[논문]Performance Analysis and Comparison on Energy Storage Devices for Smart Building Energy Management

Zhanbo Xu; Xiaohong Guan; Qing-Shan Jia; Jiang Wu; Dai Wang; Siyun Chen

doi:10.1109/TSG.2012.2218836

Performance Analysis and Comparison on Energy Storage Devices for Smart Building Energy Management

IEEE transactions on smart grid, v.3 no.4, 2012년, pp.2136 - 2147

Zhanbo Xu (Moe Klinns Lab., Xi'an Jiaotong Univ., Xi'an, China) , Xiaohong Guan (Moe Klinns Lab., Xi'an Jiaotong Univ., Xi'an, China) , Qing-Shan Jia (Dept. of Autom., Tsinghua Univ., Beijing, China) , Jiang Wu (Moe Klinns Lab., Xi'an Jiaotong Univ., Xi'an, China) , Dai Wang (Moe Klinns Lab., Xi'an Jiaotong Univ., Xi'an, China) , Siyun Chen (Moe Klinns Lab., Xi'an Jiaotong Univ., Xi'an, China)

Abstract ▼ AI-Helper

A smart building energy system usually contains multiple energy sources such as power grids, autonomous generators, renewable resources, storage devices, and schedulable loads. Storage devices such as batteries, ice/heat storage units, and water tanks play an important role in reducing energy cost in building energy systems since they can help sufficiently utilize renewable energy resources and time-of-use electricity prices. It is important to plan, schedule, and coordinate all the storage devices together with schedulable loads in a building facilitated by microgrid technology. To consider the above problem with uncertainties in solar radiation and demand profiles, a stochastic optimization problem is formulated and solved by the scenario tree method. The best combination and the optimal capacities of storage devices for specific building energy systems are then determined. Furthermore, the optimal operating strategy of building energy systems can be obtained. The performance analysis on the storage devices is conducted and the numerical results show that thermal storage devices (e.g., ice storage units, water tanks) are good for saving energy costs but batteries may not be economical due to their high investment cost and short lifetime. It is also observed that the aforementioned uncertainties have an impact on selecting which type and capacity of storage device should be used.

참고문헌 (18)

Distributed Generation with Heat Recovery and Storage siddiqui 2005
Simulation of quasi-steady state model for BCHP system lai 2009
10.1109/COBEP.2009.5347680
ILOG CPLEX 12 1 User's Manual 0
Jianhui Wang, Shahidehpour, M., Zuyi Li. Security-Constrained Unit Commitment With Volatile Wind Power Generation. IEEE transactions on power systems : a publication of the Power Engineering Society, vol.23, no.3, 1319-1327.

상세보기
Høyland, Kjetil, Wallace, Stein W.. Generating Scenario Trees for Multistage Decision Problems. Management science, vol.47, no.2, 295-307.

상세보기
DeST Software 2008
Development Unit of DeST in Tsinghua University Building Energy Efficiency Technology and Application in Chin 2007
Website of China National Development and Reform Commission 0
Proc 6th Annu IEEE Conf Autom Sci Eng An integrated control of shading blinds, natural ventilation, and HVAC systems for energy saving and human comfort sun 2010
ASHRAE A comparison of chiller-priority storage-priority, and optimal control of an ice-storage system braun 1992
10.1109/PES.2009.5275358
Proc eSim2002 Building Simul Conf Investigation of lighting, daylighting and shading design options for new Concordia University engineering building tzempelikos 2002 177
Marnay, C., Venkataramanan, G., Stadler, M., Siddiqui, A.S., Firestone, R., Chandran, B.. Optimal Technology Selection and Operation of Commercial-Building Microgrids. IEEE transactions on power systems : a publication of the Power Engineering Society, vol.23, no.3, 975-982.

상세보기
Xiaohong Guan, Zhanbo Xu, Qing-Shan Jia. Energy-Efficient Buildings Facilitated by Microgrid. IEEE transactions on smart grid, vol.1, no.3, 243-252.

상세보기
HV&AC Ice storage system design based on cooling load of design period li 2007 37 83
The Impact of Climate Change on the Energy Use of the US Residential and Commercial Building Sector huang 2006
siddiqui 0

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Performance Analysis and Comparison on Energy Storage Devices for Smart Building Energy Management

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