This report illustrates the power of the new stochastic optimization and stochastic programming capabilities developed around the ASPEN simulator in solving various types of design and analysis problems for advanced energy systems. A case study is presented for the Lurgi air-blown dry ash gasifier IGCC system. In addition the stochastic optimization capability can also be used for off-line quality control. The methodology is presented in the context of a simple gas turbine combustor flowsheet.