Performance and environmental impact analysis of thermoelectric generators through material selection and geometry optimization DOI Open Access
Abdelhak Lekbir, Saad Mekhilef, Kok Soon Tey

et al.

Energy Materials, Journal Year: 2025, Volume and Issue: 5(8)

Published: May 14, 2025

This study evaluates the performance and environmental impact of thermoelectric generators (TEGs) by analyzing various materials system geometries. A comprehensive life cycle assessment is conducted to quantify embodied energy carbon emissions associated with different materials. The employs particle swarm optimization optimize TEG geometry, aiming enhance power output while minimizing impact. results demonstrate that material selection significantly influences both conversion efficiency sustainability. Specifically, PbTe-based TEGs achieve highest output, whereas SiGe-based modules exhibit footprint. Through optimization, an 80% increase in achieved for certain configurations, alongside a reduction CO2 emissions. Key findings highlight as most efficient converters, Bi2Te3-based strike balance between In contrast, have footprint due their high energy. Additionally, reveals optimizing number thermocouples leg dimensions improves reduces These provide valuable insights designing next-generation systems effectively responsibility.

Language: Английский

Metavalent alloying and vacancy engineering enable state-of-the-art cubic GeSe thermoelectrics DOI Creative Commons
Haoran Luo, Xiao‐Lei Shi, Yongqiang Liu

et al.

Nature Communications, Journal Year: 2025, Volume and Issue: 16(1)

Published: April 1, 2025

Language: Английский

Citations

0
Performance and environmental impact analysis of thermoelectric generators through material selection and geometry optimization DOI Open Access
Abdelhak Lekbir, Saad Mekhilef, Kok Soon Tey

et al.

Energy Materials, Journal Year: 2025, Volume and Issue: 5(8)

Published: May 14, 2025

This study evaluates the performance and environmental impact of thermoelectric generators (TEGs) by analyzing various materials system geometries. A comprehensive life cycle assessment is conducted to quantify embodied energy carbon emissions associated with different materials. The employs particle swarm optimization optimize TEG geometry, aiming enhance power output while minimizing impact. results demonstrate that material selection significantly influences both conversion efficiency sustainability. Specifically, PbTe-based TEGs achieve highest output, whereas SiGe-based modules exhibit footprint. Through optimization, an 80% increase in achieved for certain configurations, alongside a reduction CO2 emissions. Key findings highlight as most efficient converters, Bi2Te3-based strike balance between In contrast, have footprint due their high energy. Additionally, reveals optimizing number thermocouples leg dimensions improves reduces These provide valuable insights designing next-generation systems effectively responsibility.

Language: Английский

Citations

0