Industrial symbiosis (IS) has proven to bring collective benefits to multiple stakeholders by minimising underutilised resources, sharing knowledge and improving business and technical processes. In Europe alone, over €130 million have been invested since 2006 in research projects that enable IS by developing a methodology, tool, software, platform or network that facilitates the uptake of IS by different economic actors. This paper discusses and assesses information technology (IT) developments for supporting IS in Europe, following the five-stage methodology of Grant et al. (2010). It provides guidance to the applicants and reviewers of publicly funded research projects by listing the developments and gaps in the newly developed IT tools for IS. Content analysis of publicly available information on 20 IS supporting IT tools reveals a strong focus on synergy identification but a lack of support for the implementation stage of IS. The paper indicates that a vast quantity of IT tools and knowledge is created during the IT tool development stage and newer IT tools now also include implicit information for identifying IS. It was found that successfully operational IT tools are either part of a national or local IS programme or owned by a private company. The paper ends with the recommendation that better mechanisms are needed to ensure that publicly funded IS-supporting IT tools successfully reach the market.

For the last 20 years, the field of industrial symbiosis (IS) has raised interest among academics and industries. IS consists of dissimilar entities sharing and valorising underutilised resources such as materials, energy, information, services, or technologies in the view of increasing the industrial system’s circularity. Despite the benefits brought by IS, though, barriers hindering the full dissemination of IS remain. This paper presents a methodology developed in the framework of the H2020 European project EPOS that aims at removing some of the obstacles to the implementation of IS. The method follows a multidisciplinary approach that intents to trigger the interest of industry decision-makers and initiate efforts to optimise the use of energy and material resources through symbiosis. It is applied to an industrial cluster located in the Humber region of UK. The case study shows how the approach helped to identify several IS opportunities, how one particular high-potential symbiosis was further assessed, and how it led to the creation of a business case. It was estimated that the identified symbiosis could bring substantial economic (+2000 k€ pa), environmental (−4000 t of CO₂ eq. pa) and social (+7 years of healthy life) gains to the region.

Since the Green Deal, ambitious climate and resource neutrality goals have been set in Europe. Here, process industries hold a unique position due to their energy and material transformation capabilities. They are encouraged to develop cross-sectorial hubs for achieving not only climate ambition, but also joining a circular economy through urban–industrial symbiosis with both business and community stakeholders. This research proposes a data-based approach to identify potential hub locations by means of cluster analysis. A total of three different algorithms are compared on a set of location and pollution data of European industrial facilities: K-means, hierarchical agglomerative and density-based spatial clustering. The DBSCAN algorithm gave the best indication of potential locations for hubs because of its capacity to tune the main parameters. It evidenced that predominately west European countries have a high potential for identifying hubs for circularity (H4Cs) due to their industrial density. In Eastern Europe, the industrial landscape is more scattered, suggesting that additional incentives might be needed to develop H4Cs. Furthermore, industrial activities such as the production of aluminium, cement, lime, plaster, or electricity are observed to have a relatively lower tendency to cluster compared with the petrochemical sector. Finally, further lines of research to identify and develop industrial H4Cs are suggested.

Energy saving, reduction of greenhouse gasses and increased use of renewables are key policies to achieve the European 2020 targets. In particular, distributed renewable energy sources, integrated with spatial planning, require novel methods to optimise supply and demand. In contrast with large scale wind turbines, small and medium wind turbines (SMWTs) have a less extensive impact on the use of space and the power system, nevertheless, a significant spatial footprint is still present and the need for good spatial planning is a necessity. To optimise the location of SMWTs, detailed knowledge of the spatial distribution of the average wind speed is essential, hence, in this article, wind measurements and roughness maps were used to create a reliable annual mean wind speed map of Flanders at 10 m above the Earth’s surface. Via roughness transformation, the surface wind speed measurements were converted into meso- and macroscale wind data. The data were further processed by using seven different spatial interpolation methods in order to develop regional wind resource maps. Based on statistical analysis, it was found that the transformation into mesoscale wind, in combination with Simple Kriging, was the most adequate method to create reliable maps for decision-making on optimal production sites for SMWTs in Flanders (Belgium).