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Distributed Generation with Energy Storage Systems: A Case Study

Zhang, Xinjing, Chen, Haishen, Xu, Yujie, Li, Wen, He, Fengjuan, Guo, Huan and Huang, Ye (2017) Distributed Generation with Energy Storage Systems: A Case Study. Applied Energy, NA . NA. [Journal article]

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URL: http://www.sciencedirect.com/science/article/pii/S030626191730524X

DOI: 10.1016/j.apenergy.2017.05.063

Abstract

Due to its relatively high efficiency, Distributed Generation (DG) is widely used to supply energy sources (generally power, heating and cooling) for on-site needs. This, however, presents a challenge to deal with an abrupt increase of electricity demand. To satisfy 100% of electricity demand with a high level dynamic performance energy storage is one of the most promising options for the DG system. In this study a hybrid DG system integrated with Compressed Air Energy Storage (CAES) and Thermal Energy Storage (TES) is proposed. Coupled with energy storage the DG system can perform a ‘peak shaving’ function and maintain the power output requirement properly, resulting in a lower core engine power rating and better process efficiency. To carry out technical evaluation the process flow chart is created and process models are developed. The results of simulation are also validated by IET’s CAES experimental data. The results reveal that the hybrid system’s exergy efficiency is 41.5%, and the primary fuel saving ratio is 23.13%. The CAES expander system is operated in a sliding pressure mode, satisfying various load profiles while its exergy efficiency for one day cycle is 64.7%. Compared with conventional DG system, within the hybrid system the core engine size can be downgraded by 35.3%, the fuel saving ratio is 11.06%.

Item Type:Journal article
Keywords:Distributed generation; Energy storage; Simulation and experiment; Fuel saving; Exergy efficiency
Faculties and Schools:Faculty of Art, Design and the Built Environment
Faculty of Art, Design and the Built Environment > School of the Built Environment
Research Institutes and Groups:Built Environment Research Institute > Centre for Sustainable Technologies (CST)
Built Environment Research Institute
ID Code:38097
Deposited By: Dr Ye Huang
Deposited On:22 Jun 2017 08:25
Last Modified:17 Oct 2017 16:30

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