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27556 Assessing the potential of residential HVAC systems for demand-side management
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van der Klauw, T. and Hoogsteen, G. and Gerards, M.E.T. and Hurink, J.L. and Feng, Xianyong and Hebner, R.E. (2016) Assessing the potential of residential HVAC systems for demand-side management. In: IEEE Power & Energy Society Innovative Smart Grid Technologies Conference, ISGT 2016, 6-9 Sept 2016, Minneapolis, MN, USA. 107. IEEE Power & Energy Society. ISBN 978-1-5090-5167-0

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This paper investigates the potential of residential heating, ventilation and air conditioning systems to contribute to dynamic demand-side management. Thermal models for seven houses in Austin, Texas are developed with the goal of using them in a planning based demand-side management methodology. The thermal models form the base to determine the flexibility present in these houses with respect to cooling requirements. The linear models are shown to be reasonably accurate when used to predict indoor temperature changes. Furthermore, the resulting prediction errors can be largely attributed to human behavior. The considered thermal models are integrated in a planning-based demand-side management methodology while accounting for such prediction errors. The resulting methodology is capable of flattening the load profile of the considered houses considerably.

Item Type:Conference or Workshop Paper (Full Paper, Poster)
Research Group:EWI-DMMP: Discrete Mathematics and Mathematical Programming, EWI-CAES: Computer Architecture for Embedded Systems
Research Program:CTIT-General
Research Project:Energy-autonomous Smart Micro Grids
Uncontrolled Keywords:Demand-side management, HVAC systems, Residential Control
ID Code:27556
Deposited On:19 January 2017
More Information:statisticsmetis

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