Deep CO2 emission reductions in a global bottom-up model approach

摘要: Most studies that explore deep GHG emission reduction scenarios assume climate goals are reached by implementing least-cost mitigation options, typically a global carbon tax. Although such method provides insight into total costs, it does not provide much information about how to achieve transition towards low-carbon energy system, which is of critical importance achieving ambitious targets. To enable sensible strategies, this study analysed the effectiveness 16 specific measures on level up 2050, using an energy-system simulation model called TIMER. The range from efficiency measures, like banning traditional light bulbs and subsidizing electric vehicles, broader policies introducing tax in electricity sector. All combined lead CO2 reductions ranging between 39% 73% compared baseline depending inclusion sectoral taxes availability capture storage (CCS) nuclear power. differs largely across regions, indicates aimed at stimulating production result highest all regions.Policy relevanceThe results calculations can be used evaluate effects individual change identify priorities discussions regional policies. type fragmented policy presented here could relevant bottom-up alternative cost-optimal implementation driven We overlapping even counter-productive through analysis presents region, set addresses largest emitting sectors represents options often discussed as part planned