Alongside alternative clean energy sources, energy recovery and conversion will play an important role in addressing future technologies, especially for autonomous devices. Thermoelectric devices that convert temperature gradients into electric power and vice versa have been actively investigated with the aim of enhancing existing technologies for heat/power recovery and conversion.
They are reliable, non-polluting, require minimal maintenance, and can be operated over a wide range of temperatures. If it were not for its currently low efficiency, thermoelectric energy conversion could revolutionary replace thermomechanical conversion in many applications. The performance of thermoelectric materials is expressed by the dimensionless figure-of-merit, zT, which is about 1.2 for materials currently used in thermoelectric devices. For wide adoption, the zT needs to reach a value of 3, a goal that has been pursued for over 50 years. Recent record zT values approaching 2 are driven in part by nanocrystals self-precipitated in bulk, even though control and understanding of nanocrystal formation remain elusive in these systems.
This project aims at significantly increasing zT values of thermoelectrics by nanostructuring thermoelectric materials into nanocrystal solids that can offer high electrical conductivity while dramatically lowering the thermal conductivity. We propose an approach for creating completely new high-zT thermoelectrics via bottom-up assembly of thermoelectric nanocrystals.
|Title||Unconventional Thermoelectrics Based on Self-Organized Binary Nanocrystal Superlatices|
|Leading Institution||Laboratório Ibérico Internacional de Nanotecnologias (INL)|
|Participating Institutions||The University of Austin at Texas (UT Austin)
Universidade do Minho (UM)
|Begin date||1st November, 2018|
|Key Words||Self-assembly, Nanocrystal superlatices, Nanostructured thermoelectrics, Transport properties|
"We are leveraging interdisciplinary expertise from INL, UT Austin and UMinho in nanocrystal synthesis and assembly, computational modelling, and transport properties measurements to discover thermoelectric materials with enhanced efficiency, which will serve as the enabling step towards the next generation of thermoelectrics."