Ms Michelle Farrington, Director of Energy Harvesting Platform Development
Europe 2017 Presentation - Analog Devices*
If you already have access, please [Login]
Access can be purchased via IDTechEx Credits
A self-powered system affords the user tremendous freedom when commissioning a new wireless sensor network. Without the concern for periodic maintenance, sensors can be placed in areas which are impractical or unaffordable to access, opening the door to a new world of sensor system development.
When designing self-powered systems, there are many challenges which must be considered ranging from the design of the generator and its interface to the energy ambient to choosing and dimensioning the storage and finally in optimizing the sensor node itself. The elements of this process will be studied.
Discussions of energy harvesting typically center on either the power generation or the energy conversion side of the energy balance equation, with the power consumption model left out of the conversation. We will review methods to significantly reduce the power consumption of a wireless sensor node, in some cases by an order of magnitude or more. Techniques will be reviewed which go beyond optimizing duty cycle and transmission rates and delve into specific system configurations. With these methods, power levels can be reduced to be compatible with kinetic, thermoelectric and indoor light harvesting.
講演者の経歴 (Michelle Farrington)
Michelle Farrington is responsible for the Energy Harvesting and Wireless Charging strategy at Analog Devices. She has held leadership positions in manufacturing and new product and technology development since joining Analog Devices in 1996. She has a BSEE and an MBA from Northeastern University and an MSEE from the University of Virginia.
会社紹介 (Analog Devices)
View Analog Devices Timeline
Analog Devices designs and manufactures semiconductor products and solutions. ADI sensing, energy harvesting, processing, and connectivity technologies offer best-in-class power efficiency, precision, and reliability to ensure even the most demanding IoT applications are empowered with the right data at the right time, with the right level of accuracy.