Energy Harvesting for Autonomous Systems

Inbunden, Engelska, 2010

1 578 kr

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Beskrivning

This unique resource provides a detailed understanding of the options for harvesting energy from localized, renewable sources to supply power to autonomous wireless systems. Practitioners are introduced to a variety of types of autonomous system and wireless networks and discover the capabilities of existing battery-based solutions, RF solutions, and fuel cells. The book focuses on the most promising harvesting techniques, including solar, kinetic, and thermal energy. Professionals also learn the implications of the energy harvesting techniques on the design of the power management electronics in a system. This in-depth reference discusses each energy harvesting approach in detail, comparing and contrasting its potential in the field.

Produktinformation

Utgivningsdatum:2010-06-30
Format:Inbunden
Språk:Engelska
Antal sidor:292
Förlag:Artech House Publishers
ISBN:9781596937185

Utforska kategorier

Elektronik och kommunikationer inom Naturvetenskap och teknik

Mer om författaren

Steven Beeby is an advanced research fellow at the School of Electronics and Computer Science, University of Southampton. He also the co-author of MEMS Mechanical Sensors (Artech House, 2004) and numerous journal articles and conference papers. He holds an Eng. (Hons) degree in mechanical engineering from the University of Portsmouth, U.K. and a Ph.D. in mechanical Engineering from the University of Southampton. Neil White is head of the Electronics Systems and Devices Group and deputy head of school for enterprise at the School of Electronics and Computer Science, University of Southampton. He also the co-author of MEMS Mechanical Sensors (Artech House, 2004). A fellow of the Institution of Electrical Engineers (IEE) and the Institute of Physics (IOP), as well as a senior member of the IEEE, he earned B.Sc. in electronics engineering at North Staffs Polytechnic and a Ph.D. in sensors at the University of Southampton.

Innehållsförteckning

Introduction. Wireless Devices and Sensor Networks. Photovoltaic Energy Harvesting. Kinetic Energy Harvesting. Thermoelectric Energy Harvesting. Power Management Electronics. Energy Storage. Case Study: Adaptive Energy-Aware Sensor Networks. Concluding Remarks.