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Knowledge management of eco-industrial park for efficient energy utilization through ontology-based approach

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  • Zhang, Chuan
  • Romagnoli, Alessandro
  • Zhou, Li
  • Kraft, Markus

Abstract

An ontology-based approach for Eco-Industrial Park (EIP) knowledge management is proposed in this paper. The designed ontology in this study is formalized conceptualization of EIP. Based on such an ontological representation, a Knowledge-Based System (KBS) for EIP energy management named J-Park Simulator (JPS) is developed. By applying JPS to the solution of EIP waste heat utilization problem, the results of this study show that ontology is a powerful tool for knowledge management of complex systems such as EIP. The ontology-based approach can increase knowledge interoperability between different companies in EIP. The ontology-based approach can also allow intelligent decision making by using disparate data from remote databases, which implies the possibility of self-optimization without human intervention scenario of Internet of Things (IoT). It is shown through this study that KBS can bridge the communication gaps between different companies in EIP, sequentially more potential Industrial Symbiosis (IS) links can be established to improve the overall energy efficiency of the whole EIP.

Suggested Citation

  • Zhang, Chuan & Romagnoli, Alessandro & Zhou, Li & Kraft, Markus, 2017. "Knowledge management of eco-industrial park for efficient energy utilization through ontology-based approach," Applied Energy, Elsevier, vol. 204(C), pages 1412-1421.
    • Handle: RePEc:eee:appene:v:204:y:2017:i:c:p:1412-1421
    DOI: 10.1016/j.apenergy.2017.03.130
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    References listed on IDEAS

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    1. Zhang, Chuan & Zhou, Li & Chhabra, Pulkit & Garud, Sushant S. & Aditya, Kevin & Romagnoli, Alessandro & Comodi, Gabriele & Dal Magro, Fabio & Meneghetti, Antonella & Kraft, Markus, 2016. "A novel methodology for the design of waste heat recovery network in eco-industrial park using techno-economic analysis and multi-objective optimization," Applied Energy, Elsevier, vol. 184(C), pages 88-102.
    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. Payam Barnaghi & Wei Wang & Cory Henson & Kerry Taylor, 2012. "Semantics for the Internet of Things: Early Progress and Back to the Future," International Journal on Semantic Web and Information Systems (IJSWIS), IGI Global, vol. 8(1), pages 1-21, January.
    4. Desai, Nishith B. & Bandyopadhyay, Santanu, 2009. "Process integration of organic Rankine cycle," Energy, Elsevier, vol. 34(10), pages 1674-1686.
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    Cited by:

    1. Qi Zhang & Yuanqiao Wen & Chunhui Zhou & Hai Long & Dong Han & Fan Zhang & Changshi Xiao, 2019. "Construction of Knowledge Graphs for Maritime Dangerous Goods," Sustainability, MDPI, vol. 11(10), pages 1-16, May.
    2. Yu, Xiang & Chen, Hongbo & Wang, Bo & Wang, Ran & Shan, Yuli, 2018. "Driving forces of CO2 emissions and mitigation strategies of China’s National low carbon pilot industrial parks," Applied Energy, Elsevier, vol. 212(C), pages 1553-1562.
    3. 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.
    4. Balaji, Bharathan & Bhattacharya, Arka & Fierro, Gabriel & Gao, Jingkun & Gluck, Joshua & Hong, Dezhi & Johansen, Aslak & Koh, Jason & Ploennigs, Joern & Agarwal, Yuvraj & Bergés, Mario & Culler, Davi, 2018. "Brick : Metadata schema for portable smart building applications," Applied Energy, Elsevier, vol. 226(C), pages 1273-1292.
    5. Yukun Jiang & Xin Gao & Wenxin Su & Jinrong Li, 2021. "Systematic Knowledge Management of Construction Safety Standards Based on Knowledge Graphs: A Case Study in China," IJERPH, MDPI, vol. 18(20), pages 1-15, October.
    6. Daniela C. A. Pigosso & Andreas Schmiegelow & Maj Munch Andersen, 2018. "Measuring the Readiness of SMEs for Eco-Innovation and Industrial Symbiosis: Development of a Screening Tool," Sustainability, MDPI, vol. 10(8), pages 1-25, August.

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