skip to main content
OSTI.GOV title logo U.S. Department of Energy
Office of Scientific and Technical Information

Title: Intelligent distributed control for nuclear power plants. Final (third annual) technical progress report, September 1991--June 1993 (September 1989--June 1993): Includes no-cost extension period from September 1992--June 1993

Abstract

This project was initiated in September 1989 as a three year project to develop and demonstrate Intelligent Distributed Control (IDC) for Nuclear Power Plants. There were two primary goals of this research project. The first goal was to combine diagnostics and control to achieve a highly automated power plant as described by M.A. Schultz. The second goal was to apply this research to develop a prototype demonstration on an actual power plant system, the EBR-2 steam plant. Described in this Final (Third Annual) Technical Progress Report is the accomplishment of the project`s final milestone, an in-plant intelligent control experiment conducted on April 1, 1993. The development of the experiment included: simulation validation, experiment formulation and final programming, procedure development and approval, and experimental results. Other third year developments summarized in this report are: (1) a theoretical foundation for Reconfigurable Hybrid Supervisory Control, (2) a steam plant diagnostic system, (3) control console design tools and (4) other advanced and intelligent control.

Authors:
Publication Date:
Research Org.:
Pennsylvania State Univ., University Park, PA (United States). Coll. of Engineering
Sponsoring Org.:
USDOE, Washington, DC (United States)
OSTI Identifier:
10118397
Report Number(s):
DOE/ER/12889-18
ON: DE94005856; BR: KE0103000/KV0200000; TRN: 94:002307
DOE Contract Number:
FG02-89ER12889
Resource Type:
Technical Report
Resource Relation:
Other Information: PBD: [1993]
Country of Publication:
United States
Language:
English
Subject:
22 GENERAL STUDIES OF NUCLEAR REACTORS; NUCLEAR POWER PLANTS; REACTOR CONTROL SYSTEMS; EBR-2 REACTOR; RESEARCH PROGRAMS; ARTIFICIAL INTELLIGENCE; COMPUTERIZED CONTROL SYSTEMS; DIAGNOSTIC TECHNIQUES; DEMONSTRATION PROGRAMS; CONSOLES; REACTOR SIMULATORS; PROGRESS REPORT; 220400; 220600; CONTROL SYSTEMS; RESEARCH, TEST, TRAINING, PRODUCTION, IRRADIATION, MATERIALS TESTING REACTORS

Citation Formats

Klevans, E.H. Intelligent distributed control for nuclear power plants. Final (third annual) technical progress report, September 1991--June 1993 (September 1989--June 1993): Includes no-cost extension period from September 1992--June 1993. United States: N. p., 1993. Web. doi:10.2172/10118397.
Copy to clipboard
Klevans, E.H. Intelligent distributed control for nuclear power plants. Final (third annual) technical progress report, September 1991--June 1993 (September 1989--June 1993): Includes no-cost extension period from September 1992--June 1993. United States. doi:10.2172/10118397.
Copy to clipboard
Klevans, E.H. Fri . "Intelligent distributed control for nuclear power plants. Final (third annual) technical progress report, September 1991--June 1993 (September 1989--June 1993): Includes no-cost extension period from September 1992--June 1993". United States. doi:10.2172/10118397. https://www.osti.gov/servlets/purl/10118397.
Copy to clipboard
@article{osti_10118397,
title = {Intelligent distributed control for nuclear power plants. Final (third annual) technical progress report, September 1991--June 1993 (September 1989--June 1993): Includes no-cost extension period from September 1992--June 1993},
author = {Klevans, E.H.},
abstractNote = {This project was initiated in September 1989 as a three year project to develop and demonstrate Intelligent Distributed Control (IDC) for Nuclear Power Plants. There were two primary goals of this research project. The first goal was to combine diagnostics and control to achieve a highly automated power plant as described by M.A. Schultz. The second goal was to apply this research to develop a prototype demonstration on an actual power plant system, the EBR-2 steam plant. Described in this Final (Third Annual) Technical Progress Report is the accomplishment of the project`s final milestone, an in-plant intelligent control experiment conducted on April 1, 1993. The development of the experiment included: simulation validation, experiment formulation and final programming, procedure development and approval, and experimental results. Other third year developments summarized in this report are: (1) a theoretical foundation for Reconfigurable Hybrid Supervisory Control, (2) a steam plant diagnostic system, (3) control console design tools and (4) other advanced and intelligent control.},
doi = {10.2172/10118397},
journal = {},
number = ,
volume = ,
place = {United States},
year = {Fri Dec 31 00:00:00 EST 1993},
month = {Fri Dec 31 00:00:00 EST 1993}
}
Copy to clipboard
Technical Report:
View Technical Report (5.26 MB)
DOI:  10.2172/10118397
Save / Share:
Export Metadata
Save to My Library
You must Sign In or Create an Account in order to save documents to your library.

  • This project was initiated in September 1989 as a three year project to develop and demonstrate Intelligent Distributed Control (IDC) for Nuclear Power Plants. The body of this Third Annual Technical Progress report summarizes the period from September 1991 to October 1992. There were two primary goals of this research project. The first goal was to combine diagnostics and control to achieve a highly automated power plant as described by M.A. Schultz. His philosophy, is to improve public perception of the safety of nuclear power plants by incorporating a high degree of automation where a greatly simplified operator control consolemore » minimizes the possibility of human error in power plant operations. To achieve this goal, a hierarchically distributed control system with automated responses to plant upset conditions was pursued in this research. The second goal was to apply this research to develop a prototype demonstration on an actual power plant system, the EBR-2 stem plant. Emphasized in this Third Annual Technical Progress Report is the continuing development of the in-plant intelligent control demonstration for the final project milestone and includes: simulation validation and the initial approach to experiment formulation.« less

  • ; ; ; ...
    In September of 1989 work began on the DOE University Program grant DE-FG07-89ER12889. The grant provides support for a three year project to develop and demonstrate Intelligent Distributed Control (IDC) for Nuclear Power Plants. The body of this Second Annual Technical Progress report covers the period from September 1990 to September 1991. It summarizes the second year accomplishments while the appendices provide detailed information presented at conference meetings. These are two primary goals of this research. The first is to combine diagnostics and control to achieve a highly automated power plant as described by M.A. Schultz, a project consultant duringmore » the first year of the project. This philosophy, as presented in the first annual technical progress report, is to improve public perception of the safety of nuclear power plants by incorporating a high degree automation where greatly simplified operator control console minimizes the possibility of human error in power plant operations. A hierarchically distributed control system with automated responses to plant upset conditions is the focus of our research to achieve this goal. The second goal is to apply this research to develop a prototype demonstration on an actual power plant system, the EBR-II steam plant.« less

  • The general goal of this research project is to enhance, and transfer to DOE, a new computer simulation model for analyzing the performance and cost of environmental control systems for coal-fired power plants. Systems utilizing pre-combustion, combustion, or post-combustion control methods, individually or in combination, may be considered. A unique capability of this model is the probabilistic representation of uncertainty in model input parameters. This stochastic simulation capability allows the performance and cost of environmental control systems to be quantified probabilistically, accounting for the interactions among all uncertain process and economic parameters. This method facilitates more rigorous comparisons between conventionalmore » and advanced clean coal technologies promising improved cost and/or effectiveness for SO{sub 2} and NO{sub x} removal. Detailed modeling of several pre-combustion and post-combustion processes of interest to DOE/PETC have been selected for analysis as part of this project.« less

  • The National Defense Authorization Act for Fiscal Year 1994, Public Law 103-160, Title XVII, Chemical and Biological Weapons Defense, section 1703, directed the Secretary of Defense to submit an assessment and a description of plans to improve readiness. The DoD objective is to enable our forces to survive, fight and win in NBC contaminated environments. Discussed are new management objectives impacted by declining resources and force structure versus an ever changing threat environment. Nuclear biological, Chemical, NBC, Defense, Logistics, Readiness, Training, Contamination avoidance, Protection, Decontamination.

  • ; ; ; ...
    The objective of this research was to advance the state-of-the-art of applying artificial intelligence technology (both expert systems and neural networks) to enhancing the performance (safety, efficiency, control and management) of nuclear power plants. A second, but equally important objective, was to build a broadly based critical mass of expertise in the artificial intelligence field that can be brought to bear on the technology of nuclear power plants.