An overview of process intensification methods

Computer‐aided process intensification: Challenges, trends and opportunities

“…A number of recently published review/perspectives papers on PI, process synthesis, and reactive dividing wall columns have highlighted the tremendous potential of PI, and indicate a very high level of interest in PI because of the promise of significant improvements in the current state of the art in energy efficient operations as well as the possibility to discover truly innovative and novel solutions for new processing routes. They also confirm that the goals of smart manufacturing, sustainable production, circular economy could be realized through appropriate application of PI solutions.…”

“…Therefore, PI as a topic has been attracting much attention from industry as well as academia. Also, process systems engineering (PSE) has been closely related to the developments within PI as recent reviews on PI indicate. But what is PI, or, how can it be achieved?…”

Functional Modeling View on Product and Process Engineering in Design and Operations

“…Greven and Stankiewicz 80 and more recently by Sitter et al 81 The former authors review chemical process integration from the molecular to meso-and macroscale. Consequently process integration may be defined as the improvement of a process through the targeted enhancement of performance-limiting phenomena at different scales.…”

“…However, the challenges related to the exploitation of the available, but limited resources on the planet poses significant opportunities for advances in fundamental science and technology. 5,81 With further developments in predictive property modelling capabilities, e.g. 100 it becomes possible to design novel molecules and chemical products for specific intended purposes with limited need for experimental data except within catalyst design where directed evolution is expected to enable application of functional thinking.…”

Modern Modeling Paradigms Using Generalized Disjunctive Programming

“…By separating model logical structure from the underlying algebraic descriptions, GDP reduces the work necessary to revise a model. In doing so, it aims to advance the state-of-the-art in process design [26,[29][30][31][32]. Later, we also show how GDP can help manage model variants.…”