The model version DART-CLIM is used to analyze international and European climate policies including carbon pricing and renewable energy policies. It thus includes renewable energies (wind, solar, hydro, biomass) and nuclear energy as well as carbon capture and storage (CCS) as a latent technology. In DART-CLIM the different generating technologies (including the renewable energies, nuclear power, and conventional technologies (coal, gas, oil)) produce electricity as a homogeneous good. By the implementation of a carbon price, low-emission technologies gain a competitive advantage over conventional generating technologies, and their path of implementation into the energy mix can be modelled. DART-CLIM includes technological learning, and a fixed resource is used in the CES-functions of electricity production to calibrate all technologies.
The model includes different carbon pricing options (taxes, emissions trading, conditional and unconditional targets) in order to investigate the influence of different policy options on the economy and the use of renewable energies. The model runs in time-steps of one year from 2011 to 2050, and covers 21 major world regions. Recent publications that have used DART-CLIM are e.g. the European Emission Trading System (EU ETS) (Peterson & Weitzel, 2016) and global climate regimes (Weitzel et al., 2014). For further information on DART-CLIM see Weitzel (2010). The model is being updated to the GTAP-POWER database in the course of the MOD_GW project.