Using Big Data Simulation Models for Real-world Scenarios for CO2 Removal
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Using Big Data Simulation Models for Real-world Scenarios for CO2 Removal
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In this episode, Professor David Beerling is joined by Dr Euripides Kantzas to explore how big data, simulation and optimisation modelling are used to understand how Enhanced Rock Weathering (ERW) could be deployed at scale with agriculture for carbon dioxide removal.
They discuss how combining data from field trials, crop systems, transport networks, geological resources and climate datasets enables researchers to simulate real-world deployment scenarios and assess where ERW could deliver the greatest climate benefits.
The conversation also explores the challenges of scaling carbon dioxide removal technologies, including practical, environmental and economic considerations, and how modelling helps inform these trade-offs.
Together, they reflect on how advances in computational modelling are helping to transform ERW from a promising scientific concept into a credible, scalable climate mitigation strategy.