Probabilistic Modeling of Climate Change Impacts on Renewable Energy and Storage Requirements for NM's Energy Transition Act (SAND report).

C. Ho, E. Roesler, T. Nguyen, James F. Ellison
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Abstract

This paper provides a study of the potential impacts of climate change on intermittent renewable energy resources, battery storage, and resource adequacy in Public Service Company of New Mexico’s Integrated Resource Plan for 2020–2040. Climate change models and available data were first evaluated to determine uncertainty and potential changes in solar irradiance, temperature, and wind speed in NM in the coming decades. These changes were then implemented in solar and wind energy models to determine impacts on renewable energy resources in NM. Results for the extreme climate-change scenario show that the projected wind power may decrease by ∼13% due to projected decreases in wind speed. Projected solar power may decrease by ∼4% due to decreases in irradiance and increases in temperature in NM. Uncertainty in these climate-induced changes in wind and solar resources was accommodated in probabilistic models assuming uniform distributions in the annual reductions in solar and wind resources. Uncertainty in battery storage performance was also evaluated based on increased temperature, capacity fade, and degradation in round-trip efficiency. The hourly energy balance was determined throughout the year given uncertainties in the renewable energy resources and energy storage. The loss of load expectation (LOLE) was evaluated for the 2040 No New Combustion portfolio and found to increase from 0 days/year to a median value of ∼2 days/year due to potential reductions in renewable energy resources and battery storage performance and capacity. A rank-regression analyses revealed that battery round-trip efficiency was the most significant parameter that impacted LOLE, followed by solar resource, wind resource, and battery fade. An increase in battery storage capacity to ∼30,000 MWh from a baseline value of ∼14,000 MWh was required to reduce the median value of LOLE to ∼0.2 days/year with consideration of potential climate impacts and battery degradation.
气候变化对可再生能源影响的概率模型和NM能源转型法案的存储要求(SAND报告)。
本文研究了气候变化对新墨西哥州2020-2040年综合资源计划公共服务公司间歇性可再生能源资源、电池存储和资源充足性的潜在影响。首先对气候变化模式和现有数据进行评估,以确定未来几十年NM的太阳辐照度、温度和风速的不确定性和潜在变化。然后在太阳能和风能模型中实施这些变化,以确定对NM可再生能源的影响。极端气候变化情景的结果表明,由于风速的减少,预估的风力可能会减少~ 13%。由于辐照度的降低和NM温度的升高,预计的太阳能功率可能会下降~ 4%。这些气候引起的风能和太阳能资源变化的不确定性被纳入概率模型,假设太阳能和风能资源的年减少量均匀分布。电池存储性能的不确定性也根据温度升高、容量衰减和往返效率下降进行了评估。考虑到可再生能源和能源储存的不确定性,每小时的能源平衡是全年确定的。对2040年无新燃烧组合的负荷预期损失(LOLE)进行了评估,发现由于可再生能源资源和电池存储性能和容量的潜在减少,负荷预期损失(LOLE)从每年0天增加到每年2天的中位数。秩回归分析表明,电池往返效率是影响LOLE最显著的参数,其次是太阳能资源、风能资源和电池老化。考虑到潜在的气候影响和电池退化,需要将电池存储容量从基线值~ 14,000 MWh增加到~ 30,000 MWh,以将LOLE的中位数降低到~ 0.2天/年。
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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