DocumentCode
1374241
Title
Energy-Efficient Buildings Facilitated by Microgrid
Author
Guan, Xiaohong ; Xu, Zhanbo ; Jia, Qing-Shan
Author_Institution
SKLMS Lab., Xi´´an Jiaotong Univ., Xi´´an, China
Volume
1
Issue
3
fYear
2010
Firstpage
243
Lastpage
252
Abstract
Recent research shows that 20%-30% of building energy consumption can be saved through optimized operation and management without changing the building structure and the hardware configuration of the energy supply system. Therefore, there is a huge potential for building energy savings through efficient operation. Microgrid technology provides an opportunity and a desirable infrastructure for improving the efficiency of energy consumption in buildings. The key to improve building energy efficiency in operation is to coordinate and optimize the operation of various energy sources and loads. In this paper, the scheduling problem of building energy supplies is considered with the practical background of a low energy building. The objective function is to minimize the overall cost of electricity and natural gas for a building operation over a time horizon while satisfying the energy balance and complicated operating constraints of individual energy supply equipment and devices. The uncertainties are captured and their impact is analyzed by the scenario tree method. Numerical testing is performed with the data of the pilot low energy building. The testing results show that significant energy cost savings can be achieved through integrated scheduling and control of various building energy supply sources. It is very important to fully utilize solar energy and optimize the operation of electrical storage. It is also shown that precooling is a simple way to achieve energy savings.
Keywords
energy conservation; energy consumption; power generation scheduling; electrical storage; energy consumption; energy supply system; microgrid technology; scheduling problem; solar energy utilization; Buildings; Cogeneration; Energy efficiency; Load management; Mixed integer linear programming; Optimal scheduling; Energy saving; integrated building control; mixed integer programming;
fLanguage
English
Journal_Title
Smart Grid, IEEE Transactions on
Publisher
ieee
ISSN
1949-3053
Type
jour
DOI
10.1109/TSG.2010.2083705
Filename
5628267
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