CO2 prices and system costs - a multi-scenario analysis with an agent-based electricity market model

Abstract

We conducted a scenario exploration using the agent-based energy system model AMIRIS. The fast model execution allows multiple scenario evaluations. Our analyses reveal multi-dimensional dependencies of different parameters, such as CO2 price, fuel costs, VRE share, flexibility in terms of storage, electricity demand, technological learning and coal phase-out. CO2 price turns out to be robust against other parameter configurations regarding the reduction of CO2 emissions. Further research is planned on parameter complexity and path dependence of energy systems.