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

The transformation of the chemical industry to renewable energy and feedstock supply
requires new paradigms for the design of flexible plants,(bio‐) catalysts, and functional …

It is well-documented how artificial intelligence can have (and already is having) a big
impact on chemical engineering. But classical machine learning approaches may be weak …

Current and future challenges of optimization in the process industry are discussed. The gap
between academic research and industrial workflow is analyzed. Moreover, issues arising …

The active management of electricity demand, also referred to as demand side management
(DSM), has been recognized as an effective approach to improving power grid performance …

In the steel industry, the imbalance between fluctuating oxygen demand and stable supply
generally results in excessive oxygen emissions and power waste. Independent optimal …

In this paper, we present a brief overview of enterprise-wide optimization and challenges in
multiscale temporal modeling and integration of different models for the levels of planning …

Power-intensive processes can potentially provide significant demand response (DR)
services. Modeling such processes for demand response is not trivial as models must depict …

In the context of the so-called smart grid, the intelligent management of electricity demand,
also referred to as demand side management (DSM), has been recognized as an effective …

Increased volatility in electricity prices and new emerging demand side management
opportunities call for efficient tools for the optimal operation of power-intensive processes. In …