Optimization of environmental control system design for an IGCC power plant

摘要

Conventional process models for advanced energy systems are typically based on a deterministic framework in which technical and economic uncertainties are not rigorously treated or characterized. Nor do current design methods rigorously address the issue of process design under uncertainty. Nevertheless, the capability to consider uncertainties in the early stages of advanced power system design is especially important since available performance data typically are scant, accurate predictive models of tne are unavailable, and many technical as well as economic parameters are not well established. This paper summarizes recent developments in advanced computer-based methods for leading with uncertainties that are critical to the design of advanced energy systems. Results are presented for an advanced Lurgi-based IGCC system with hot gas cleanup, in which the design of systems for SO_2 removal and NO_x control are optimized to minimize overall costs in the face of performance and cost parameter uncertainties. Risk-based optimization criteria also are explored using stochastic optimization methods.