Energy Harvesting for Mobile Computing Joe Paradiso Responsive ...

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Batteries Batteries improve relatively slowly • Can exploit other chemical reactions –Fuel Cells –Microengines • Clever power management and circuit design can reduce power requirements – Low voltage, clock scaling, large feature size, adiabatic computing, analog processing, keep everything off <strong>Energy</strong> harvesting may become practical…
4/04 © MIT-ML iSun – 2 Watts Solar Cells Media Lab’s Locust Position Beacon • 10-20% efficiency <strong>for</strong> commercial modules • Common polycrystalline Si modules are ~16-17% (mass produced, cheap process, a few 1$'s a Watt total) • Monocrystalline Si are a little closer to 20%. • IC grade Si and fab processes, ~24% is possible but expensive. • Stacked multi-junction cells, and cells using other materials and structures get over 30% but are very expensive or still in the lab – 10-100 mW/cm 2 in bright sun – 10-100 μW/cm 2 in an office An option if the light and area are there JAP Franhofer ISE Freiberg 1 Watt under halogen 20% eff. 5
Page 1 and 2: Energy Harvesting for Mobile Comput
Page 3: Smart Sensors and HCI • Electroni
Page 7 and 8: Ambient RF • Power density ~ E2 /
Page 9 and 10: 4/04 © MIT-ML Human Energy Expendi
Page 11 and 12: In Vivo Fuel Cells Adam Heller, UT
Page 13 and 14: Seiko SII Thermic ® Heat-Powered W
Page 15 and 16: The ETA Autoquartz Self-Winding Ele
Page 17 and 18: The Autoquartz Generator Performanc
Page 19 and 20: 4/04 © MIT-ML Seiko Experimental A
Page 21 and 22: MEMs Driven Condensor Power Supply
Page 23 and 24: 4/04 © MIT-ML Microgenerator Perfo
Page 25 and 26: 4/04 © MIT-ML Commercial Microgene
Page 27 and 28: 4/04 © MIT-ML Reaction Force (% of
Page 29 and 30: Application: Batteryless RF Tag •
Page 31 and 32: Better Generator Integration Jeff H
Page 33 and 34: Trevor Baylis’ Electric Shoe Comp
Page 35 and 36: 4/04 © MIT-ML Active Hydraulic Cho
Page 37 and 38: 150 g, 200 mW, 2 Hz Commercial Acti
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Page 41 and 42: 4/04 © MIT-ML The Electric Bolo
Page 43 and 44: 4/04 © MIT-ML Voltage (V) 14 12 10
Page 45 and 46: 4/04 © MIT-ML Power Harvesting - W
Page 47 and 48: Mobility in Sensor Networks • For
Page 49 and 50: 4/04 © MIT-ML Parasitic Mobility R
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Page 53 and 54: 4/04 © MIT-ML Humanity’s Destiny

Energy Harvesting for Mobile Computing Joe Paradiso Responsive ...

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