Harvesting Energy for the Internet of Things
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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.
![IOT CHALLENGES: ENERGY
• What is IoT? [3]
• Applications [3]
• Zero Power Smart Devices [3]
• UX in IoT [3]](data:image/gif;base64,R0lGODlhAQABAIAAAAAAAP///yH5BAEAAAAALAAAAAABAAEAAAIBRAA7)
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Harvesting Energy for the Internet of Things
- 1. HARVESTING ENERGY FOR INTERNET OF THINGS D018 AMALA PUTREVU D055 SAMEEKSHA TRIVEDI
- 2. IOT CHALLENGES: ENERGY • What is IoT? [3] • Applications [3] • Zero Power Smart Devices [3] • UX in IoT [3]
- 3. WIRELESS SENSOR • Sensor Node[3] • Microcontroller[3]
- 4. ENERGY HARVESTING SYSTEM • Energy Harvesting Unit • Energy Storage Unit • Piezolelectric Devices [3]
- 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]
- 9. ENERGY HARVESTING CIRCUIT FOR SMART DUST SENSOR [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