Electricity Load and Carbon Dioxide Emissions: Effects of a Carbon Price in the Short Term

Adam Newcomer, S. Blumsack, J. Apt, L. Lave, M. G. Morgan
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引用次数: 10

Abstract

Stabilizing atmospheric carbon dioxide levels at acceptable levels will require a dramatic de-carbonization of the electric generation sector in the U.S. One increasingly discussed way to meet this policy goal is to put an explicit price on carbon emissions, either through a tax or a trading scheme. Increasing demand response has also been discussed as a way to reduce carbon emissions in the U.S. electricity industry. We examine the short-run effectiveness of a policy combining demand response with a carbon tax. Using plant-level operational data, we construct short-run cost curves for three U.S. regional electric systems, and examine the impacts on prices and carbon emissions. In the short run, a carbon tax in the range of $30 - $40 and a price elasticity of demand in the range of -0.1 to -0.2 could reduce carbon emissions in coal-intensive regions by 10% to 25%. With this same set of carbon prices, achieving a 50% reduction in emissions would require a price elasticity of demand in the range of -0.25 to -0.4. Percentage reductions of this magnitude in less carbon-intensive systems are unlikely, even with highly elastic demand and high carbon prices.
电力负荷与二氧化碳排放:短期内碳价的影响
将大气中的二氧化碳水平稳定在可接受的水平上,需要美国发电部门大幅去碳化。实现这一政策目标的一种日益被讨论的方法是通过税收或交易计划为碳排放设定明确的价格。增加需求响应也被作为减少美国电力行业碳排放的一种方式进行了讨论。我们考察了将需求响应与碳税相结合的政策的短期有效性。使用工厂级运行数据,我们构建了美国三个区域电力系统的短期成本曲线,并检查了对价格和碳排放的影响。在短期内,碳税在30 - 40美元之间,需求的价格弹性在-0.1 -0.2之间,可以使煤炭密集地区的碳排放量减少10% - 25%。在同样的碳价格下,实现50%的减排需要需求的价格弹性在-0.25到-0.4之间。即使在高弹性需求和高碳价格的情况下,在碳密集度较低的系统中也不太可能实现如此幅度的百分比减少。
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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