Published January 15, 2017 | Version v1
Journal article

Optimized spectral splitting in thermo-photovoltaic system for maximum conversion efficiency

Description

Frequency conversion of the solar spectrum in thermo-photovoltaic systems improves the sunlight conversion efficiency by two means: moving the photovoltaic conversion to a different spectrum with better response, and the ability to recycle the frequency converted photons that exhibit insufficient conversion efficiency. In this work a theoretical optimization of the thermo-photovoltaic system was attempted in order to reach maximum conversion efficiency by an optimal choice of the emitter's operating temperature and the pass band wavelengths of the optical filter that is used to reflect the inefficient frequency converted photons back to the absorber-emitter unit to be recycled. We report that our optimization model, which accounts for the power leakage from the recycling process and the thermalization losses that associate the photovoltaic conversion, predicts for promising conversion efficiencies of sunlight to electricity which is as high as 44.3% for a thermo-photovoltaic system that employs absorber-emitter unit with 70% photon recycling efficiency and photovoltaic cell with 1.6 μm cutoff wavelength and is optimized at emitter's temperature of 3045 K and optical filter passband of (0.626–1.6 μm). - Highlights: • The Optimized thermo-photovoltaic was found promising to produce electricity. • Optimized thermo-photovoltaic could potentially solves the cost-efficiency problem of producing electricity from sunlight. • Optimal spectral control leads to efficient photon management in TPV system.

Availability note (English)

Available from http://dx.doi.org/10.1016/j.energy.2016.11.055

Additional details

Identifiers

DOI
10.1016/j.energy.2016.11.055;
PII
S0360-5442(16)31660-7;

Publishing Information

Journal Title
Energy (Oxford)
Journal Volume
119
Journal Page Range
p. 852-859
ISSN
0360-5442
CODEN
ENEYDS

Optional Information

Copyright
Copyright (c) 2016 Elsevier Science B.V., Amsterdam, The Netherlands, All rights reserved.