DocumentCode :
2295499
Title :
Optimal scheduling of storage devices for building energy saving
Author :
Xu, Zhanbo ; Jia, Qing-Shan ; Guan, Xiaohong ; Wu, Jiang ; Wang, Dai ; Chen, Siyun
Author_Institution :
SKLMS Lab. & MOEKLINNS Lab., Xi´´an Jiaotong Univ., Xi´´an, China
fYear :
2012
fDate :
6-8 July 2012
Firstpage :
2393
Lastpage :
2398
Abstract :
An intelligent building energy system which has power grid, autonomous generators, renewable energy resources, storage devices, and controllable loads has been proposed. In this paper, we consider an allocation and scheduling problem of electrical and thermal storage devices together with other devices in building energy system to minimize the overall cost while satisfying the occupants demand. The above problem is formulated as a mixed integer programming problem. The CPLEX solver is used to solve the proposed problem. By the proposed method, we can fix the types of storage devices and allocate the capacity of the fixed storage devices with demand profiles and their investment cost. The performance analysis of storage devices is demonstrated using numerical cases.
Keywords :
building management systems; electric generators; energy conservation; energy storage; home automation; integer programming; load (electric); power grids; renewable energy sources; scheduling; CPLEX solver; autonomous generators; building energy saving; capacity allocation; controllable loads; demand profiles; electrical storage devices; intelligent building energy system; investment cost minimization; mixed integer programming problem; occupant demand satisfaction; optimal scheduling; performance analysis; power grid; renewable energy resources; thermal storage devices; Batteries; Buildings; Cooling; Electricity; Ice; Storage tanks; Water heating; building energy saving; mixed integer programming; optimal capacities and types; storage devices;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Intelligent Control and Automation (WCICA), 2012 10th World Congress on
Conference_Location :
Beijing
Print_ISBN :
978-1-4673-1397-1
Type :
conf
DOI :
10.1109/WCICA.2012.6358273
Filename :
6358273
Link To Document :
بازگشت