Empirical Thermophotovoltaic Performance Predictions and Limits
Titilope M. Dada, Calvin M. Mestelle, Daniel J. Friedman, Myles A. Steiner, and Eric J. Tervo

TL;DR
This paper presents an empirical model for predicting thermophotovoltaic performance across various temperatures and materials, highlighting the importance of electrical losses and system parameters in optimizing efficiency.
Contribution
It introduces a validated empirical model that accurately predicts TPV performance and identifies key factors affecting efficiency and optimal bandgap selection.
Findings
Model shows excellent agreement with experimental data
Electrical losses significantly impact efficiency predictions
Optimal bandgap energies vary with emitter temperature and cell quality
Abstract
Significant progress has been made in the field of thermophotovoltaics, with efficiency recently rising to over 40% due to improvements in cell design and material quality, higher emitter temperatures, and better spectral management. However, inconsistencies in trends for efficiency with semiconductor bandgap energy across various temperatures pose challenges in predicting optimal bandgaps or expected performance for different applications. To address these issues, here we present realistic performance predictions for various types of single-junction cells over a broad range of emitter temperatures using an empirical model based on past cell measurements. Our model is validated using data from different authors with various bandgaps and emitter temperatures, and an excellent agreement is seen between the model and the experimental data. Using our model, we show that in addition to…
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Taxonomy
TopicsThermal Radiation and Cooling Technologies · solar cell performance optimization · Atmospheric Ozone and Climate
