title: Validation for a recirculation model.
abstract: Recent Clean Air Act regulations designed to reduce volatile organic compound (VOC) emissions have placed new restrictions on painting operations. Treating large volumes of air which contain dilute quantities of VOCs can be expensive. Recirculating some fraction of the air allows an operator to comply with environmental regulations at reduced cost. However, there is a potential impact on employee safety because indoor pollutants will inevitably increase when air is recirculated. A computer model was developed, written in Microsoft Excel 97, to predict compliance costs and indoor air concentration changes with respect to changes in the level of recirculation for a given facility. The model predicts indoor air concentrations based on product usage and mass balance equations. This article validates the recirculation model using data collected from a C-130 aircraft painting facility at Hill Air Force Base, Utah. Air sampling data and air control cost quotes from vendors were collected for the Hill AFB painting facility and compared to the model's predictions. The model's predictions for strontium chromate and isocyanate air concentrations were generally between the maximum and minimum air sampling points with a tendency to predict near the maximum sampling points. The model's capital cost predictions for a thermal VOC control device ranged from a 14 percent underestimate to a 50 percent overestimate of the average cost quotes. A sensitivity analysis of the variables is also included. The model is demonstrated to be a good evaluation tool in understanding the impact of recirculation.
authors.affiliation: Air Force Institute of Technology, Wright-Patterson Air Force Base, Ohio, USA.
authors.forename: P T
authors.initials: PT
authors.lastname: LaPuma
mesh_terms: D016902:Air Pollution, Indoor / Q000517:prevention & control*; D002617:Chemical Industry; D003198:Computer Simulation; D004784:Environmental Monitoring / Q000379:methods; D015386:Hazardous Substances / Q000032:analysis; D006801:Humans; D008962:Models, Theoretical; D016273:Occupational Exposure / Q000517:prevention & control*; D012680:Sensitivity and Specificity; D014481:United States; D014691:Ventilation / Q000191:economics* / Q000331:legislation & jurisprudence / Q000379:methods / Q000592:standards*
chemical_list: D015386:Hazardous Substances