Air quality impacts of distributed power generation in the South Coast Air Basin of California 2: Model uncertainty and sensitivity analysis: Fid-Bau Portal

Air quality impacts of distributed power generation in the South Coast Air Basin of California 2: Model uncertainty and sensitivity analysis

Rodriguez, M.A. / Brouwer, J. / Samuelsen, G.S. / Dabdub, D.

Abstract

AbstractUncertainty and sensitivity of ozone and ${PM}_{2.5}$ aerosol to variations in selected input parameters are investigated with a Monte Carlo methodology using a three-dimensional air quality model. The selection of input parameters is based on their potential to affect concentration levels of ozone and ${PM}_{2.5}$ predicted by the model and to reflect changes in emissions due to the implementation of distributed generation (DG) in the South Coast Air Basin (SoCAB) of California. Numerical simulations are performed with the CIT air quality model. Response of the CIT predictions to the variation of selected input parameters is investigated to separate the potential air quality impacts of DG from model uncertainty. This study provides a measure of the model errors for selected species concentrations. A spatial sensitivity analysis is used to investigate the effect of placing DG in specific regions of the SoCAB. In general, results show that confidence in the model results is greatest in locations where ozone and ${PM}_{2.5}$ concentrations are the highest. Changes no greater than 80% in the nominal values of selected input variables, cause changes of 18% in ozone mixing ratios and 25% for ${PM}_{2.5}$ aerosol concentrations. Sensitivity analysis reveals that nitrogen oxides ( ${NO}_{x}$ ) emissions and side boundary conditions of volatile organic compounds (VOC) are the major contributors to uncertainty and sensitivity of ozone predictions. An increase in ${NO}_{x}$ emissions leads to reductions in ozone mixing ratios at peak times and sites where the maximum values are located. ${PM}_{2.5}$ aerosol is most sensitive to changes in ${NH}_{3}$ and ${NO}_{x}$ emissions. Increasing these emissions leads to higher aerosol concentrations. Sensitivity analyses show that the impacts of DG implementation are highly dependent on both space and time. In particular, ozone concentrations are reduced during the nighttime nearby locations where DGs are installed. However, during the daytime ozone concentrations increase downwind from the sources. A major finding of this study is that the emissions of DG installed in coastal areas produce a significant impact on the production of ozone and ${PM}_{2.5}$ aerosol in the eastern regions of the SoCAB.