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Optimal Scheduling of Multi-Carrier Energy Networks Considering Liquid Air Energy Storage

Wang, P; Wang, C; Hu, Y; Wang, W; Li, J; Varga, L; Chowdhury, JI; (2018) Optimal Scheduling of Multi-Carrier Energy Networks Considering Liquid Air Energy Storage. In: Yang, Yongping and Sun, Hongbin and Yan, Jingue and Wang, Jianhui, (eds.) Proceedings of the 2018 2nd IEEE Conference on Energy Internet and Energy System Integration (EI2). IEEE: New York, USA. Green open access

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Abstract

Energy storage technologies are crucial to the future integrated energy system (IES) in the context of energy internet (EI). Liquid air energy storage (LAES) technology has been widely researched and implemented in the United Kingdom, since there are no special restrictions on geography compared to other technologies. However, there is little attention on LAES in China. In this paper, a linear programming model for the optimal scheduling of multicarrier energy networks considering LAES is established based on the concept of cryogenic energy hub, that is LAES-HUB. The results show that the daily operation cost of LAES-HUB model is 43735.28 RMB, which is even higher than the energy networks works without LEAS. LAES can achieve load shifting through peak and off-peak operations, providing an auxiliary function for energy balance in multi-carrier energy networks.

Type: Proceedings paper
Title: Optimal Scheduling of Multi-Carrier Energy Networks Considering Liquid Air Energy Storage
Event: 2nd IEEE Conference on Energy Internet and Energy System Integration (EI2), 20-22 October 2018, Beijing, China
Location: Beijing
Dates: 20 October 2018 - 22 October 2018
ISBN-13: 978-1-5386-8550-1
Open access status: An open access version is available from UCL Discovery
DOI: 10.1109/EI2.2018.8582201
Publisher version: https://doi.org/10.1109/EI2.2018.8582201
Language: English
Additional information: This version is the author accepted manuscript. For information on re-use, please refer to the publisher’s terms and conditions.
Keywords: Energy storage, Resistance heating, Cooling, Natural gas, Load modeling, Liquids, Linear programming
UCL classification: UCL
UCL > Provost and Vice Provost Offices
UCL > Provost and Vice Provost Offices > UCL BEAMS
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science > Dept of Civil, Environ and Geomatic Eng
URI: https://discovery.ucl.ac.uk/id/eprint/10066849
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