首页> 外文会议>Systems, Applications and Technology Conference (LISAT), 2012 IEEE Long Island >The effects of time-varying electricity tariffs on emissions in New York City
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The effects of time-varying electricity tariffs on emissions in New York City

机译:电价随时间变化对纽约市排放的影响

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Demand response has been demonstrated as a valuable resource for ensuring electric system reliability, deferring capacity upgrades, and improving cost efficiency. We quantify the emissions impact of residential demand response due to the implementation of time-varying electricity tariffs. Published demand response rates are used to model the effect of aggregate residential demand response on transmission system level loads. GE MAPS is used to model the electric grid and identify changes in the dispatch of generation due to demand response. We find that demand response substantially reduces power generation by peaking electricity units during peak hours. Further, we find that nitrogen oxide emissions in New York City fall by an average of 1.5 metric tons and particulate matter emissions fall by 0.02 metric tons on days when demand response is triggered. The peak electricity generating units (EGUs) responsible for emissions reductions have been identified as potentially causing substantially more health impacts per unit of emissions than other in-city generators.
机译:需求响应已被证明是确保电气系统可靠性,推迟容量升级和提高成本效率的宝贵资源。由于实施时变电价,我们对居民需求响应的排放影响进行了量化。已发布的需求响应率用于对总体住宅需求响应对传输系统级别负载的影响进行建模。 GE MAPS用于对电网建模,并识别由于需求响应而导致的发电调度变化。我们发现,需求响应通过在高峰时段达到用电高峰来大大减少了发电量。此外,我们发现在触发需求响应的日子里,纽约市的氮氧化物排放量平均减少了1.5公吨,颗粒物排放量减少了0.02公吨。与其他城市发电机相比,已确认负责减少排放量的峰值发电机组(EGU)可能对每单位排放量造成的健康影响更大。

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