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. 2021 Mar;39(3):489-498.
doi: 10.1177/0734242X21989413. Epub 2021 Feb 11.

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

Athanasios Angelis-Dimakis  1 , George Arampatzis  2 , Tryfonas Pieri  1 , Konstantina Solomou  1 , Panagiotis Dedousis  3 , George Apostolopoulos  4
Affiliations

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

Athanasios Angelis-Dimakis et al. Waste Manag Res. 2021 Mar.

Abstract

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.

Keywords: SWAN project; Solid waste; industrial symbiosis; web-based tool.

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Conflict of interest statement

Declaration of conflicting interests: The authors declared no potential conflicts of interest with respect to the research, authorship, and/or publication of this article.

Figures

Figure 1.
Figure 1.
SWAN platform database entity–relationship model.
Figure 2.
Figure 2.
Mapping functionality of the tool.
Figure 3.
Figure 3.
Inventory of best practices on industrial solid waste reuse.
Figure 4.
Figure 4.
Algorithm for the list of technically feasible solutions. DB: databases.
See this image and copyright information in PMC

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