Integration of ontology and knowledge-based optimization in process synthesis applications

Process Design, Integration and Optimisation: Advantages, Challenges and Drivers

“…To this end, either knowledge-based (Cecelja et al , 2011) or systematic approaches could be used (Grossmann and Hooker, 2000). The former, known also as conceptual design, is based upon hierarchical decomposition, using heuristics and engineering experience, while the latter encompasses the optimisation of a superstructure of alternatives, based on mathematical programming techniques (Grossmann and Daichendt, 1996).…”

State-Of-The-Art Review of Mathematical Optimisation Approaches for Synthesis of Energy Systems

“…As shown in reviews presented by Barnicki and Siirola (2004), Cecelja et al (2011), Grossmann and Daichendt (1996), Li and Kraslawski (2004) and Westerberg (2004), systematic approaches have also been developed for the synthesis of energy systems. These approaches are typically categorised into:…”

Semantically enabled process synthesis and optimisation

“…Ontological approach to model knowledge was used by Kokossis at al to extract and interpret knowledge generated in the process of optimising reactor network using Simulated Annealing (Kokossis, A. et al 2008), which was further expanded to cascade solutions and to guide search using Cascade Algorithm , as well as to parallel execution (Cecelja, F et al 2014). An attempt was made by Cecelja at al to use both production rules and ontology for integrated interpretation of solutions and acquisition of optimisation knowledge to guide the search in the process of reactor network synthesis using Cascade Algorithm (Cecelja, F. et al 2011). …”