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Evaluating scenarios of capacity expansion given high seasonal variability of electricity demand: the case of Saudi Arabia

机译:鉴于电力需求的季节性变化很大,评估产能扩张的情景:以沙特阿拉伯为例

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The Kingdom of Saudi Arabia (KSA) has experienced rapid growth in peak load and electricity consumption over the past decade. Under current demographic and economic trends, peak load is projected to nearly triple by 2032, which will require massive new investments in both conventional and alternative generation capacity. A unique aspect of KSA is that the electric load nearly doubles in the summertime, which means that high penetration of renewables and nuclear in the future will need to be supplemented by flexible, dispatchable technologies. This paper breaks down the load curve into different categories based on utilization, and then develops a technology-specific capacity expansion model to meet projected growth in these categories, net of future renewable or nuclear capacity additions. This higher-granularity approach is novel in System Dynamics, where previous work has used aggregated measures of demand and grid capacity. The paper evaluates different scenarios of demand growth, renewable and nuclear deployments, and conventional capacity plans across various economic and environmental metrics. Key tradeoffs are discussed to inform policy development, as are limitations.
机译:过去十年来,沙特阿拉伯王国(KSA)的高峰负荷和用电量迅速增长。根据当前的人口和经济趋势,到2032年,高峰负荷预计将增加近三倍,这将需要对常规和替代发电能力进行大规模的新投资。 KSA的独特之处在于,夏季的电力负荷几乎翻了一番,这意味着将来需要通过灵活的可调度技术来补充可再生能源和核能的高普及率。本文根据利用率将负荷曲线细分为不同的类别,然后开发一种技术特定的容量扩展模型,以适应这些类别的预期增长(扣除未来可再生或核能增加的容量)。这种更高粒度的方法在System Dynamics中是新颖的,以前的工作使用了需求和网格容量的合计度量。本文评估了各种经济和环境指标中需求增长,可再生能源和核能部署以及常规容量计划的不同方案。讨论了一些主要的权衡方法,以了解政策制定的局限性。

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