enPrimary language
- Publication year
-
2024Year of publication
- Publication date
-
2024-01-08Full publication date if available
- Authors
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Rute A. S. Ferreira, Sandra F. H. Correia, Pétia Georgieva, Lianshe Fu, Mário Antunes, Paulo AndréList of authors in order
- Landing page
-
https://doi.org/10.1038/s41597-023-02827-3Publisher landing page
- PDF URL
-
https://www.nature.com/articles/s41597-023-02827-3.pdfDirect link to full text PDF
- Open access
-
YesWhether a free full text is available
- OA status
-
goldOpen access status per OpenAlex
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https://www.nature.com/articles/s41597-023-02827-3.pdfDirect OA link when available
- Concepts
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Computer science, Photovoltaics, Implementation, Iterative and incremental development, Process (computing), Systems engineering, Data science, Solar energy, Photovoltaic system, Photonics, Efficient energy use, Energy harvesting, Energy (signal processing), Software engineering, Engineering, Materials science, Electrical engineering, Mathematics, Statistics, Operating system, OptoelectronicsTop concepts (fields/topics) attached by OpenAlex
- Cited by
-
10Total citation count in OpenAlex
- Citations by year (recent)
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2025: 4, 2024: 6Per-year citation counts (last 5 years)
- References (count)
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238Number of works referenced by this work
- Related works (count)
-
10Other works algorithmically related by OpenAlex
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| institutions_distinct_count | 6 |
| corresponding_institution_ids | https://openalex.org/I141596103, https://openalex.org/I4210120471 |
| sustainable_development_goals[0].id | https://metadata.un.org/sdg/7 |
| sustainable_development_goals[0].score | 0.5600000023841858 |
| sustainable_development_goals[0].display_name | Affordable and clean energy |
| citation_normalized_percentile.value | 0.96738153 |
| citation_normalized_percentile.is_in_top_1_percent | False |
| citation_normalized_percentile.is_in_top_10_percent | True |