Skip to main content
Log in

Pilot testing model to uncover industrial symbiosis in Brazilian industrial clusters

  • Research Article
  • Published:
Environmental Science and Pollution Research Aims and scope Submit manuscript

Abstract

The main objective of this study was to create a pilot model to uncover industrial symbiosis practices in Brazilian industrial clusters. For this purpose, a systematic revision was conducted in journals selected from two categories of the ISI Web of Knowledge: Engineering, Environmental and Engineering, Industrial. After an in-depth revision of literature, results allowed the creation of an analysis structure. A methodology based on fuzzy logic was applied and used to attribute the weights of industrial symbiosis variables. It was thus possible to extract the intensity indicators of the interrelations required to analyse the development level of each correlation between the variables. Determination of variables and their weights initially resulted in a framework for the theory of industrial symbiosis assessments. Research results allowed the creation of a pilot model that could precisely identify the loopholes or development levels in each sphere. Ontology charts for data analysis were also generated. This study contributes to science by presenting the foundations for building an instrument that enables application and compilation of the pilot model, in order to identify opportunity to symbiotic development, which derives from “uncovering” existing symbioses.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Fig. 1
Fig. 2

Similar content being viewed by others

References

  • Anh PT et al (2011) Towards eco-agro industrial clusters in aquatic production: the case of shrimp processing industry in Vietnam. J Clean Prod 19(17–18):2107–2118

    Article  Google Scholar 

  • Bailey R et al (2008) Measuring material cycling in industrial systems. Resour Conserv Recycl 52(4):643–652

    Article  Google Scholar 

  • Bain A et al (2010) Industrial symbiosis and waste recovery in an Indian industrial area. Resour Conserv Recycl 54(12):1278–1287

    Article  Google Scholar 

  • Chertow MR (2000) Industrial symbiosis: literature and taxonomy. Annual Review of Energy and Environment 25:313–337

    Article  Google Scholar 

  • Chertow MR (2007) “Uncovering” industrial symbiosis. J Ind Ecol 11(1):11–30

    Article  Google Scholar 

  • Chertow, M. R.; Lifset, R. 2013. Industrial symbiosis. In: Encyclopedia of Earth. Eds. Cutler J. Cleveland (Washington, D.C.: Environmental Information Coalition, National Council for Science and the Environment). First published in the Encyclopedia of Earth February 27, 2008; Last revised Date October 22, 2012; Retrieved April 5, 2013.

  • Chertow MR et al (2008) Industrial symbiosis in Puerto Rico: environmentally-related agglomeration economies. Reg Stud 42:1299–1312

    Article  Google Scholar 

  • Chopra SS, Khanna V (2014) Understanding resilience in industrial symbiosis networks: insights from network analysis. J Environ Manag 141:86–94

    Article  Google Scholar 

  • Cinelli M et al (2014) Analysis of the potentials of multi criteria decision analysis methods to conduct sustainability assessment. Ecol Indic 46:138–148

    Article  Google Scholar 

  • Coelho HMG et al (2012) Proposal of an environmental performance index to assess solid waste treatment technologies. Waste management, New York, pp 1–9

    Google Scholar 

  • Coli M et al (2011) Monitoring environmental efficiency: an application to Italian provinces. Environmental Pilot modelling & Software 26(1):38–43

    Article  Google Scholar 

  • Despeisse M et al (2012) Industrial ecology at factory level: a conceptual pilot model. J Clean Prod 31:30–39

    Article  Google Scholar 

  • Eckelman MJ, Chertow MR (2009) Quantifying life cycle environmental benefits from the reuse of industrial materials in Pennsylvania. Environmental science & technology 43(7):2550–2556

    Article  CAS  Google Scholar 

  • Ehrenfeld J, Gertler N (1997) Industrial ecology in practice: the evolution of interdependence at Kalundborg. J Ind Ecol:67–79

  • Erkman S (1997) Industrial ecology: an historical view. Journal Cleaner Production 5(1):2–10

    Google Scholar 

  • Geng Y et al (2009) Implementing China’s circular economy concept at the regional level: a review of progress in Dalian, China. Waste Manag 29(2):996–1002

    Article  Google Scholar 

  • Geng Y, Liu Z, Xue B, Dong H, Fujita T, Chiu A (2014) Emergy-based assessment on industrial symbiosis: a case of Shenyang Economic and Technological Development Zone. Environ Sci Pollut Res 21:13572–13587

    Article  Google Scholar 

  • Giannetti BF, Bonilla SH, Silva IR, Almeida CMVB (2008) Cleaner production practices in a medium size gold-plated jewelry company in Brazil: when little changes make the difference. J Clean Prod 16(10):1106--1117

  • Giuliani, E (2006) Networks and heterogeneous performance of cluster firms. Urban and Regional Research Centre Utrecht Available at <http://econ.geo.uu.nl/peeg/peeg0602.pdf> Access 26.05.2015

  • Goldstein D et al (2011) Environmental performance and practice across sectors: methodology and preliminary results. J Clean Prod 19(9–10):946–957

  • Gomes LFAM et al (2004) Tomada de Decisões em Cenários Complexos. Thomson 2004:168p

  • Heeres RR, Vermeulen WJV (2004) Eco-industrial park initiatives in the USA and the Netherlands: first lessons. J Clean Prod 12(8–10):985–995

    Article  Google Scholar 

  • Heidrich O et al (2009) Stakeholder analysis for industrial waste management systems. Waste Manag 29(2):965–973

    Article  Google Scholar 

  • IS LINKED IN – Industrial Symbiosis Group (2013) On line. Available at: <http://www.linkedin.com/groups/Industrial-Symbiosis-1845383>. Access: 18 april, 2013

  • Jensen PD (2016) The role of geospatial industrial diversity in the facilitation of regional industrial symbiosis. Resour Conserv Recycl 107:92–103

    Article  Google Scholar 

  • Jensen PD et al (2011) Quantifying “geographic proximity”: experiences from the United Kingdom’s National Industrial Symbiosis Programme. Resour Conserv Recycl 55(7):703–712

    Article  Google Scholar 

  • Klir GA, Yuan B (1995) Fuzzy sets and fuzzy logic. Academic Press, New York

    Google Scholar 

  • Korhonen J (2002) A material and energy flow pilot model for co-production of heat and power. J Clean Prod 10(6):537–544

    Article  Google Scholar 

  • Kovanda J et al (2009) Analysis of regional material flows: the case of the Czech Republic. Resour Conserv Recycl 53(5):243–254

    Article  Google Scholar 

  • Lehtoranta S et al (2011) Industrial symbiosis and the policy instruments of sustainable consumption and production. J Clean Prod 19(16):1865–1875

    Google Scholar 

  • Leigh M, Li X (2015) Industrial ecology, industrial symbiosis and supply chain environmental sustainability: a case study of a large UK distributor. J Clean Prod 106:632–643

    Article  Google Scholar 

  • Leite JAA (2000) Macroeconomia. Editora Atlas, São Paulo 2000

  • Li, Y-R (2009) The technological roadmap of Cisco’s business ecosystem. Technovation 29(5):379--386

  • Li W, Cui Z, Han F (2015) Methods for assessing the energy-saving efficiency of industrial symbiosis in industrial parks. Environ Sci Pollut Res 22:275–285

    Article  Google Scholar 

  • Liwarska-Bizukojc E et al (2009) The conceptual pilot model of an eco-industrial park based upon ecological relationships. J Clean Prod 17(8):732–741

    Article  Google Scholar 

  • Mattila TJ et al (2010) Quantifying the total environmental impacts of an industrial symbiosis - a comparison of process -, hybrid and input-output life cycle assessment. Environmental science & technology 44(11):4309–4314

    Article  CAS  Google Scholar 

  • Mu H et al (2011) Improved emergy indices for the evaluation of industrial systems incorporating waste management. Ecol Eng 37(2):335--342

  • Ohnishi S et al (2012) Econometric analysis of the performance of recycling projects in Japanese eco-towns. J Clean Prod 2012

  • Oliveira, H. A Jr.. 2006. Análise por árvores de falhas usando estimadores de plausibilidade máxima e lógica Fuzzy. 2006. Programa de Pós-Graduação em Administração das Faculdades Ibmec. Rio de Janeiro

  • Oliveira, J. K. C. 2012. Controle inteligente de pressão para uma rede sem reservatório de abastecimento urbano de água. 2012. 90 f. Dissertação (Mestrado) – Programa de Pós-Graduação em Engenharia Elétrica e de Computação da UFRN. Natal, 2012

  • Pakarinen S et al (2010) Sustainability and industrial symbiosis: the evolution of a Finnish forest industry complex. Resour Conserv Recycl 54(12):1393–1404

    Article  Google Scholar 

  • Park HS, Behera SK (2014) Methodological aspects of applying eco-efficiency indicators to industrial symbiosis networks. J Clean Prod 64:478–485

    Article  Google Scholar 

  • Ragin CC, Pennings P (2005) Fuzzy sets and social research. Sociol Methods Res 33:423–430

    Article  Google Scholar 

  • Rodríguez MTT et al (2011) Combining LCT tools for the optimization of an industrial process: material and energy flow analysis and best available techniques. J Hazard Mater 192(3):1705–1719

    Article  Google Scholar 

  • Sayão LF (2001) Pilot modelos teóricos em Ciência da Informação – abstração e método científico. Ci. Inf. Brasília 30(1):82–91

    Google Scholar 

  • Schmidt M, Schwegler R (2008) A recursive ecological indicator system for the supply chain of a company. J Clean Prod 16(15):1658–1664

    Article  Google Scholar 

  • Schoenherr, T. 2011. The role of environmental management in sustainable business development: a multi-country investigation. Int J Prod Econ 1–13

  • Schönsleben P et al (2010) The changing concept of sustainability and economic opportunities for energy-intensive industries. CIRP Ann Manuf Technol 59(1):477–480

    Article  Google Scholar 

  • Singh RK et al (2012) An overview of sustainability assessment methodologies. Ecol Indic 15:281–299

    Article  Google Scholar 

  • Smith, L.; Ball, P. 2012. Steps towards sustainable manufacturing through pilot modeling material, energy and waste flows. Int J Prod Econ 1–12

  • Sopha BM et al (2009) Using systems engineering to create a framework for evaluating industrial symbiosis options. Syst Eng 13(2):149–160

    Google Scholar 

  • Taskhiri MS et al (2011) Emergy-based fuzzy optimization approach for water reuse in an eco-industrial park. Resour Conserv Recycl 55(7):730–737

    Article  Google Scholar 

  • Tiejun D (2010) Two quantitative indices for the planning and evaluation of eco-industrial parks. Resour Conserv Recycl 54(7):442–448

    Article  Google Scholar 

  • Vachon S, Klassen RD (2008) Environmental management and manufacturing performance: the role of collaboration in the supply chain. Int J Prod Econ 111(2):299–315

    Article  Google Scholar 

  • Veiga LBE, Magrini A (2009) Eco-industrial park development in Rio de Janeiro, Brazil: a tool for sustainable development. J Clean Prod 17(7):653–661

    Article  Google Scholar 

  • Wang Q, Qiu S, Yuan X, Zuo J, Cao D, Hong J, Zhang J, Dong Y, Zheng Y (2016) Stability of ecological industry chain: an entropy model approach. Environ Sci Pollut Res 2016

  • Yang S, Feng N (2008) A case study of industrial symbiosis: Nanning Sugar Co., Ltd. in China. Resour Conserv Recycl 52(5):813–820

    Article  Google Scholar 

  • Yazan DM, Romano VA, Albino V (2016) The design of industrial symbiosis: an input-output approach. Journal of Cleaner Production xxx 2016:1–11

    Google Scholar 

  • Yu F, Han F, Cui Z (2015) Assessment of life cycle environmental benefits of an industrial symbiosis cluster in China. Environ Sci Pollut Res 22:5511–5518

    Article  Google Scholar 

  • Zadeh LA (1988) Fuzzy Logic. Computer 21(4):83–93

    Article  Google Scholar 

  • Zhang X et al (2008) Pilot model-centered approach to early planning and design of an eco-industrial park around an oil refinery. Environmental science & technology 42(13):4958–4963

    Article  CAS  Google Scholar 

  • Zhang XH et al (2011) Emergy evaluation of the impact of waste exchanges on the sustainability of industrial systems. Ecol Eng 37(2):206–216

    Article  Google Scholar 

  • Zhang Y et al (2016) Network analysis of eight industrial symbiosis systems. Front Earth Sci 10(2):352–365

    Article  Google Scholar 

  • Zhu Q et al (2012) Green supply chain management innovation diffusion and its relationship to organizational improvement: an ecological modernization perspective. J Eng Technol Manag 29(1):168–185

    Article  Google Scholar 

Download references

Acknowledgements

The authors would like to thank the Coordination for the Improvement of Higher Education Personnel (CAPES), foundation within the Ministry of Education in Brazil, for the financial support and for the scholarship process no. 88881.133430/2016-01.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Adriana Valélia Saraceni.

Additional information

Responsible editor: Philippe Garrigues

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Saraceni, A.V., Resende, L.M., de Andrade Júnior, P.P. et al. Pilot testing model to uncover industrial symbiosis in Brazilian industrial clusters. Environ Sci Pollut Res 24, 11618–11629 (2017). https://doi.org/10.1007/s11356-017-8794-y

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s11356-017-8794-y

Keywords

Navigation