Friday, 02 December 2022 12h00

Powering the Internet of Things from Ambient Vibrations

In-person event – venue MSG-024/25, Bernal Institute.

Tea/Coffee available in MSSi Social Space from 11h45

ABSTRACT

Most of the conventional wireless sensor nodes that form the Internet of Things (IoT) are currently battery powered, and routine battery replacement is required that incurs high maintenance costs and negative environmental impact. This problem can be tackled using energy harvesting techniques, which convert ambient energy to useable electrical power. Among all the different sources, kinetic energy, available from ambient vibration, can be used to power sensors for industrial or transportation IoT applications. At Stokes Laboratories, we have developed a vibrational energy harvester that can convert the vibrations of industrial machinery, such as compressors, to indefinitely power sensor devices for the IoT without the need of batteries. To demonstrate that kinetic energy can be used to energise wireless sensors, our harvester has been tested with the vibrations of a real industrial
compressor and the system provides enough energy to receive and transmit data using common communications protocols

ABOUT THE PRESENTER

Dr Valeria Nico is a postdoctoral researcher in the Bernal Institute and an associated investigator in the SFI CONNECT Centre. She received a Bachelor’s degree and a Master’s degree from the Physics Department of the University of Perugia, Italy in 2011 and 2013, respectively. In 2018 she was awarded a PhD in vibrational energy harvesting from the University of Limerick under the supervision of Professor Jeff Punch and in 2019 she was awarded a Graduate Diploma in Teaching, Learning and Scholarship from the University of Limerick. Her research interests encompass the design, modelling and characterisation of electromagnetic devices for vibrational energy harvesting and for fluidic control systems. Dr Nico has experience in the use of advance experimental techniques such as high-speed imaging and higher order spectral analysis for investigating nonlinear dynamics and she has experience in modelling electromagnetic devices both using numerical and finite element analysis methods. To date she has supervised 4 Masters students to completion.

For further information, please contact: edmond.magner@ul.ie