DocumentCode
3169562
Title
Green scheduling for radiant systems in buildings
Author
Nghiem, Truong X. ; Behl, Madhur ; Pappas, G.J. ; Mangharam, Rahul
Author_Institution
Dept. of Electr. & Syst. Eng., Univ. of Pennsylvania, Philadelphia, PA, USA
fYear
2012
fDate
10-13 Dec. 2012
Firstpage
7577
Lastpage
7582
Abstract
In this paper we look at the problem of peak power reduction for buildings with electric radiant floor heating systems. Uncoordinated operation of a multi-zone radiant floor heating system can result in temporally correlated electricity demand surges or peaks in the building´s electricity consumption. As peak power prices are 200-400 times that of the nominal rate, this uncoordinated activity can result in high electricity costs and expensive system operation. We have previously presented green scheduling as an approach for reducing the aggregate peak power consumption in buildings while ensuring that indoor thermal comfort is always maintained. This paper extends the theoretical results for general affine dynamical systems and applies them to electric radiant floor heating systems. The potential of the proposed method in reducing the peak power demand is demonstrated for a small-scale system through simulation in EnergyPlus and for a large-scale system through simulation in Matlab.
Keywords
building management systems; power consumption; pricing; scheduling; space heating; Matlab simulation; building electric radiant floor heating systems; building electricity consumption; general affine dynamical systems; green scheduling approach; high electricity costs; indoor thermal comfort; large-scale system; multizone radiant floor heating system; peak power consumption; peak power prices; peak power reduction; small-scale system; temporally correlated electricity demand surges; Atmospheric modeling; Buildings; Electricity; Green products; Heating; Mathematical model; Schedules;
fLanguage
English
Publisher
ieee
Conference_Titel
Decision and Control (CDC), 2012 IEEE 51st Annual Conference on
Conference_Location
Maui, HI
ISSN
0743-1546
Print_ISBN
978-1-4673-2065-8
Electronic_ISBN
0743-1546
Type
conf
DOI
10.1109/CDC.2012.6426318
Filename
6426318
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