• AE-204-1284-1298

Towards an ontological infrastructure for chemical process simulation and optimization in the context of eco-industrial parks

Authors: Li Zhou, Ming Pan, Janusz Sikorski, Sushant S. Garud, Leonardus Kevin Aditya, Martin J. Kleinelanghorst, Iftekhar A. Karimi, and Markus Kraft*

Reference: Applied Energy 204, 1284-1298, (2017)

  • The concept of constructing an expert system called JPS for EIPs is introduced.
  • A biodiesel plant is implemented into the system as a first step.
  • OntoCAPE is adapted to establish a knowledge base for the biodiesel plant.
  • Plant-wide process simulation and optimization can be carried out via JPS.
  • Simple information query can be carried out based on the developed knowledge base.

Graphical abstract In this paper, we introduce the concept of constructing an ontology-based decision support system called J-Park Simulator for the design and operation of eco-industrial parks. It is inspired by Jurong industrial park in Singapore. A biodiesel plant is implemented into the system as a first step. OntoCAPE is adapted for the purposes of the biodiesel plant to establish a knowledge base, which is employed to carry out a number of applications via J-Park Simulator. Firstly, information query can be performed. Information of the biodiesel plant can be extracted through natural language query. Secondly, J-Park Simulator can be used to carry out process simulation. New process equilibrium can be evaluated after certain operation parameters change. Thirdly, process optimization can be realized through J-Park Simulator. Optimal operation condition under different market scenarios can be obtained for the biodiesel producing process in order to reduce the energy consumption and achieve maximal plant profit.

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