Less than 10% of the plastics generated globally are recycled, while the rest are incinerated,
accumulated in landfills, or leak into the environment. New technologies are emerging to …

This paper surveys economic assessments of concentrated solar power (CSP) technologies
and finds two dominant assessment methods. A majority of studies reported in the literature …

Integration of real-time optimization and control with higher level decision-making (scheduling
and planning) is an essential goal for profitable operation in a highly competitive …

Widespread application of dynamic optimization with fast optimization solvers leads to
increased consideration of first-principles models for nonlinear model predictive control (NMPC). …

We present a computational framework for integrating a state-of-the-art numerical weather
prediction (NWP) model in stochastic unit commitment/economic dispatch formulations that …

We present a Gaussian process (GP) modeling framework to determine energy savings and
uncertainty levels in measurement and verification (M&V) practices. Existing M&V …

Moving horizon estimation (MHE) is an efficient optimization-based strategy for state estimation.
Despite the attractiveness of this method, its application in industrial settings has been …

An adaptive-learning model predictive control (AL-MPC) framework is proposed for
incorporating disturbance prediction, model uncertainty quantification, pattern learning, and …

Waste plastics are an abundant feedstock for the production of renewable chemicals. Pyrolysis
of waste plastics produces pyrolysis oils with high concentrations of olefins (>50 weight %…

Cryogenic air separation units constitute an integral part of many industrial processes and
next generation power plants. These units are characterized by fluctuating operating …