This paper proposes a new hybrid strategy to optimally design membrane separation
problems. We formulate the problem as a Non-Linear Programming (NLP) model. A …

In the light of the increasing share of power generation from renewable energy sources,
there is a growing interest in flexible operation of power-intensive processes for demand …

The electrification of chemical processes links the production costs and the CO 2-footprint of
the process industry more and more tightly to the price of electric power and the availability …

Due to the increasing amount of data to be treated and, thus, to the need of more
computational effective strategies, surrogate modeling has become a topic of major interest …

Electrolysis‐based hydrogen production can play a significant role in industrial
decarbonization, and its economic competitiveness can be promoted by designing demand …

This paper deals with the development of accurate surrogate models for first-principles
models constructed for the dissolution of phosphate ore in a phosphoric acid solution. The …

This study proposes a novel approach that integrates demand response strategy with
operational scheduling to investigate the process flexibility in the operational performance …

With the increasing amount of data to quickly process, surrogate modeling has become a
topic of major interest in process engineering during the last decades. Recently, black-box …

Electrification of processes and utilities is considered a promising option towards the
reduction of greenhouse gas emissions from the chemical industry. Therefore, electricity …

Given the exponential rise in the amount of data requiring processing in all engineering
fields, phenomenological models have become computationally cumbersome. For this …