Control systems for a dynamic multi-physics model of a nuclear hybrid energy system

M. Scott Greenwood, David L. Fugate, M. Sacit Cetiner

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

5 Scopus citations

Abstract

A Nuclear Hybrid Energy System (NHES) uses a nuclear reactor as the basic power generation unit, and the power generated is used by multiple customers as combinations of thermal power or electrical power. The definition and architecture of a particular NHES can be adapted based on the needs and opportunities of different localities and markets. For example, locations in need of potable water may be best served by coupling a desalination plant to the NHES. Similarly, a location near oil refineries may have a need for emission-free hydrogen production. Using the flexible, multi-domain capabilities of Modelica, Argonne National Laboratory, Idaho National Laboratory, and Oak Ridge National Laboratory are investigating the dynamics (e.g., thermal hydraulics and electrical generation/consumption) and cost of a hybrid system. This paper examines the NHES work underway, emphasizing the control system developed for individual subsystems and the overall supervisory control system.

Original languageEnglish
Title of host publication10th International Topical Meeting on Nuclear Plant Instrumentation, Control, and Human-Machine Interface Technologies, NPIC and HMIT 2017
PublisherAmerican Nuclear Society
Pages729-741
Number of pages13
ISBN (Electronic)9781510851160
StatePublished - 2017
Externally publishedYes
Event10th International Topical Meeting on Nuclear Plant Instrumentation, Control, and Human-Machine Interface Technologies, NPIC and HMIT 2017 - San Francisco, United States
Duration: Jun 11 2017Jun 15 2017

Publication series

Name10th International Topical Meeting on Nuclear Plant Instrumentation, Control, and Human-Machine Interface Technologies, NPIC and HMIT 2017
Volume2

Conference

Conference10th International Topical Meeting on Nuclear Plant Instrumentation, Control, and Human-Machine Interface Technologies, NPIC and HMIT 2017
Country/TerritoryUnited States
CitySan Francisco
Period06/11/1706/15/17

Keywords

  • Control system
  • Dynamic modeling
  • Modelica
  • Nuclear hybrid energy system

Fingerprint

Dive into the research topics of 'Control systems for a dynamic multi-physics model of a nuclear hybrid energy system'. Together they form a unique fingerprint.

Cite this