SimCCS supports decision making on CO2 mitigation technology deployment by integrating applications in operations research, geographical information systems, CO2 capture modelling, pipeline engineering design, and reservoir engineering and geology. At its core, SimCCS is driven by a mixed-integer linear programming optimization engine for obtaining solutions that drive model decisions.
SimCCS produces optimal solutions for integrated CCUS infrastructure deployment in three different modes:
(1) SimCCSCAP: the model is given an exogenously-defined amount of CO2 to capture across one or more CO2-emitting sources. Consequently, SimCCS designs the least-cost set of infrastructure to manage the desired CO2 target. This is considered to be the version of SimCCS to operate within an emissions cap, or cap-and-trade environment. Alternatively, the user can define a fixed budget and let the optimization model maximize the amount of CO2 that can be managed within that budget.
(2) SimCCSPRICE: the model deploys infrastructure in response to a price (or tax) on CO2 emissions, essentially building CCUS infrastructure and managing CO2 flows at a cost lower than to simply emit the CO2 to the atmosphere.
(3) SimCCSTIME: the model introduces a temporal aspect to infrastructure deployment, building CCUS infrastructure during discrete time steps. The model can be executed in the context of either the CAP or PRICE mode.