Zeng, R;
Wang, C;
Cao, Y;
Hu, Y;
(2023)
Day-ahead Scheduling of Integrated Energy System Coupled with Liquid Air Energy Storage System.
In:
2022 4th International Conference on Smart Power and Internet Energy Systems, SPIES 2022.
(pp. pp. 1619-1623).
IEEE: Beijing, China.
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Abstract
This paper implements scheduling optimization on an integrated energy system to utilize waste heat recovered from steel mills. The system includes liquid air energy storage system (LAES), thermal energy storage system (TES), photovoltaic (PV) power generation and thermal and electrical loads. Liquid air energy storage is used to act as electrical energy storage, and waste heat is utilized in the form of superheating the air entering the turbine to increase the round-trip efficiency of the liquid air energy storage system. Through the constructed Mixed-Integer Linear Programming (MILP) model to forecast the day-ahead scheduling scheme of the system components, scheduling results of 4 cases with different power demand are solved to discuss the impact on system cost with and without liquid air energy storage. The results show the utilization of LAES has a positive effect on reducing system costs However, the limitation of LAES' maximum output power and the constraint of thermal balance make the effect of LAES on reducing the total cost of the system limited.
| Type: | Proceedings paper |
|---|---|
| Title: | Day-ahead Scheduling of Integrated Energy System Coupled with Liquid Air Energy Storage System |
| Event: | 2022 4th International Conference on Smart Power & Internet Energy Systems (SPIES) |
| Dates: | 9 Dec 2022 - 12 Dec 2022 |
| ISBN-13: | 9781665489577 |
| Open access status: | An open access version is available from UCL Discovery |
| DOI: | 10.1109/SPIES55999.2022.10081979 |
| Publisher version: | https://doi.org/10.1109/SPIES55999.2022.10081979 |
| 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. |
| UCL classification: | UCL 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/10171438 |
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