Optimization of the gas turbine-modular helium reactor using statistical methods to maximize performance without compromising system design margins
Abstract
This paper describes a statistical approach for determining the impact of system performance and design uncertainties on power plant performance. The objectives of this design approach are to ensure that adequate margin is provided, that excess margin is minimized, and that full advantage can be taken of unconsumed margin. It is applicable to any thermal system in which these factors are important. The method is demonstrated using the Gas Turbine Modular Helium Reactor as an example. The quantitative approach described allows the characterization of plant performance and the specification of the system design requirements necessary to achieve the desired performance with high confidence. Performance variations due to design evolution, inservice degradation, and basic performance uncertainties are considered. The impact of all performance variabilities is combined using Monte Carlo analysis to predict the range of expected operation.
- Publication:
-
NASA STI/Recon Technical Report N
- Pub Date:
- July 1995
- Bibcode:
- 1995STIN...9613271L
- Keywords:
-
- Electric Power Plants;
- Gas Turbines;
- Helium;
- High Temperature Nuclear Reactors;
- Monte Carlo Method;
- Statistical Analysis;
- Design Analysis;
- Margins;
- Reactor Technology;
- Systems Engineering;
- Mechanical Engineering