Semantically enabled process synthesis and optimisation

From conceptual design to process design optimization: a review on flowsheet synthesis

“…Kokossis et al (2016) presented an approach to model, acquire, and beneficially reuse knowledge in process synthesis. They propose a method that combines optimization with ontological knowledge modeling in order (i) to easily interpret optimization solutions, (ii) to learn during the progress of optimization and to guide the search toward the optimum solution within predefined and on-the-fly created constraints, and (iii) to simplify solutions dynamically and in agreement with the problem formulation to accelerate the search (Kokossis et al, 2016). The main idea of their approach is that optimization (based on explicit knowledge) is the best way to generate solutions while tacit knowledge is the best way to select solutions.…”

Design of Extractive Reaction Systems

“…A less computationally expensive method for conceptual design including ERS is based on a simplified expression of the mass transfer rate to the shadow compartments . Recently, the issues of computational time and interpretation of the generated networks have been addressed through a Tabu search algorithm and ontology‐based modeling .…”

Systems integrations for the olistic design of second generation biorefineries

“…Biorefinery synthesis methods scope to choose the processing paths that valorize best the available raw materials and produce a profitable portfolio of products that satisfy the imposed constraints. Mathematical programming (Quaglia et al, 2015) and ontology engineering (Kokossis et al, 2016) are employed to assist the tasks of design space definition representation, as superstructure development remains a challenge. However, the application of these methods is limited by the complexity associated with the mathematical formulation of the sub problems.…”