Probabilistic analysis and optimization of new power generation technologies: A case study for the externally-fired combined cycle
Conference
·
OSTI ID:376112
- North Carolina State Univ., Raleigh, NC (United States). Dept. of Civil Engineering
To address the need for integrated models of advanced power generation systems and for improved analysis techniques, the US Department of Energy (DOE), through the Morgantown Energy Technology Center (METC), has supported the development of performance, emissions, and cost models of several advanced power generation systems, including integrated gasification combined cycle (IGCC), externally-fired combined cycle (EFCC) and pressurized fluidized bed combustion (PFBC) concepts. Simultaneously, numerical methods for simulation of uncertainties and optimization of process flowsheets have been implemented in the DOE`s public version of ASPEN. The new process models and computational capabilities have been applied to demonstrate the benefits of quantitative approaches to dealing with uncertainty and for optimizing technologies in the face of uncertainty. This paper focuses on modeling and assessment of the EFCC system concept. The purpose of the paper is to demonstrate new methods for technology assessment and to provide technology-specific insights regarding the risks and potential pay-offs of the EFCC.
- DOE Contract Number:
- AC21-88MC24248
- OSTI ID:
- 376112
- Report Number(s):
- CONF-960426--
- Country of Publication:
- United States
- Language:
- English
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