Optimization of a high-temperature thermoelectric generator using semiconductor devices via a genetic algorithm-driven design
Mehdi Mahdavian, Naruemon Wattanapongsakorn, Ehsan Ganji, Mohammad Torkinia · 2026
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Description
Mehdi Mahdavian and colleagues tune a high-heat power unit with a genetic search rule in a 2026 modelling study. Heat-to-power units turn waste heat straight into power with no moving parts, yet low yield near 5 percent limits uptake. The team modelled silicon-based chip units with a near-steady peak power tracker, then tuned heat, power and shape settings by genetic search.
The tuned design lifted yield and output power a lot over baseline in computer tests, supporting use in factory waste heat recovery and spread-out power making. Results rest on perfect-world guesses such as perfect heat contact and uniform materials, and the authors stress that lab tests must confirm forecasts. Plant teams gain a computer-backed design method, not yet a proven device.
Catalog record
| CREATOR | Mehdi Mahdavian, Naruemon Wattanapongsakorn, Ehsan Ganji, Mohammad Torkinia |
|---|---|
| YEAR | 2026 |
| COLLECTION | PAPERS |
| FORMAT | TXT |
| FILE SIZE | 58 KB |
| VERSION | 1.0 |
| LICENSE | CC BY 4.0 |
| RIGHTS | CC BY |
| SOURCE | Europe PMC |