Your browser doesn't support javascript.
Self-powered wireless sensing system driven by daily ambient temperature energy harvesting
Applied Energy ; 311:10, 2022.
Article in English | Web of Science | ID: covidwho-1819428
ABSTRACT
This work demonstrates a self-powered wireless IoT sensing system driven by daily ambient temperature energy harvesting. A novel approach using a thermoelectric generator (TEG) which harvests thermal energy from daily ambient temperature fluctuations into electricity as a power source for wireless IoT devices is proposed and investigated. A harvested temperature difference across the TEG is created by employing a phase change material (PCM) which allows the temperature value to be maintained near the melting point at the phase transition during the ambient temperature fluctuations. Experimental results indicated that the harvested temperature differences are 10 degrees C and 5 degrees C for 300 ml and 30 ml of PCM, respectively, during the ambient temperature variations from 5 degrees C to 25 degrees C. By utilizing the ambient temperature fluctuations between day and night times, an average maximum output power of TEG measured for 3 days is 340 mu W and DC-DC electronic conversion efficiency is 28.3%. The total storable energy of approximately 1.46 J for a day is estimated. A capacitor as an energy storage unit could be fully charged and its usable energy is calculated at 0.686 J. The current consumption of 2.1 mu A for every transmit cycle is estimated. A self-powered wireless IoT sensing system driven by realistic ambient temperature variations able to sense the ambient temperature as well as the ambient humidity and transmit to a computer via RF communication is demonstrated successfully.
Keywords

Full text: Available Collection: Databases of international organizations Database: Web of Science Language: English Journal: Applied Energy Year: 2022 Document Type: Article

Similar

MEDLINE

...
LILACS

LIS


Full text: Available Collection: Databases of international organizations Database: Web of Science Language: English Journal: Applied Energy Year: 2022 Document Type: Article