BitTorrent-inspired management of residential distributed energy resources
Authors
Titus, Matthew C.
ORCID
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Other Contributors
Bequette, B. Wayne
Plawsky, Joel L., 1957-
Chow, J. H. (Joe H.), 1951-
Hahn, Juergen
Plawsky, Joel L., 1957-
Chow, J. H. (Joe H.), 1951-
Hahn, Juergen
Issue Date
2015-12
Keywords
Chemical engineering
Degree
PhD
Terms of Use
This electronic version is a licensed copy owned by Rensselaer Polytechnic Institute, Troy, NY. Copyright of original work retained by author.
Full Citation
Abstract
We also show that hardware that is now commonly available due to the Internet-of- Things revolution can be used to add controllability and intelligence to standard household loads, such as a window air conditioner. Powerful new microcomputers, such as the Raspberry Pi, allow for advanced control algorithms such as model predictive control to be used to operate these connected loads in a truly ‘smart’ manner by interfacing them with real-time electricity pricing, weather forecasting, and wireless sensor networks.
Description
December 2015
School of Engineering
School of Engineering
Department
Dept. of Chemical and Biological Engineering
Publisher
Rensselaer Polytechnic Institute, Troy, NY
Relationships
Rensselaer Theses and Dissertations Online Collection
Access
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