Highlighting regional decarbonization challenges with novel capacity expansion model

Amanda Farnsworth , Emre Gençer
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引用次数: 1

Abstract

This paper highlights the importance of regionally tailored decarbonization strategies to reach emissions intensity targets. The presented Ideal Grid model was used to compare and contrast decarbonization strategies for 9 regions of the continental US. For each of these regions, techno-economic analysis (TEA) and life-cycle assessment (LCA) are completed to track emissions intensity and electricity cost based on system installations. Ten technologies are included in this analysis: nuclear, wind, solar, natural gas (3 types), coal (3 types), and energy storage (lithium-ion batteries). The impact of carbon ceilings and carbon taxes are explored. It is shown that a carbon tax can linearly incentivize decarbonization in certain regions and exponentially incentivize decarbonization in other regions. It is shown that wind capacity factors can be used to indicate decarbonization strategies due to a strong correlation that is explored. At deep decarbonization levels (25 gCO2/kWh), regions have a varying reliance on nuclear. Regions source anywhere from 27-72% of their electricity from nuclear, with electricity costs ranging from $112/MWh to $137/MWh. At lenient decarbonization targets (100 gCO2/kWh), electricity costs range from $93/MWh to $112/MWh.

Abstract Image

用新型产能扩张模式凸显区域脱碳挑战
本文强调了区域定制脱碳战略对实现排放强度目标的重要性。所提出的理想电网模型用于比较和对比美国大陆9个地区的脱碳策略。对于每个地区,都完成了技术经济分析(TEA)和生命周期评估(LCA),以跟踪基于系统安装的排放强度和电力成本。本分析包括十项技术:核能、风能、太阳能、天然气(3种)、煤炭(3种类型)和储能(锂离子电池)。探讨了碳上限和碳税的影响。研究表明,碳税可以线性激励某些地区的脱碳,而指数激励其他地区的脱碳。研究表明,由于所探索的相关性很强,风电容量因素可以用来指示脱碳策略。在深度脱碳水平(25 gCO2/kWh)下,各地区对核能的依赖程度各不相同。各地区27-72%的电力来自核能,电力成本从112美元/兆瓦时到137美元/兆瓦小时不等。在宽松的脱碳目标(100 gCO2/kWh)下,电力成本从93美元/MWh到112美元/MWh不等。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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