可再生能源的企业产能和强制停运率假设如何影响产能扩张模型的结果

A. Elshurafa, Marie Petitet, F. Felder
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引用次数: 1

摘要

我们评估了可再生能源(RE)资源的企业容量(FC)和强制中断率(FOR)假设的变化如何影响产能扩张模型(CEM)。在沙特阿拉伯的一个电力系统模型上运行了8种不同FC和FOR、可再生能源份额目标和年度可再生能源吸收率的情景。假设相对较高的FC和相对较低的FOR有利于可再生能源(即乐观型可再生能源),而反之则不利于可再生能源(即悲观型可再生能源)。与乐观的可再生能源假设相比,悲观的可再生能源假设导致成本、排放和电池存储部署分别显著增加11%、17%和41%。然而,在资源充足性方面没有发现可观察到的模式。可再生能源技术被认为严重依赖天气,量化可再生能源技术的FC和FOR在多大程度上影响电力部门的投资,为决策者提供了有价值的见解,因为世界正在更积极地推进可再生能源的部署,以减少排放和应对气候变化。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
How Firm Capacity and Forced Outage Rate Assumptions of Renewables Impact Capacity Expansion Model Results
We assess how varying the firm capacity (FC) and forced outage rate (FOR) assumptions of renewable energy (RE) resources impact capacity expansion models (CEM). Eight scenarios that vary the FC and FOR, RE share targets, and annual RE uptake were run on a power system model of Saudi Arabia. Assuming a relatively high FC and relatively low FOR favors renewables (i.e., Optimistic-RE), while the opposite disfavors them (i.e., Pessimistic-RE). Compared with optimistic RE assumptions, the pessimistic RE assumptions result in significant increases reaching up to 11%, 17%, and 41% in costs, emissions, and battery storage deployment, respectively. However, no observable patterns were found in terms of resource adequacy. Quantifying the extent to which FC and FOR of RE technologies, which are considered heavily weather-dependent, impact investments in the power sector provides valuable insights for policymakers as the world moves forward more aggressively with RE deployment to reduce emissions and combat climate change.
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