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Blueprint: A methodology facilitating data exchanges to enhance the detection of industrial symbiosis opportunities – application to a refinery

Author
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Abstract
The European Union has put the concept of circularity at the heart of its strategy for transitioning towards a low-carbon economy. Measures have been taken in order to promote Industrial Symbiosis (IS). However, one of the main barriers to the dissemination of IS remains the exchange of (confidential) data between industries. This paper presents the concept of industrial sector blueprints as a solution in order to overcome the challenge of sharing information. A blueprint is constituted of a series of profiles providing insights into the key inputs and outputs of a given industry in terms of thermal and electrical energy, materials and services. A methodology, detailing a step-by-step approach for building the profiles and the type of data required, is presented. To demonstrate the feasibility of the methods, it is applied to a typical refinery followed by an example, showing how it can be used in an IS context.
Keywords
Circular economy, Industrial symbiosis, Data confidentiality, Resource efficiency, Pinch analysis, Refining

Citation

Please use this url to cite or link to this publication:

MLA
Cervo, Hélène, et al. “Blueprint: A Methodology Facilitating Data Exchanges to Enhance the Detection of Industrial Symbiosis Opportunities – Application to a Refinery.” Chemical Engineering Science, vol. 211, Elsevier Ltd., 2020.
APA
Cervo, H., Ferrasse, J.-H., Descales, B., & Van Eetvelde, G. (2020). Blueprint: A methodology facilitating data exchanges to enhance the detection of industrial symbiosis opportunities – application to a refinery. Chemical Engineering Science, 211.
Chicago author-date
Cervo, Hélène, Jean-Henry Ferrasse, Bernard Descales, and Greet Van Eetvelde. 2020. “Blueprint: A Methodology Facilitating Data Exchanges to Enhance the Detection of Industrial Symbiosis Opportunities – Application to a Refinery.” Chemical Engineering Science 211.
Chicago author-date (all authors)
Cervo, Hélène, Jean-Henry Ferrasse, Bernard Descales, and Greet Van Eetvelde. 2020. “Blueprint: A Methodology Facilitating Data Exchanges to Enhance the Detection of Industrial Symbiosis Opportunities – Application to a Refinery.” Chemical Engineering Science 211.
Vancouver
1.
Cervo H, Ferrasse J-H, Descales B, Van Eetvelde G. Blueprint: A methodology facilitating data exchanges to enhance the detection of industrial symbiosis opportunities – application to a refinery. Chemical Engineering Science. 2020;211.
IEEE
[1]
H. Cervo, J.-H. Ferrasse, B. Descales, and G. Van Eetvelde, “Blueprint: A methodology facilitating data exchanges to enhance the detection of industrial symbiosis opportunities – application to a refinery,” Chemical Engineering Science, vol. 211, 2020.
@article{8632307,
  abstract     = {The European Union has put the concept of circularity at the heart of its strategy for transitioning towards a low-carbon economy. Measures have been taken in order to promote Industrial Symbiosis (IS). However, one of the main barriers to the dissemination of IS remains the exchange of (confidential) data between industries. This paper presents the concept of industrial sector blueprints as a solution in order to overcome the challenge of sharing information. A blueprint is constituted of a series of profiles providing insights into the key inputs and outputs of a given industry in terms of thermal and electrical energy, materials and services. A methodology, detailing a step-by-step approach for building the profiles and the type of data required, is presented. To demonstrate the feasibility of the methods, it is applied to a typical refinery followed by an example, showing how it can be used in an IS context.},
  articleno    = {115254},
  author       = {Cervo, Hélène and Ferrasse, Jean-Henry and Descales, Bernard and Van Eetvelde, Greet},
  issn         = {0009-2509},
  journal      = {Chemical Engineering Science},
  keywords     = {Circular economy,Industrial symbiosis,Data confidentiality,Resource efficiency,Pinch analysis,Refining},
  language     = {eng},
  publisher    = {Elsevier Ltd.},
  title        = {Blueprint: A methodology facilitating data exchanges to enhance the detection of industrial symbiosis opportunities – application to a refinery},
  url          = {http://dx.doi.org/10.1016/j.ces.2019.115254},
  volume       = {211},
  year         = {2020},
}

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