Analysis of controls for integrated energy storage system in energy arbitrage configuration with concrete thermal energy storage

Daniel Mikkelson and Konor Frick

Applied Energy, 2022, vol. 313, issue C, No S0306261922002471

Abstract: Integrated energy systems (IES) are continuing to gain research support, as high-level studies indicate that systems integrating nuclear power, energy storage, and renewable sources can reduce carbon emissions and maintain grid stability. This paper details new modeling (written in the Modelica language) capable of dynamically measuring the system-wide feedback of a nuclear power plant (NPP) maneuvering through energy arbitrage. This is accomplished through integration with a thermal energy storage (TES) system via a novel turbomachinery model design that integrates seamlessly with standard fluid network analysis via conservation-law-based analysis. A new control system is implemented to enable the NPP modal operation to meet a 5-day power demand profile generated from Idaho Power Company data. Compared to scaling dispatchable power systems to maximum demand, 20% more power can be generated by using energy arbitrage over this dataset. These detailed physical models provide a novel confirmation of methods previously used to support nuclear IES.

Keywords: Integrated energy system; Energy distribution control; Concrete thermal energy storage; Hybrid repository (search for similar items in EconPapers)
Date: 2022
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (4)

Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0306261922002471
Full text for ScienceDirect subscribers only

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:eee:appene:v:313:y:2022:i:c:s0306261922002471

Ordering information: This journal article can be ordered from
http://www.elsevier.com/wps/find/journaldescription.cws_home/405891/bibliographic
http://www.elsevier. ... 405891/bibliographic

DOI: 10.1016/j.apenergy.2022.118800

Access Statistics for this article

Applied Energy is currently edited by J. Yan

More articles in Applied Energy from Elsevier
Bibliographic data for series maintained by Catherine Liu ().