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

Li Zhou, Ming Pan, Janusz J. Sikorski, Sushant Garud, Leonardus K. Aditya, Martin J. Kleinelanghorst, Iftekhar A. Karimi and Markus Kraft

Applied Energy, 2017, vol. 204, issue C, 1284-1298

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.

Keywords: Eco-industrial park; Knowledge base; Ontology; Process simulation; Process optimization; Query (search for similar items in EconPapers)
Date: 2017
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (5)

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DOI: 10.1016/j.apenergy.2017.05.002

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