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A comprehensive dataset of photonic features on spectral converters for energy harvesting. | LitMetric

A comprehensive dataset of photonic features on spectral converters for energy harvesting.

Sci Data

Department of Electrical and Computer Engineering and Instituto de Telecomunicações, Instituto Superior Técnico, Universidade de Lisboa, 1049-001, Lisbon, Portugal.

Published: January 2024

AI Article Synopsis

Article Abstract

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 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.

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Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC10774306PMC
http://dx.doi.org/10.1038/s41597-023-02827-3DOI Listing

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