Modelling and analysis of nuclear reactor system coupled with a liquid metal battery

Journal Article · 03 May 2024 · Journal of Engineering

DOI: https://doi.org/10.1049/tje2.12382 · OSTI ID:2382666

Shigrekar, Amey ^[1]; Peng, Jiangkai ^[2]; Olowu, Temitayo O.  ^[1]; Dias, Fernando Gallego ^[3]; Westover, Tyler ^[1]

---

1. Idaho National Laboratory (INL), Idaho Falls, ID (United States)
2. National Renewable Energy Laboratory (NREL), Golden, CO (United States)
3. Midcontinent Independent System Operator, Inc. Carmel, IN (United States)

Traditionally, nuclear power plants in the U.S. provide baseload power to the power grid because they have less flexibility for ramping their output power than natural gas peaking plants. However, achieving climate goals to reduce the consumption of fossil‐based natural gas places pressure on nuclear power plants and other power generators to ramp up their power output to balance grid generation with demand. This paper presents the modelling and performance analysis of a nuclear reactor system (NRS) coupled to a liquid‐metal battery (LMB) to improve its dynamic response and enable its black start capability. The NRS and LMB thermal behaviour are modelled in Dymola, while the electrical dynamics of the LMB and power grid are modelled in RTDS‐RSCAD. Both simulation platforms are coupled and share their thermal and electrical data using a Transmission Control Protocol/Internet Protocol (TCP/IP) communication protocol. The dynamic performance of the NRS‐LMB integration is tested on the IEEE 9 bus, which demonstrates its ability to respond and provide frequency and voltage regulation. The black start capability of the NRS‐LMB is also evaluated by simulating a grid outage and using the LMB to supply the auxiliary loads required to bring the NRS back online as soon as possible. The results show that coupling an NRS to an LMB improves the system dynamic performance and enables it to black start after being disconnected from the grid for several days.

• Research Organization: Idaho National Laboratory (INL), Idaho Falls, ID (United States)
• Sponsoring Organization: USDOE Laboratory Directed Research and Development (LDRD) Program
• Grant/Contract Number: AC07-05ID14517
• OSTI ID: 2382666
• Report Number(s): INL/JOU--23-70891-Rev000
• Journal Information: Journal of Engineering, Journal Name: Journal of Engineering Journal Issue: 5 Vol. 2024; ISSN 2051-3305
• Publisher: WileyCopyright Statement
• Country of Publication: United States
• Language: English