NDLI: Methodology for deploying model based control concepts for load shaping in the non-residential building sector

Content Provider	IEEE Xplore Digital Library
Author	Ferhatbegovic, T. Hauer, S. Zucker, G.
Copyright Year	2013
Description	Author affiliation: Energy Dept., Austrian Inst. of Technol., Vienna, Austria (Ferhatbegovic, T.; Hauer, S.; Zucker, G.)
Abstract	The increasing world population has led to a significant increase of energy consumption in the building sector in recent years. Reasons are manifold. They mainly include increased thermal comfort requirements for the building occupants. Higher thermal comfort implies higher needs for the buildings' heating, ventilation and air-conditioning (HVAC) systems at their peak levels. This operation eventually entails the risk of load peaks, which increases risks for electric black-outs. Demand side management (DSM) is an established concept for buildings, which includes the optimal shifting of potential loads to time periods such that peak loads can be prevented effectively. The concept thus provides that electric and thermal storage potentials are exploited adequately. Further development should enforce the use of renewable energy sources, which offers another possibility to efficiently reduce the risks of potential load peaks. Mathematical modeling of HVAC systems is an established approach to understand the system behavior and to trigger plans and strategies on how to tackle the HVAC system controls in order to recognize potentials and consequently perform efficient load shifting in an automated way. Model based control concepts endorse the systematic and transparent approach towards automated load shifting. This paper presents the methodology for the design of a model based predictive control concept for load shifting in the non-residential building sector. The methodology includes the mathematical modeling of the HVAC systems and the loads of a passive house standard non-residential building. The concept for the model based predictive controller is developed upon a simplification of the plant model.
Sponsorship	IEEE Ind. Electron. Soc.
Starting Page	5735
Ending Page	5740
File Size	758031
Page Count	6
File Format	PDF
ISBN	9781479902248
ISSN	1553572X
DOI	10.1109/IECON.2013.6700074
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	Analytical models Concrete Heating Cooling Load modeling
Content Type	Text
Resource Type	Article

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4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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