Policy Decision Support for Renewables Deployment through Spatially Explicit Practically Optimal Alternatives

摘要: Summary Designing highly renewable power systems involves a number of contested decisions, such as where to locate generation and transmission capacity. Yet, it is common use single result from cost-minimizing energy system model inform planning. This neglects many more alternative results, which might, for example, avoid problematic concentrations technology capacity in any one region. To explore alternatives, we develop method generate spatially explicit, practically optimal results (SPORES). Applying SPORES Italy, find that only photovoltaic storage technologies are vital components decarbonizing the by 2050; other locating wind power, allow flexibility choice. Most configurations insensitive cost demand uncertainty, while dealing with adverse weather requires excess capacities. For policymakers, approach can provide detailed transformation options enable decisions socially politically acceptable.