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Maximizing Electric Power through Spectral‐Splitting Photovoltaic‐Thermoelectric Hybrid System Integrated with Radiative Cooling

Authors: Guo, Jiangfeng; Huai, Xiulan;

Maximizing Electric Power through Spectral‐Splitting Photovoltaic‐Thermoelectric Hybrid System Integrated with Radiative Cooling

Abstract

AbstractAs zero‐emission technologies, a daytime radiative cooling (RC) strategy developed recently, and photovoltaic (PV) and thermoelectric (TE) technologies have aroused great interest to reduce fossil fuel consumption and carbon emissions. How to integrate these state‐of‐the‐art technologies to maximise clean electricity from the sun and space remains a huge challenge, and the limit efficiency is still unclear. In this study, a spectral‐splitting PV‐TE hybrid system integrated with RC is proposed to maximise clean electricity from the sun and space without any emissions. For the sun acting as a typical constant heat‐flux heat source, the current thermoelectric theory overestimates the thermoelectric efficiency highly since the theory is based on constant temperature‐difference conditions. A new theory based on heat‐flux conditions is employed to achieve maximum thermoelectric efficiency. The PV‐TE hybrid system with RC is superior to the conventional hybrid system, not only in terms of higher efficiency but also in its 24‐h operation capacity. In a system with a single‐junction cell, the total efficiency with 30 suns (39.4%) is higher than the theoretical PV efficiency at 500 suns (38.2%). In a hybrid system with four‐junction cells, total efficiency is over 65% which is superior to most current photoelectric and thermal power systems.

Country
United Kingdom
Related Organizations
Keywords

concentrated spectral splitting, Science, Q, solar energy, 600, thermoelectric generator, 530, photovoltaic, multi‐junction cells, radiative cooling, Research Articles

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    15
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    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Top 10%
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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citations
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
15
Top 10%
Average
Top 10%
Green
gold