Identification and iterative learning control for building systems : a data-driven approach

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Authors
Minakais, Matthew
Issue Date
2018-05
Type
Electronic thesis
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Language
ENG
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Electrical engineering
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Abstract
For experimental valuation, we have designed, built, and instrumented a unique test facility. This intelligent building testbed was created to serve as a standardized platform for building modeling and control evaluation. Key features include wireless control and sensing of temperature, humidity, energy, and solar effects; and a modular structure with multiple zones and adjustable thermal and mass coupling. A key feature of this testbed is its placement inside a thermally-controlled enclosure, which can generate repeatable conditions. Simulation and experimental evaluations of the proposed modeling and control methods show improved setpoint tracking.
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May 2018
School of Engineering
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Rensselaer Polytechnic Institute, Troy, NY
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