The chemical processing industry has relied on modeling techniques for process monitoring,
control, diagnosis, optimization, and design, especially since the third industrial revolution …

Production scheduling and process control have the common aim of identifying
(economically) optimal operational decisions, and it is reasonable to expect that significant …

Today's fast-changing markets often require the granularity of production schedules to be
refined to time scales comparable to the time constants of a chemical process …

This work identifies a benchmark for the performance of a small-scale ammonia synthesis
plant powered by wind energy. The energy used is stranded, far from urban centers but near …

Managing electricity demand has become a key consideration in power grid operations.
Industrial demand response (DR) is an important component of demand-side management …

In this paper, we establish a connection between process integration and process
intensification. Focusing on processes with material recycle, we use an asymptotic analysis …

In this paper, we propose a novel framework for integrating scheduling and nonlinear control
of continuous processes. We introduce the time scale-bridging model (SBM) as an explicit …

Peaks in renewable electricity generation and consumer demand are desynchronized in
time, posing a challenge for grid operators. Industrial demand response (DR) has emerged …

This review aims to exploit a study on different benchmark test functions used to evaluate the
performance of Meta-Heuristic (MH) optimization techniques. The performance of the MH …

The economic circumstances that define the operation of chemical processes (eg, product
demand, feedstock and energy prices) are increasingly variable. To maximize profit …