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Microscale air quality impacts of distributed power generation facilities

机译:分布式发电设施对空气质量的微小影响

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摘要

The electric system is experiencing rapid growth in the adoption of a mix of distributed renewable and fossil fuel sources, along with increasing amounts of off-grid generation. New operational regimes may have unforeseen consequences for air quality. A three-dimensional microscale chemical transport model (CTM) driven by an urban wind model was used to assess gaseous air pollutant and particulate matter (PM) impacts within -10 km of fossil-fueled distributed power generation (DG) facilities during the early afternoon of a typical summer day in Houston, TX. Three types of DG scenarios were considered in the presence of motor vehicle emissions and a realistic urban canopy: (1) a 25-MW natural gas turbine operating at steady state in either simple cycle or combined heating and power (CHP) mode; (2) a 25-MW simple cycle gas turbine undergoing a cold startup with either moderate or enhanced formaldehyde emissions; and (3) a data center generating 10 MW of emergency power with either diesel or natural gas-fired backup generators (BUGs) without pollution controls. Simulations of criteria pollutants (NO_2, CO, O_3, PM) and the toxic pollutant, formaldehyde (HCHO), were conducted assuming a 2-hr operational time period. In all cases, NO_x titration dominated ozone production near the source. The turbine scenarios did not result in ambient concentration enhancements significantly exceeding 1 ppbv for gaseous pollutants or over 1 μg/m~3 for PM after 2 hr of emission, assuming realistic plume rise. In the case of the datacenter with diesel BUGs, ambient NO_2 concentrations were enhanced by 10-50 ppbv within 2 km downwind of the source, while maximum PM impacts in the immediate vicinity of the datacenter were less than 5 μg/m~3. Implications: Plausible scenarios of distributed fossil generation consistent with the electricity grid's transformation to a more flexible and modernized system suggest that a substantial amount of deployment would be required to significantly affect air quality on a localized scale. In particular, natural gas turbines typically used in distributed generation may have minor effects. Large banks of diesel backup generators such as those used by data centers, on the other hand, may require pollution controls or conversion to natural gas-fired reciprocal internal combustion engines to decrease nitrogen dioxide pollution.
机译:随着分布式可再生能源和化石燃料源的混合使用,电力系统正在经历快速发展,同时离网发电量也在增加。新的运行制度可能会对空气质量产生无法预料的后果。使用由城市风模型驱动的三维微观化学迁移模型(CTM),评估了下午下午化石燃料分布式发电(DG)设施在-10公里内的气态空气污染物和颗粒物(PM)的影响得克萨斯州休斯敦市典型夏季的一天。考虑到存在机动车排放物和真实的城市机盖,考虑了三种类型的DG情景:(1)一台25兆瓦的燃气轮机以简单循环或热电联产(CHP)模式在稳态下运行; (2)一台25兆瓦的简单循环燃气轮机经过冷启动,甲醛释放量适中或增加; (3)数据中心使用柴油或天然气备用发电机(BUG)产生10兆瓦的应急电力,而没有污染控制措施。假设运行时间为2小时,对标准污染物(NO_2,CO,O_3,PM)和有毒污染物甲醛(HCHO)进行了模拟。在所有情况下,NO_x滴定都占了源头附近臭氧的产生量。假设实际烟羽上升,则在涡轮机情景下,排放气体2小时后,气态污染物的环境浓度增加不会明显超过1 ppbv或PM不会超过1μg/ m〜3。对于使用柴油机BUG的数据中心,在源下风2公里内,周围的NO_2浓度提高了10-50 ppbv,而在数据中心附近最大的PM影响小于5μg/ m〜3。启示:与电网向更灵活,更现代化的系统的转变相一致的分布式化石发电的合理场景表明,需要大量部署以显着影响局部规模的空气质量。特别地,通常在分布式发电中使用的天然气涡轮可能具有较小的影响。另一方面,大型的柴油备用发电机组(例如数据中心使用的柴油备用发电机)可能需要进行污染控制或转换为天然气可逆式内燃发动机,以减少二氧化氮的污染。

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