Published August 2015 | Version v1
Journal article

Thermal modeling and optimization of a thermally matched energy harvester

  • 1. STMicroelectronics (Crolles 2) SAS, 850 Rue Jean Monnet, F-38926 Crolles Cedex (France)
  • 2. LGEF, INSA Lyon, 8 Rue de la Physique, F-69621 Villeurbanne Cedex (France)
  • 3. ESI-Group, 100-102 Avenue de Suffren, F-75015 Paris (France)
  • 4. CEA Liten, 17 Rue des Martyrs, F-38054 Grenoble Cedex 9 (France)

Description

The interest in energy harvesting devices has grown with the development of wireless sensors requiring small amounts of energy to function. The present article addresses the thermal investigation of a coupled piezoelectric and bimetal-based heat engine. The thermal energy harvester in question converts low-grade heat flows into electrical charges by achieving a two-step conversion mechanism for which the key point is the ability to maintain a significant thermal gradient without any heat sink. Many studies have previously focused on the electrical properties of this innovative device for energy harvesting but until now, no thermal modeling has been able to describe the device specificities or improve its thermal performances. The research reported in this paper focuses on the modeling of the harvester using an equivalent electrical circuit approach. It is shown that the knowledge of the thermal properties inside the device and a good comprehension of its heat exchange with the surrounding play a key role in the optimization procedure. To validate the thermal modeling, finite element analyses as well as experimental measurements on a hot plate were carried out and the techniques were compared. The proposed model provided a practical guideline for improving the generator design to obtain a thermally matched energy harvester that can function over a wide range of hot source temperatures for the same bimetal. A direct application of this study has been implemented on scaled structures to maintain an important temperature difference between the cold surface and the hot reservoir. Using the equations of the thermal model, predictions of the thermal properties were evaluated depending on the scaling factor and solutions for future thermal improvements are presented. (paper)

Availability note (English)

Available from http://dx.doi.org/10.1088/0964-1726/24/8/085025

Additional details

Publishing Information

Journal Title
Smart Materials and Structures (Print)
Journal Volume
24
Journal Issue
8
Journal Page Range
[12 p.]
ISSN
0964-1726