The Near-Optimal Feasible Space of a Renewable Power System Model

摘要: Abstract Models for long-term investment planning of the power system typically return a single optimal solution per set cost assumptions. However, there are many near-optimal alternatives that stand out due to other attractive properties like social acceptance. Understanding features persist across cost-efficient enhances policy advice and acknowledges structural model uncertainties. We apply modeling-to-generate-alternatives (MGA) methodology systematically explore feasible space completely renewable European electricity model. While accounting complex spatio-temporal patterns, we allow simultaneous capacity expansion generation, storage transmission infrastructure subject linearized multi-period flow. Many similarly costly, but technologically diverse solutions exist. Already deviation 0.5% offers large range possible investments. either offshore or onshore wind energy along with some hydrogen network reinforcement appear essential keep costs within 10% optimum.