SWAN platform: A web-based tool to support the development of industrial solid waste reuse business models

The SWAN platform is an integrated suite of online resources and tools for assessing industrial symbiotic opportunities based on solid industrial waste reuse. It has been developed as a digital solid waste reuse platform and is already applied in four countries (Greece, Bulgaria, Albania and Cyprus). The SWAN platform integrates a database with the spatial and technical characteristics of industrial solid waste producers and potential consumers, populated with data from these countries. It also incorporates an inventory of commercially implemented best practices on solid industrial waste reuse. The role of the SWAN platform is to facilitate the development of novel business cases. Towards this end, decision support services, based on a suitable matching algorithm, are provided to the registered users, helping them to identify and assess potential novel business models, based on solid waste reuse, either for an individual industrial unit (source/potential receiver of solid waste) or a specific region.

[1]  S. S. Chopra,et al.  Blockchain-based Online Information Sharing Platform for Improving the Resilience of Industrial Symbiosis-based Multi Energy Systems , 2020 .

[2]  Luca Fraccascia,et al.  Quantifying the direct network effect for online platforms supporting industrial symbiosis: an agent-based simulation study , 2020 .

[3]  Zhiquan Yeo,et al.  Tools for promoting industrial symbiosis: A systematic review , 2019, Journal of Industrial Ecology.

[4]  Amtul Samie Maqbool,et al.  An Assessment of European Information Technology Tools to Support Industrial Symbiosis , 2018, Sustainability.

[5]  D. Deselnicu,et al.  Towards a circular economy: A zero waste programme for Europe , 2014 .

[6]  M. Hekkert,et al.  Conceptualizing the Circular Economy: An Analysis of 114 Definitions , 2017 .

[7]  Carmen Ruiz-Puente,et al.  Development of the Tool SymbioSyS to Support the Transition Towards a Circular Economy Based on Industrial Symbiosis Strategies , 2016, Waste and Biomass Valorization.

[8]  S. Ulgiati,et al.  A review on circular economy: the expected transition to a balanced interplay of environmental and economic systems , 2016 .

[9]  Markus Kraft,et al.  Quantitative tools for cultivating symbiosis in industrial parks; a literature review , 2015 .

[10]  Aidong Yang,et al.  e-Symbiosis: technology-enabled support for industrial symbiosis targeting SMEs and innovation , 2015 .

[11]  Graham Aid,et al.  Looplocal - a heuristic visualization tool to support the strategic facilitation of industrial symbiosis , 2015 .

[12]  Fabrizio Passarini,et al.  Feasibility of Industrial Symbiosis in Italy as an Opportunity for Economic Development: Critical Success Factor Analysis, Impact and Constrains of the Specific Italian Regulations , 2015 .

[13]  Kai Zhang,et al.  Implementing a three-level approach in industrial symbiosis , 2015 .

[14]  Serge Domenech,et al.  Optimization methods applied to the design of eco-industrial parks: a literature review , 2015 .

[15]  Matthew Leach,et al.  Quantifying ‘geographic proximity’: Experiences from the United Kingdom's National Industrial Symbiosis Programme , 2011 .

[16]  Thomas P. Seager,et al.  Information and Communication Technology for Industrial Symbiosis , 2010 .

[17]  A new Circular Economy Action Plan: For a cleaner and more competitive Europe , 2020 .

[18]  Tobias Bestari Tjandra,et al.  A collaboration platform for enabling industrial symbiosis: Towards creating a self-learning waste-to-resource database for recommending industrial symbiosis transactions using text analytics , 2019, Procedia CIRP.

[19]  Werner Esswein,et al.  Designing Industrial Symbiosis Platforms - from Platform Ecosystems to Industrial Ecosystems , 2018, PACIS.

[20]  Zhiquan Yeo,et al.  Industrial Symbiosis: Exploring Big-data Approach for Waste Stream Discovery☆ , 2017 .

[21]  Denis Kurle,et al.  Collaboration Platform for Enabling Industrial Symbiosis: Application of the By-product Exchange Network Model ☆ , 2017 .

[22]  Guido van Capelleveen,et al.  A Literature Survey of Information Systems Facilitating the Identification of Industrial Symbiosis , 2017, EnviroInfo.

[23]  Dominic Stead,et al.  Industrial Symbiosis (IS) , 2016 .