Virtual Sector Profiles for Innovation Sharing in Process Industry – Sector 01: Chemicals

  • Hélène Cervo
  • Stéphane Bungener
  • Elfie Méchaussie
  • Ivan Kantor
  • Brecht Zwaenepoel
  • François Maréchal
  • Greet Van Eetvelde
Conference paper
Part of the Smart Innovation, Systems and Technologies book series (SIST, volume 68)

Abstract

Production data in process industry are proprietary to a company since they are key to the process design and technology expertise. However, data confidentiality restrains industry from sharing results and advancing developments in and across process sectors. Using virtual profiles that simulate the typical operating modes of a given process industry offers an elegant solution for a company to share information with the outside world. This paper proposes a generic methodology to create sector blueprints and applies it to the chemicals industry. It details the profile of a typical chemical site based on essential units and realistic data gathered from existing refineries and chemical plants.

Keywords

Virtual profile Sector blueprint Industrial data Chemicals sector Refineries Data confidentiality Industrial symbiosis Energy efficiency 

References

  1. 1.
  2. 2.
    Mogre, N.V., Agarwal, G., Patil, P.: A review on data anonymization technique for data publishing. Int. J. Eng. Res. Technol. (IJERT) 1(10) (2012)Google Scholar
  3. 3.
    Cormode, G., Srivastava, D.: Anonymized data: generation, models, usage. In: Proceedings of the ACM SIGMOD International Conference on Management of Data (SIGMOD 2009), Providence (2009)Google Scholar
  4. 4.
    CEFIC – The European Chemical Industry Council. http://www.cefic.org/
  5. 5.
    EPOS – Symbiosis in Industry. https://www.spire2030.eu/epos
  6. 6.
    Bungener, L.G.S.: Energy efficiency and integration in the refining and petrochemical industries. Ph.D. thesis, Ecole Polytechnique Fédérale de Lausanne (2016)Google Scholar
  7. 7.
    Méchaussie, E., Bungener, S., Maréchal, F., Van Eetvelde, G.: Methodology for streams definition and graphical representation in total site analysis. In: 29th International Conference on Efficiency, Cost, Optimization, Simulation and Environmental Impact of Energy Systems (ECOS 2016), Portorož (2016)Google Scholar
  8. 8.
    Natural Resources Canada, Pinch Analysis: For the Efficient Use of Energy, Water & Hydrogen (2003)Google Scholar
  9. 9.
    Hallale, N., Liu, F.: Refinery hydrogen management for clean fuels production. Adv. Environ. Res. 6(1), 81–98 (2001)CrossRefGoogle Scholar
  10. 10.
    Juran, J.: Pareto, lorenz, cournot, bernoulli, juran and others. In: Industrial Quality Control, p. 25 (1960)Google Scholar
  11. 11.
    ISO 50001:2011, Energy management systems – Requirements with guidance for useGoogle Scholar
  12. 12.
    De Jong, E., Higson, A., Walsh, P., Wellisch, M.: Bio-based Chemicals: value added products from biorefineries. IEA Bioenergy Task 42 Biorefinery (2010)Google Scholar
  13. 13.
    Petrochemistry – Association of Petrochemicals producers in Europe. http://www.petrochemistry.eu/flowchart.html
  14. 14.
    Wang, M., Lee, H., Molburg, J.: Allocation of energy use in petroleum refineries to petroleum products implications for life-cycle energy use and emission inventory of petroleum transportation fuels. Int. J. Life Cycle Assess. 9 (2003)Google Scholar
  15. 15.
    Dhole, V.R., Linnhoff, B.: Total site targets for fuel, co-generation, emissions and cooling. Comput. Chemicals Eng. 17, 101–109 (1993)CrossRefGoogle Scholar
  16. 16.
    Bungener, L.G.S., Van Eetvelde, G., Maréchal, F.: A methodology for creating sequential multi-period base-case scenarios for large data sets. Chem. Eng. Trans. 35, 1231–1236 (2013)Google Scholar
  17. 17.
    Noor, I.M., Thornhill, N.F., Fretheim, H., Thorud, E.: Quantifying the demand-side response capability of industrial plants to participate in power system frequency control schemes. In: 2015 IEEE Eindhoven PowerTech, Eindhoven (2015)Google Scholar

Copyright information

© Springer International Publishing AG 2017

Authors and Affiliations

  • Hélène Cervo
    • 1
  • Stéphane Bungener
    • 2
  • Elfie Méchaussie
    • 2
  • Ivan Kantor
    • 2
  • Brecht Zwaenepoel
    • 3
  • François Maréchal
    • 2
  • Greet Van Eetvelde
    • 1
    • 3
  1. 1.INEOS EuropeLavéraFrance
  2. 2.EPFL Valais Wallis, Industrial Process and Energy Systems EngineeringSionSwitzerland
  3. 3.Energy and Cluster Management, Faculty of Engineering and ArchitectureGhent UniversityGhentBelgium

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