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Policy Decision Support for Renewables Deployment through Spatially Explicit Practically Optimal Alternatives
Joule ( IF 39.8 ) Pub Date : 2020-08-24 , DOI: 10.1016/j.joule.2020.08.002
Francesco Lombardi , Bryn Pickering , Emanuela Colombo , Stefan Pfenninger

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



中文翻译:

通过空间明确的实际最佳替代方案为可再生能源部署提供政策决策支持

设计高度可再生的电力系统涉及许多有争议的决策,例如在哪里放置发电和输电能力。但是,通常使用最小化成本的能源系统模型中的单个结果来进行规划。这忽略了许多其他结果,例如,这些结果可能避免在任何一个地区集中技术能力的问题。为了探索这些替代方案,我们开发了一种方法来生成空间上明确的,实际最佳的结果(SPORES)。将SPORES应用于意大利,我们发现只有光伏和储能技术才是到2050年使电力系统脱碳的重要组成部分。其他决策(例如,确定风电)可以灵活选择。大多数替代配置对成本和需求不确定性不敏感,而应对恶劣天气则需要额外的可再生能源发电和存储容量。对于决策者而言,该方法可以提供空间详细的电力系统转换选项,从而使决策在社会和政治上都可以接受。

更新日期:2020-10-15
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