AI-driven feasibility studies for circular gas capture, separation and storage from local industrial waste streams

This service offers fast, high‑value feasibility studies for projects that aim to valorize local waste gas streams through circular energy integration. Using our proprietary AI‑driven computational chemistry and system modelling platform, we evaluate the technical and economic potential of gas capture, purification and storage solutions tailored to your specific site and waste streams.

In a typical study, we:

• Characterise relevant waste gas streams (biogas, industrial CO₂, syngas, process off‑gases) and define realistic operating conditions in collaboration with the client.

• Screen thousands of advanced porous materials (e.g. MOFs, COFs, sorbents) in silico to identify the best candidates for selective capture, purification and storage.

• Simulate full process configurations (adsorbers, tanks, hybrid systems) to estimate capacity, energy consumption, footprint and integration options with existing assets.

• Deliver clear techno‑economic indicators (CAPEX/OPEX ranges, LCOE/LCOH impact, payback time) to de‑risk investment decisions and support funding applications.

The outcome is a decision‑ready feasibility report that helps industrial partners, municipalities and consortia decide whether and how to turn local waste gases into efficient energy carriers, with concrete next steps for piloting and implementation. This service is ideal for partners preparing RIVCircular proposals, regional circularity roadmaps or innovation pilots focused on waste‑to‑energy and industrial decarbonization.