Simultaneous multi-variable gradient-based optimization with multi-start is performed on a 300 MWe wet-recycling pressurized oxy-coal combustion process with carbon capture and sequestration, subject to uncertainty in fuel, ambient conditions, and other input specifications. Two forms of flue...

Robust optimization is typically based on repeated calls to a deterministic simulation program that aim at both propagating uncertainties and finding optimal design variables. Often in practice, the “simulator” is a computationally intensive software which makes the computational cost one of...

A natural way to handle optimization problem with data affected by stochastic uncertainty is to pass to a chance constrained version of the problem, where candidate solutions should satisfy the randomly perturbed constraints with probability at least 1−ϵ. While being attractive from modeling...

In this paper, we propose a systematic approach to study how the development in terms of cost and proven functionality of emerging energy technologies affects the optimal choice and timing of investment decisions at an industrial plant today. The methodology used is based on stochastic...

Infrastructure management is the process through which inspection, maintenance, and rehabilitation (IM&R) decisions are made to minimize the total life-cycle cost. Measurement, forecasting, and spatial sampling are three main sources of errors introducing uncertainty into the process. The first...