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Presenter: Simon Roussanaly, SINTEF
While such cases could present opportunities for cost reduction compared to stand-alone implementation, significant efforts are required to identify the best clustering strategies, especially as many case-specific aspects (number of emission point sources, point source characteristics, distances, utilities availability, space constraints, etc.) influence the optimal clustering strategy.
To support the identification of cost-optimal clustering strategies, SINTEF Energy Research has developed a model for planning and evaluating strategies for pooling, capturing, and conditioning CO2 from an industrial clusters (multi-industry clusters or multi-sources industrial site).
The webinar will give an introduction to the model, how it has been used, and the learning that it enabled.