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

• 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.

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.

• This paper draws from preprint 181: Towards a novel ontological infrastructure for chemical process simulation and optimization in the context of eco-industrial parks
• Access the article at the publisher: DOI: 10.1016/j.apenergy.2017.05.002

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