首页> 美国政府科技报告 >Prevention of Significant Deterioration (PSD) Monitoring Plan: 200-MW Atmospheric Fluidized Bed Combustion (AFBC) Demonstration Plant
【24h】

Prevention of Significant Deterioration (PSD) Monitoring Plan: 200-MW Atmospheric Fluidized Bed Combustion (AFBC) Demonstration Plant

机译:预防显着恶化(psD)监测计划:200兆瓦大气流化床燃烧(aFBC)示范工厂

获取原文

摘要

For PSD purposes, the demonstration plant will be a major source (emissions exceed 100 TPY) for sulfur dioxide (SO sub 2 ), nitrogen oxides (NO/sub x/), and particulates. In addition, it is presumed at this time, that the AFBC will also be a major source for carbon monoxide (CO) and nonmethane hydrocarbons (HC). The PSD permit application will provide sufficient information for a review, relative to the applicable NAAQS for all of the above pollutants, and for the review of increment availability for SO sub 2 and TSP. The PSD monitoring plan describes TVA's plans for monitoring in support of these reviews. The monitoring plan is based on the existing rules and regulations for the prevention of significant deterioration and on the existing applicable Ambient Monitoring Guidelines for PSD. TVA's monitoring plan for the AFBC includes new monitoring for NO/sub x/, CO, and O sub 3 ; modeling results for SO sub 2 and existing monitoring data for TSP. The modeling alternative was chosen for SO sub 2 because a major existing source in the area (the Shawnee Steam Plant) has been, and is, undergoing significant source configuration changes, including various changes between the use of short and tall stacks and shifts between high and low sulfur coal. TVA intends to use monitoring data from recently installed PSD monitoring stations to support the air quality review for NO/sub x/, CO, and HC. It is expected that the changing source configuration of the Shawnee Steam Plant during the monitoring period will not significantly affect the representativeness of these measurements. Moreover, modeling, in TVA's judgement, would not be an acceptable alternative for these pollutants because of significant uncertainties in the emissions inventories and because of uncertainties associated with the complexity of the modeling. (ERA citation 07:042232)

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号