Odor Emission Rate Estimation of Indoor Industrial Sources Using a Modified Inverse Modeling Method
Autor: | Kenneth E. Noll, Tingting Wang, Demetrios J. Moschandreas, Chakkrid Sattayatewa, Xiang Li, Dhesikan Venkatesan, Krishna R. Pagilla |
---|---|
Rok vydání: | 2011 |
Předmět: |
Centrifuge
Models Statistical Field (physics) Inverse Centrifugation Air Pollutants Occupational Function (mathematics) Management Monitoring Policy and Law Homogeneous distribution Distribution (mathematics) Odor Homogeneous Air Pollution Indoor Sensory Thresholds Odorants Humans Industry Environmental science Biological system Waste Management and Disposal Algorithms Simulation |
Zdroj: | Journal of the Air & Waste Management Association. 61:872-881 |
ISSN: | 2162-2906 1096-2247 |
DOI: | 10.3155/1047-3289.61.8.872 |
Popis: | Odor emission rates are commonly measured in the laboratory or occasionally estimated with inverse modeling techniques. A modified inverse modeling approach is used to estimate source emission rates inside of a postdigestion centrifuge building of a water reclamation plant. Conventionally, inverse modeling methods divide an indoor environment in zones on the basis of structural design and estimate source emission rates using models that assume homogeneous distribution of agent concentrations within a zone and experimentally determined link functions to simulate airflows among zones. The modified approach segregates zones as a function of agent distribution rather than building design and identifies near and far fields. Near-field agent concentrations do not satisfy the assumption of homogeneous odor concentrations; far-field concentrations satisfy this assumption and are the only ones used to estimate emission rates. The predictive ability of the modified inverse modeling approach was validated with measured emission rate values; the difference between corresponding estimated and measured odor emission rates is not statistically significant. Similarly, the difference between measured and estimated hydrogen sulfide emission rates is also not statistically significant. The modified inverse modeling approach is easy to perform because it uses odor and odorant field measurements instead of complex chamber emission rate measurements. |
Databáze: | OpenAIRE |
Externí odkaz: |