NDLI: A multifunctional demonstration bench for advanced control research in buildings—Monitoring, control, and interface system

Content Provider	IEEE Xplore Digital Library
Author	Futterer, J. Constantin, A. Schmidt, M. Streblow, R. Muller, D. Kosmatopoulos, E.
Copyright Year	2013
Description	Author affiliation: Inst. for Energy Efficient Buildings & Indoor Climate, RWTH Aachen Univ., Aachen, Germany (Futterer, J.; Constantin, A.; Schmidt, M.; Streblow, R.; Muller, D.) \|\| Dept. of Electr. & Comput. Eng., Democritus Univ. of Thrace, Xanthi, Greece (Kosmatopoulos, E.)
Abstract	The authors introduce a multifunctional control research test bench and its data management and interface system. They implemented a building monitoring, control, and interface system (MCIS) used for evaluation of complex building energy systems, for optimization of such energy systems and for carrying out control research experiments. In this paper they explain the MCIS' architecture and functionality, they present its research potential and three different control research use cases for building energy systems and heating, ventilation, and air conditioning (HVAC) systems; model-assisted control parameter fine tuning, model-based predictive control, and demonstration of adaptive control algorithms. The authors outline prerequisites for implementation, demonstration, and evaluation of new developed control algorithms and strategies. These prerequisites are fulfilled via system expansions providing a flexible demonstration bench.
Sponsorship	IEEE Ind. Electron. Soc.
Starting Page	5696
Ending Page	5701
File Size	647538
Page Count	6
File Format	PDF
ISBN	9781479902248
ISSN	1553572X
DOI	10.1109/IECON.2013.6700068
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2013-11-10
Publisher Place	Austria
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Buildings Servers Predictive models Heating Heat pumps Ventilation demonstration Building automation monitoring control strategy advanced control model-based predictive control adaptive control energy data management HVAC control
Content Type	Text
Resource Type	Article

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