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

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

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.

Suggested Citation

  • Zhou, Li & Pan, Ming & Sikorski, Janusz J. & Garud, Sushant & Aditya, Leonardus K. & Kleinelanghorst, Martin J. & Karimi, Iftekhar A. & Kraft, Markus, 2017. "Towards an ontological infrastructure for chemical process simulation and optimization in the context of eco-industrial parks," Applied Energy, Elsevier, vol. 204(C), pages 1284-1298.
    • Handle: RePEc:eee:appene:v:204:y:2017:i:c:p:1284-1298
    DOI: 10.1016/j.apenergy.2017.05.002
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    References listed on IDEAS

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    1. Chae, Song Hwa & Kim, Sang Hun & Yoon, Sung-Geun & Park, Sunwon, 2010. "Optimization of a waste heat utilization network in an eco-industrial park," Applied Energy, Elsevier, vol. 87(6), pages 1978-1988, June.
    2. Pan, Ming & Sikorski, Janusz & Akroyd, Jethro & Mosbach, Sebastian & Lau, Raymond & Kraft, Markus, 2016. "Design technologies for eco-industrial parks: From unit operations to processes, plants and industrial networks," Applied Energy, Elsevier, vol. 175(C), pages 305-323.
    3. Karlsson, Magnus, 2011. "The MIND method: A decision support for optimization of industrial energy systems - Principles and case studies," Applied Energy, Elsevier, vol. 88(3), pages 577-589, March.
    4. Klugman, S. & Karlsson, M. & Moshfegh, B., 2009. "A Swedish integrated pulp and paper mill--Energy optimisation and local heat cooperation," Energy Policy, Elsevier, vol. 37(7), pages 2514-2524, July.
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    Cited by:

    1. Zhang, Bing J. & Tang, Qiao Q. & Zhao, Yue & Chen, Yu Q. & Chen, Qing L. & Floudas, Christodoulos A., 2018. "Multi-level energy integration between units, plants and sites for natural gas industrial parks," Renewable and Sustainable Energy Reviews, Elsevier, vol. 88(C), pages 1-15.
    2. Lucyna Łȩkawska-Andrinopoulou & Georgios Tsimiklis & Sarah Leick & Manuel Moreno Nicolás & Angelos Amditis, 2021. "Circular Economy Matchmaking Framework for Future Marketplace Deployment," Sustainability, MDPI, vol. 13(10), pages 1-22, May.
    3. Khaqqi, Khamila Nurul & Sikorski, Janusz J. & Hadinoto, Kunn & Kraft, Markus, 2018. "Incorporating seller/buyer reputation-based system in blockchain-enabled emission trading application," Applied Energy, Elsevier, vol. 209(C), pages 8-19.
    4. Ho, Tung Manh, 2019. "AI-readiness for circular economy_Prospects and challenges," OSF Preprints s4jpz, Center for Open Science.

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