Harvesting energy for the Internet of Things is the primary challenge that engineers of today face. Through this presentation we bring to you two models of sensors that use piezoelectric energy harvesting to generate the required power.
Self-generating devices can truly make the Internet of Things a reality.
5. SOLUTION: PIEZOELECTRICITY
• Converting Vibrational Energy to Electrical Energy
• Electrostatic
• Electromagnetic
• Piezoelectric [1]
• What is piezoelectricity? [3]
• Piezoelectric Materials [1]
6. ENERGY HARVESTING CIRCUIT FOR WIRELESS
SENSOR NODE
• Piezoelectric Element
• Energy Conditioning
Unit
• Energy Storage Unit
• Energy Management
Unit
• Wireless Sensor Node
[2]
7. ENERGY HARVESTING CIRCUIT FOR WIRELESS
SENSOR NODE
• What are wireless sensors?
• Areas of application
• Challenges solved by this
model [2]
8. ENERGY HARVESTING CIRCUIT FOR SMART DUST
SENSOR
Specification of V20W
• Frequency Range (Hz) 75 – 175
• Harvesting Bandwidth (Hz) 3
• Device Size (in) 2.00 X 1.00 X
0.03
• Device Weight (oz) 0.28
• Active Elements 1 stack of 2 piezos
• Piezo Wafer Size (in) 1.81 X 1.31
X 0.01
• Device Capacitance (uF) 0.2
•Resonance Frequency -115.4 Hz
[1]
10. CONCLUSION
• The energy supply system can improve
the harvested power within the wide
bands. At last, the energy supply
system can output the constant voltage
through the energy management unit to
power the wireless sensor node. [2]
11. CONCLUSION
• One practical application on self-
powered wireless smart dust temperature
sensor network was designed and
implemented and the prototype system
has an energy efficiency of 73.8% and is
capable of transmitting data packets
successfully without any external power
supply. [1]
12. CITATIONS
[1] Yee Win Shwe and Yung C. Liang, ‘Smart Dust Sensor Network with Piezoelectric
Energy Harvesting’, The 6th International Conference on Information Technology and
Applications (ICITA 2009)
[2] Guoqiang Zheng, Liwei Zhang, and Jishun Li, ‘An Energy Supply System for
Wireless Sensor Network Nodes’, International Journal of Distributed Sensor
Networks Volume 2012, Article ID 603709
[3] Stephen Evanczuk, ‘Powering the Internet of Things From Ambient Sources’, Digi-Key
corporation, Tech-zone October 2013