Szczegóły publikacji
Opis bibliograficzny
Modeling and implementation of TEG-based energy harvesting system for steam sterilization surveillance sensor node / Mateusz DANIOŁ, Łukasz BÖHLER, Ryszard SROKA, Anton Keller // Sensors [Dokument elektroniczny]. — Czasopismo elektroniczne ; ISSN 1424-8220. — 2020 — vol. 20 iss. 21 art. no. 6338, s. 1–14. — Wymagania systemowe: Adobe Reader. — Bibliogr. s. 12–14, Abstr. — Publikacja dostępna online od: 2020-11-06
Autorzy (4)
- AGHDanioł Mateusz
- AGHBöhler Lukas
- AGHSroka Ryszard
- Keller Anton
Słowa kluczowe
Dane bibliometryczne
| ID BaDAP | 130974 |
|---|---|
| Data dodania do BaDAP | 2020-11-12 |
| Tekst źródłowy | URL |
| DOI | 10.3390/s20216338 |
| Rok publikacji | 2020 |
| Typ publikacji | artykuł w czasopiśmie |
| Otwarty dostęp |  |
| Creative Commons | |
| Czasopismo/seria | Sensors |
Abstract
The aim of this work is a proof of concept, that medical Internet of Things (IoT) sterilizationsurveillance sensors can be powered by using the heat during a steam sterilization procedure. Hereby,the focus was on the use of thermo-electrical generators (TEG) to generate enough power for anultra-low-power sensor application. Power generation requirement of the sensor was 1.6 mW overthe single sterilization cycle. The thermal gradient across the TEG has been achieved using a highlyefficient aerogel-foam-based thermal insulation, shielding a heat storage unit (HSU), connected toone side of the TEG. The evaluation of the developed system was carried out with thermal andelectrical simulations based on the parameters extracted from the TEG manufacturer’s datasheet.The developed model has been validated with a real prototype using the thermal step responsemethod. It was important for the authors to focus on rapid-prototyping and using off-the-shelfdevices and materials. Based on comparison with the physical prototype, the SPICE model wasadjusted. With a thermal gradient of 12◦C, the simulated model generated over 2 mW of power.The results show that a significant power generation with this system is possible and usable for sensorapplications in medial IoT.
