READ ME File For 'Dataset supporting the journal article  'Comprehensive analysis of radiative cooling 
enabled thermoelectric energy harvesting''.

Dataset DOI: 10.5258/SOTON/D2589

Date that the file was created: April 2023

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GENERAL INFORMATION
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ReadMe Author: Yuxiao Zhu, University of Southampton 

Date of data collection: 2022-2023

Information about geographic location of data collection: Southampton UK, London UK, Singapore


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SHARING/ACCESS INFORMATION
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Licenses/restrictions placed on the data, or limitations of reuse:CC-BY

Recommended citation for the data:

This dataset supports the publication:
Y Zhu et all (2023) Comprehensive analysis of radiative cooling enabled thermoelectric energy harvesting,
Journal of Physics: Photonics, Volume 5, Number 2, 025002, DOI 10.1088/2515-7647/accac1




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DATA & FILE OVERVIEW
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This dataset contains:

The excel file contains raw data for the paper. The detailed description are below: 

Fig. 1 Schematic and temperature-dependent material properties of the N-type and P-type thermoelectric materials used in our RC-TEG model. (a) schematic, (b) Electrical conductivity, (c) Thermal conductivity, (d) Seebeck coefficient, and (e) ZT.

Fig. 2 Temperature profile of the RC-TEG under typical working conditions. (a) exposed radiative surface (b) shielded counter surface. The dots represent the locations where the average temperature readings are used to define Tc and Th. (c) The temperature distribution at the cutlines in (a) and (b).

Fig. 3 FEM simulation performance of RC-TEG under various top surface convection (ConvT) and bottom surface convection (ConvB) conditions. (a) Top and (b) bottom surface temperature, (c) The temperature difference between the top and bottom surface (ΔT), (d) the power density (PDmax),. Other simulation parameters were fixed at WCooler = 80 mm, WTE = 5 mm, HTE = 10 mm, and Pitch = 40 mm.

Fig. 4 Performance of RC-TEG obtained in COMSOL simulation as a function of atmosphere emissivity (a) Temperature difference (ΔT) and (b) Power density (PDmax). Other simulation parameters were fixed at WCooler = 80 mm, WTE = 5 mm, HTE = 10 mm, and Pitch = 40 mm.

Fig. 5 Performance of RC-TEG as a function of emissivity in the solar and thermal IR spectrum. (a) Temperature difference (ΔT) (b) Power density (PDmax) obtained from COMSOL simulation as a function of 8-13µm (ε8-13μm) and 0.3-2.5µm (ε0.3-2.5μm) surface emissivity. Other simulation parameters were fixed at WCooler = 80mm, WTE = 5mm, HTE = 10mm, and Pitch = 40mm.

Fig. 6 (a) Temperature difference, (b) Power (Pmax), (c) Power density (PDmax) obtained from COMSOL simulation as a function of pitch and WCooler. (d) Optimised power density of WCooler on different pitches. Other simulation parameters were fixed at WTE = 5 mm and HTE = 10 mm

Fig. 7 (a) Temperature difference, (b) PDmax obtained from COMSOL simulation as a function of HTE and WTE. Other simulation parameters were fixed at WCooler = 120 mm and Pitch = 40 mm.

Fig. 8 (a) Real-time temperature and (b) solar irradiance of London on 1st July 2021, 11th January 2021, Singapore on 1st July 2021, and 1st January 2021. (c) Temperature difference, (d) power density (PDmax) obtained from real-time data simulation. Other simulation parameters were fixed at WCooler = 80 mm, WTE = 5 mm, HTE = 10 mm, and Pitch = 40 mm. Data obtained from Prediction Of Worldwide Energy Resources (POWER NASA).