Literature DB >> 24768838

Understanding resilience in industrial symbiosis networks: insights from network analysis.

Shauhrat S Chopra1, Vikas Khanna2.   

Abstract

Industrial symbiotic networks are based on the principles of ecological systems where waste equals food, to develop synergistic networks. For example, industrial symbiosis (IS) at Kalundborg, Denmark, creates an exchange network of waste, water, and energy among companies based on contractual dependency. Since most of the industrial symbiotic networks are based on ad-hoc opportunities rather than strategic planning, gaining insight into disruptive scenarios is pivotal for understanding the balance of resilience and sustainability and developing heuristics for designing resilient IS networks. The present work focuses on understanding resilience as an emergent property of an IS network via a network-based approach with application to the Kalundborg Industrial Symbiosis (KIS). Results from network metrics and simulated disruptive scenarios reveal Asnaes power plant as the most critical node in the system. We also observe a decrease in the vulnerability of nodes and reduction in single points of failure in the system, suggesting an increase in the overall resilience of the KIS system from 1960 to 2010. Based on our findings, we recommend design strategies, such as increasing diversity, redundancy, and multi-functionality to ensure flexibility and plasticity, to develop resilient and sustainable industrial symbiotic networks.
Copyright © 2014 Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  Betweenness centrality; Degree centrality; Industrial symbiosis; Network analysis; Resilience; Systemic vulnerability

Mesh:

Substances:

Year:  2014        PMID: 24768838     DOI: 10.1016/j.jenvman.2013.12.038

Source DB:  PubMed          Journal:  J Environ Manage        ISSN: 0301-4797            Impact factor:   6.789


  5 in total

1.  Pilot testing model to uncover industrial symbiosis in Brazilian industrial clusters.

Authors:  Adriana Valélia Saraceni; Luis Mauricio Resende; Pedro Paulo de Andrade Júnior; Joseane Pontes
Journal:  Environ Sci Pollut Res Int       Date:  2017-03-21       Impact factor: 4.223

2.  A network-based framework for assessing infrastructure resilience: a case study of the London metro system.

Authors:  Shauhrat S Chopra; Trent Dillon; Melissa M Bilec; Vikas Khanna
Journal:  J R Soc Interface       Date:  2016-05       Impact factor: 4.118

3.  Ecosystem guidance for the incorporation of renewable utilities in a multi-use campus network.

Authors:  Shelby Warrington; Astrid Layton
Journal:  PLoS One       Date:  2022-05-19       Impact factor: 3.752

4.  Social-ecological network analysis for sustainability sciences: a systematic review and innovative research agenda for the future.

Authors:  J S Sayles; M Mancilla Garcia; M Hamilton; S M Alexander; J A Baggio; A P Fischer; K Ingold; G R Meredith; J Pittman
Journal:  Environ Res Lett       Date:  2019-08-23       Impact factor: 6.793

5.  Embedding resilience in the design of the electricity supply for industrial clients.

Authors:  Márcio das Chagas Moura; Helder Henrique Lima Diniz; Enrique López Droguett; Beatriz Sales da Cunha; Isis Didier Lins; Vicente Ribeiro Simoni
Journal:  PLoS One       Date:  2017-11-30       Impact factor: 3.240

  5 in total

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