DocumentCode :
1945261
Title :
Optimal demand response capacity of automatic lighting control
Author :
Raziei, S.A. ; Mohscnian-Had, H.
Author_Institution :
Dept. of Syst. & Eng. Manage., Univ. of Dayton, Dayton, OH, USA
fYear :
2013
fDate :
24-27 Feb. 2013
Firstpage :
1
Lastpage :
6
Abstract :
Demand response programs seek to adjust the normal consumption patterns of electric power consumers in response to incentive payments that are offered by utility companies to induce lower consumption at peak hours or when the power system reliability is at risk. While prior studies have extensively studied the capacity of offering demand response in buildings by controlling the load at air conditioners, water heaters, and various home appliances, they lack to offer methods to also utilize the full demand response capacity of automatic lighting control systems. Since lighting systems consume a large amount of the total energy used in buildings, addressing this shortcoming is an important research problem. Therefore, in this paper, we propose to take a systematic optimization-based approach to assess demand response capacity of automatic lighting control systems in commercial and office buildings.
Keywords :
building management systems; demand side management; electricity supply industry; lighting control; load regulation; optimisation; power consumption; power system reliability; automatic lighting control system; commercial buildings; electric power consumers; home appliances; incentive payments; load control; normal consumption patterns; office buildings; optimal demand response capacity; power system reliability; systematic optimization-based approach; utility companies; Buildings; Layout; Light sources; Lighting; Lighting control; Load management; Power demand; Demand response; automatic lighting control; commercial and office buildings; convex optimization; dimming control; user comfort;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Innovative Smart Grid Technologies (ISGT), 2013 IEEE PES
Conference_Location :
Washington, DC
Print_ISBN :
978-1-4673-4894-2
Electronic_ISBN :
978-1-4673-4895-9
Type :
conf
DOI :
10.1109/ISGT.2013.6497854
Filename :
6497854
Link To Document :
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