Modeling Industrial Symbiosis Using Design Structure Matrices

Andreas Makoto Hein (), Marija Jankovic (), Romain Farel, Lei I Sam and Bernard Yannou ()
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Andreas Makoto Hein: LGI - Laboratoire Génie Industriel - EA 2606 - CentraleSupélec, PS2E - Paris Saclay Efficacité Energétique
Marija Jankovic: LGI - Laboratoire Génie Industriel - EA 2606 - CentraleSupélec
Romain Farel: PS2E - Paris Saclay Efficacité Energétique
Lei I Sam: PS2E - Paris Saclay Efficacité Energétique
Bernard Yannou: LGI - Laboratoire Génie Industriel - EA 2606 - CentraleSupélec

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Abstract: Today , industry is under constant pressure to increase competitiveness and resource-efficiency. One possibility to cope with these challenges is industrial symbiosis. Industrial symbiosis is based on substituting a new resource by an undervalued resource such as waste. Thereby , industrial symbiosis reduces waste and saves resources. One of the practical challenges in developing industrial symbioses is the identification of symbiosis opportunities. In particular , the question how " new resource – substitute " combinations can be identified has not yet been addressed in the literature. This paper presents a modeling approach for industrial symbioses in industrial parks , based on design structure matrices (DSM) , which intends to support the identification of substitution opportunities. The approach is applied to a sample industrial park. Combined with an optimization algorithm , the symbiosis model is used for identifying not only symbiosis opportunities but also the most attractive combination (s) of symbioses within the industrial park .

Keywords: Industrial ecology; industrial symbiosis; eco - industrial park; systems architecture; DSM (search for similar items in EconPapers)
Date: 2015-11-04
Note: View the original document on HAL open archive server: https://hal.science/hal-01270870
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Published in 17 th INTERNATIONAL DEPENDENCY AND STRUCTURE MODELING CONFERENCE, DSM 2015, Nov 2015, Fort Worth, United States

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