1. Energy Provision and Storage for Pervasive Computing
David E. Boyle, Michail E.
Kiziroglou, Paul D. Mitcheson, and
Eric M. Yeatman
Imperial College London

2. Main points:
The “energy design space” for pervasive computing is growing.
More methods and tools are needed to navigate this space.
Several factors (e.g., device needs, emerging wireless and battery power technologies) should be considered when developing these methods.

3. Factor #1: There are reasons to consider technologies other than batteries, but batteries won’t become irrelevant.
Emerging alternatives:
Wireless power transfer (inductive and radiative), Ambient energy harvesting (solar, wind, RF, etc…), acoustic energy transfer, mobile charging vehicles....
Remaining need for on-board storage:
The alternative energy sources may fail or be unreliably available.
Buffering of harvested energy
Battery limitations:
Finite energy supply, environmental concerns, inconvenient or impossible replacement, self-discharge…

4. Factor #2: The characteristics and needs of the powered devices will be highly variable.

5. Factor #2: The characteristics and needs of the powered devices will be highly variable.

6. Factor #3: Many new technologies are becoming increasingly viable, each with their own set of strengths, and limitations.
Emphasized in these slides:
Wireless power transfer
Non-radiative and radiative
Ambient energy harvesting

7. Inductive power transfer
Magnetic induction:
A magnetic field is generated by applying alternating current to a coil inside the charger.
Example: Qi wireless charging
The magnetic field can induce voltage across a coil in the charged device, if:
The device is close enough (i.e., within one coil diameter), and,
The device is appropriately aligned with the charger.
Image credit:

8. Resonant inductive coupling
Example: WiTricity (for powering devices and vehicles):
Builds upon magnetic induction, but expands the range (> 4x coil diameter), and allows for charging of multiple devices at once.
Source:

9. Radiative Wireless Power Transfer
Example:Energous
Transmitter embedded below TV
Green battery icons indicate devices that may contain receivers and are within range.
Energy is transferred through electromagnetic waves (for example, RF waves).
Chief advantages:
Charging range on the scale of meters
Receivers may be moving.
Chief disadvantages:
Limits on safe exposure to electromagnetic waves.

10. Ambient energy harvesting
Examples: Sensor nodes powered by Solar energy, or Ambient RF
Sources: J. Xiaofan, J. Polastre, and D. Culler, “Perpetual Environmentally Powered Sensor Networks,” Proc. Fourth Int’l Symp. Information Processing in Sensor Networks (IPSN), 2005, pp. 463–468; Parks, A. N., Sample, A. P., Zhao, Y., & Smith, J. R. (2013, January). A wireless sensing platform utilizing ambient RF energy. In Biomedical Wireless Technologies, Networks, and Sensing Systems (BioWireleSS), 2013 IEEE Topical Conference on (pp ). IEEE.

11. Ambient energy harvesting: Considerations for modeling
Power Density:
Temporal variabililty
Unpredictability
Stressed as an area where new tools are especially needed.
Sources: J. Xiaofan, J. Polastre, and D. Culler, “Perpetual Environmentally Powered Sensor Networks,” Proc. Fourth Int’l Symp. Information Processing in Sensor Networks (IPSN), 2005, pp. 463–468; Parks, A. N., Sample, A. P., Zhao, Y., & Smith, J. R. (2013, January). A wireless sensing platform utilizing ambient RF energy. In Biomedical Wireless Technologies, Networks, and Sensing Systems (BioWireleSS), 2013 IEEE Topical Conference on (pp ). IEEE.

12. Factor #4: On-board storage options include both batteries and supercapacitors.
Batteries: High energy density (can store a lot per unit volume); relatively low power density (low energy transfer rate).
Supercapacitors: Low energy density, high power density

13. Factor #4: Which should be used for pervasive computing?
Batteries: for long lifetime
Supercapacitors: for quick recharging
Hybrid solution: supercapacitors buffering batteries

14. Return to main points:
The “energy design space” for pervasive computing is growing. (Wireless power transfer, ambient energy harvesting…)
More methods and tools are needed to navigate this space. (Especially to deal with variability and unreliability of ambient sources)
Several factors (e.g., device needs, emerging wireless and battery power technologies) should be considered when developing these methods. (Range, safety, reliability of source, energy vs. power density)