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arXiv 2609.36468eess.SYcs.SY

马萨诸塞州2026年清洁峰值标准重新校准:适应性与储能权衡

Massachusetts' 2026 Clean Peak Standard Recalibration: Adaptation and Storage Tradeoffs

Yuhan Dai, Boyu Yao

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中文总结 AI 辅助

本文评估马萨诸塞州2026年清洁峰值标准重新校准的影响,发现其降低储能需求并节省成本,但削弱了清洁峰值实际性能,排放因RGGI上限而基本不变。

中文摘要 AI 辅助

马萨诸塞州于2026年重新校准了其清洁峰值标准(CPS),降低了最低标准并扩大了合格储能的近期资源乘数。本文使用一个三区域、小时级容量扩展模型评估了这一变化,时间跨度为2026年至2030年。两种情景均实现了完全符合CPS要求,但5月后的情景将新增电池容量减少了53.1%,并将模型化系统成本降低了3.7%。符合CPS条件的放电量下降了30.4%,而清洁峰值能源证书产量仅下降了9.5%。在CPS时段内,化石燃料发电量增加了11.7%,而由于区域温室气体倡议(RGGI)的排放上限具有约束力,模型化排放量几乎保持不变。因此,重新校准降低了模型化的储能容量需求,同时削弱了实际的清洁峰值性能。

英文摘要

Massachusetts recalibrated its Clean Peak Standard (CPS) in 2026 by lowering the minimum standards and expanding the Near-Term Resource Multiplier for qualifying storage. This paper evaluates the change using a three-zone, hourly capacity expansion model for 2026--2030. Both scenarios achieve full CPS compliance, but the post-May scenario reduces new battery additions by 53.1% and modeled system cost by 3.7%. CPS-eligible discharge declines by 30.4%, while Clean Peak Energy Certificate production declines by only 9.5%. Fossil generation during CPS hours increases by 11.7%, whereas modeled emissions remain nearly unchanged because the Regional Greenhouse Gas Initiative cap binds. The recalibration therefore lowers the modeled storage capacity requirement while weakening physical clean-peak performance.

发表机构

  • Thayer School of Engineering Dartmouth College(达特茅斯学院塔克工程学院)
  • Department of Civil and Systems Engineering Johns Hopkins University(约翰斯·霍普金斯大学土木与系统工程系)

机构由 AI 辅助整理,请以论文原文为准。

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