Computationally Modelling the Use of Nanotechnology to Enhance the Performance of Thermoelectric Materials

The increased focus on global climate change has meant that the thermoelectric market has received considerably more attention. There are many processes producing large amounts of waste heat that can be utilised to generate electrical energy. Thermoelectric devices have long suffered with low effici...

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Main Authors: Peter Spriggs, Qing Wang
Format: Article
Language:English
Published: MDPI AG 2020-09-01
Series:Energies
Subjects:
Online Access:https://www.mdpi.com/1996-1073/13/19/5096
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author Peter Spriggs
Qing Wang
author_facet Peter Spriggs
Qing Wang
author_sort Peter Spriggs
collection DOAJ
description The increased focus on global climate change has meant that the thermoelectric market has received considerably more attention. There are many processes producing large amounts of waste heat that can be utilised to generate electrical energy. Thermoelectric devices have long suffered with low efficiencies, but this can be addressed in principle by improving the performance of the thermoelectric materials these devices are manufactured with. This paper investigates the thermoelectric performance of market standard thermoelectric materials before analysing how this performance can be improved through the adoption of various nanotechnology techniques. This analysis is carried out through the computational simulation of the materials over low-, mid- and high-temperature ranges. In the low-temperature range, through the use of nanopores and full frequency phonon scattering, Mg<sub>0.97</sub>Zn<sub>0.03</sub>Ag<sub>0.9</sub>Sb<sub>0.95</sub> performed best with a <i>ZT</i> value of 1.45 at 433 K. Across the mid-temperature range a potentially industry leading <i>ZT</i> value of 2.08 was reached by AgSbTe<sub>1.85</sub>Se<sub>0.15</sub>. This was carried out by simulating the effect of band engineering and the introduction of dense stacking faults due to the addition of Se into AgSbTe<sub>2</sub>. AgSbTe<sub>1.85</sub>Se<sub>0.15</sub> cannot be implemented in devices operating above 673 K because it degrades too quickly. Therefore, for the top 200 K of the mid-temperature range a PbBi<sub>0.002</sub>Te–15% Ag<sub>2</sub>Te nanocomposite performed best with a maximum <i>ZT</i> of 2.04 at 753 K and maximum efficiency of 23.27 at 813 K. In the high-temperature range, through the doping of hafnium (Hf) the nanostructured FeNb<sub>0.88</sub>Hf<sub>0.12</sub>Sb recorded the highest <i>ZT</i> value of 1.49 at 1273 K. This was closely followed by Fe<sub>1.05</sub>Nb<sub>0.75</sub>Ti<sub>0.25</sub>Sb, which recorded a <i>ZT</i> value of 1.31 at 1133 K. This makes Fe<sub>1.05</sub>Nb<sub>0.75</sub>Ti<sub>0.25</sub>Sb an attractive substitute for FeNb<sub>0.88</sub>Hf<sub>0.12</sub>Sb due to the much lower cost and far greater abundance of titanium (Ti) compared with hafnium.
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spelling doaj.art-8f76b201094449e8b3bb0da954178fe12023-11-20T15:38:33ZengMDPI AGEnergies1996-10732020-09-011319509610.3390/en13195096Computationally Modelling the Use of Nanotechnology to Enhance the Performance of Thermoelectric MaterialsPeter Spriggs0Qing Wang1Department of Engineering, Durham University, Durham DH1 3LE, UKDepartment of Engineering, Durham University, Durham DH1 3LE, UKThe increased focus on global climate change has meant that the thermoelectric market has received considerably more attention. There are many processes producing large amounts of waste heat that can be utilised to generate electrical energy. Thermoelectric devices have long suffered with low efficiencies, but this can be addressed in principle by improving the performance of the thermoelectric materials these devices are manufactured with. This paper investigates the thermoelectric performance of market standard thermoelectric materials before analysing how this performance can be improved through the adoption of various nanotechnology techniques. This analysis is carried out through the computational simulation of the materials over low-, mid- and high-temperature ranges. In the low-temperature range, through the use of nanopores and full frequency phonon scattering, Mg<sub>0.97</sub>Zn<sub>0.03</sub>Ag<sub>0.9</sub>Sb<sub>0.95</sub> performed best with a <i>ZT</i> value of 1.45 at 433 K. Across the mid-temperature range a potentially industry leading <i>ZT</i> value of 2.08 was reached by AgSbTe<sub>1.85</sub>Se<sub>0.15</sub>. This was carried out by simulating the effect of band engineering and the introduction of dense stacking faults due to the addition of Se into AgSbTe<sub>2</sub>. AgSbTe<sub>1.85</sub>Se<sub>0.15</sub> cannot be implemented in devices operating above 673 K because it degrades too quickly. Therefore, for the top 200 K of the mid-temperature range a PbBi<sub>0.002</sub>Te–15% Ag<sub>2</sub>Te nanocomposite performed best with a maximum <i>ZT</i> of 2.04 at 753 K and maximum efficiency of 23.27 at 813 K. In the high-temperature range, through the doping of hafnium (Hf) the nanostructured FeNb<sub>0.88</sub>Hf<sub>0.12</sub>Sb recorded the highest <i>ZT</i> value of 1.49 at 1273 K. This was closely followed by Fe<sub>1.05</sub>Nb<sub>0.75</sub>Ti<sub>0.25</sub>Sb, which recorded a <i>ZT</i> value of 1.31 at 1133 K. This makes Fe<sub>1.05</sub>Nb<sub>0.75</sub>Ti<sub>0.25</sub>Sb an attractive substitute for FeNb<sub>0.88</sub>Hf<sub>0.12</sub>Sb due to the much lower cost and far greater abundance of titanium (Ti) compared with hafnium.https://www.mdpi.com/1996-1073/13/19/5096COMSOLSeebeck coefficientthermoelectric effect<i>ZT</i>
spellingShingle Peter Spriggs
Qing Wang
Computationally Modelling the Use of Nanotechnology to Enhance the Performance of Thermoelectric Materials
Energies
COMSOL
Seebeck coefficient
thermoelectric effect
<i>ZT</i>
title Computationally Modelling the Use of Nanotechnology to Enhance the Performance of Thermoelectric Materials
title_full Computationally Modelling the Use of Nanotechnology to Enhance the Performance of Thermoelectric Materials
title_fullStr Computationally Modelling the Use of Nanotechnology to Enhance the Performance of Thermoelectric Materials
title_full_unstemmed Computationally Modelling the Use of Nanotechnology to Enhance the Performance of Thermoelectric Materials
title_short Computationally Modelling the Use of Nanotechnology to Enhance the Performance of Thermoelectric Materials
title_sort computationally modelling the use of nanotechnology to enhance the performance of thermoelectric materials
topic COMSOL
Seebeck coefficient
thermoelectric effect
<i>ZT</i>
url https://www.mdpi.com/1996-1073/13/19/5096
work_keys_str_mv AT peterspriggs computationallymodellingtheuseofnanotechnologytoenhancetheperformanceofthermoelectricmaterials
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