Top-down Methodology to Identify Opportunities for Industrial Symbiosis Partnerships
Doktorsavhandling, 2020
The promotion and implementation of Industrial Symbiosis (IS) partnerships is one of the strategies for implementation of Circular Economy concepts. IS has been recognized by the European Union as a tool that can be used to promote sustainable growth and resource efficiency, by enabling companies to use wastes, energy, or water generated by other companies as raw materials in their industrial processes.
In reality, however companies face numerous challenges when trying to find opportunities to engage in IS partnerships. One way to expand the opportunities for Industrial Symbiosis is by broadening its scope from eco-industrial parks to entire regions, by exploring the potential for using wastes already available in the region as raw materials. This may also reduce dependence on resource extraction and materials imported from other countries.
Bottom-up approaches are commonly used to identify opportunities for IS partnerships, and include tools like surveys and workshops. However, these approaches can be difficult to implement, primarily because of time and cost constraints. Fortunately, as it is now possible to collect large datasets, top-down approaches can be used to develop tools that facilitate identification of IS opportunities.
The aim of this thesis is to develop a top-down methodology for mapping IS opportunities and identifying potential stakeholders. Types of materials that can be reused and recycled are identified, as well as companies that may collaborate by sharing resources. The method can be applied at different spatial scales, from industrial parks to municipalities, regions, or countries. It employs routinely reported statistical data for industries, which enables simple data acquisition and ensures that any changes in the production processes are captured. It contains information on approximately 100 industries, 1,250 products, and 800 waste types.
The results show that currently available datasets can be used to identify IS opportunities, and that input materials and wastes generated by industries can be predicted. After matching inputs to wastes, a tool based on two databases was developed. This tool can be used to identify opportunities for IS partnerships within any region in Europe. The tool was tested in the Västra Götaland Region of Sweden, in three case studies: one for wood wastes, one for biogas, and another for carbon capture and utilization. The results can be used by regional development authorities or other institutions to support the establishment of IS partnerships.
Circular Economy
Top-down methods
Industrial Waste
Recycling
Material Inputs
Industrial Symbiosis
Författare
Joao Patricio
Chalmers, Arkitektur och samhällsbyggnadsteknik, Vatten Miljö Teknik
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The promotion and implementation of Industrial Symbiosis (IS) partnerships is one of the strategies for implementation of Circular Economy concepts. IS can be used to promote sustainable growth and resource efficiency, by enabling companies to use wastes, energy, or water generated by other companies as raw materials in their industrial processes.
Bottom-up approaches are commonly used to identify opportunities for IS partnerships, and include tools like surveys and workshops. However, these approaches can be difficult to implement, primarily because of time and cost constraints. Fortunately, as it is now possible to collect large datasets, top-down approaches can be used to develop tools that facilitate identification of IS opportunities. In that matters, this thesis presents a top-down methodology for mapping IS opportunities and identifying potential stakeholders. Types of materials that can be reused and recycled are identified, as well as companies that may collaborate by sharing resources. The method employs reported statistical data for industries can be applied at different spatial scales.
The results show that currently available datasets can be used to identify IS opportunities, and that input materials and wastes generated by industries can be predicted. After matching inputs to wastes, a tool based on two databases was developed. The tool was tested in the Västra Götaland Region of Sweden, in three case studies: one for wood wastes, one for biogas, and another for carbon capture and utilization. The results can be used by regional development authorities or other institutions to support the establishment of IS partnerships.
Drivkrafter
Hållbar utveckling
Ämneskategorier
Naturresursteknik
ISBN
978-91-7905-342-0
Doktorsavhandlingar vid Chalmers tekniska högskola. Ny serie: 4809
Utgivare
Chalmers
Opponent: Professor Mats Eklund, Institutionen för Ekonomisk och Industriell Utveckling, Linköpings universitet, Sweden