Identifies unexplored industrial symbiosis matches in manufacturing sectors, suggesting new waste reduction pathways.
The cement, glass, steel and ceramics sectors consume large amounts of raw materials and generate large amounts of by-products and wastes. Industrial symbiosis is a promising approach to reduce waste production and raw material extraction in manufacturing sectors. A key task within industrial symbiosis is the identification of symbiotic matches, in which a by-product output from one sector can be used to replace a raw material input from another sector. The lack of a systematic, compositionally-grounded approach to identifying symbiotic matches is a barrier to greater implementation of industrial symbiosis. In this study, element-based material flow analysis is developed as a novel approach to help identify previously unexplored cross-sectoral matches for industrial symbiosis. Element-based mapping was carried out on the material flows in the cement, glass, steel, ceramics sectors in the United Kingdom. Al, Ca, Fe, Mg and Si together comprise >95% of elemental flows for both input raw materials and output by-products. However, elemental flows of by-products are only ~14% of raw material elemental input flows across the cement, glass, steel and ceramics sectors. A Similarity Index based on Euclidean distance was developed to evaluate similarity in elemental composition between by-product outputs and raw material inputs. An initial screening was conducted on 103 potential matches, based on their similarity in elemental composition; a subsequent screening step based on a literature review and an industry-based workshop yielded six promising yet unexplored matches. This approach demonstrates value beyond conventional industrial symbiosis matching approaches, for improving circularity in industrial materials production.
No takes yet. Share an insight, caveat, or question.
Marsh et al. (2026) studied this question.
Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context: