Literature DB >> 12950590

Responding to sudden pollutant releases in office buildings: 1. Framework and analysis tools.

M D Sohn1, R G Sextro, A J Gadgil, J M Daisey.   

Abstract

We describe a framework for developing response recommendations to unexpected toxic pollutant releases in commercial buildings. It may be applied in conditions where limited building- and event-specific information is available. The framework is based on a screening-level methodology to develop insights, or rules-of-thumb, into the behavior of airflow and pollutant transport. A three-stage framework is presented: (1). develop a building taxonomy to identify generic, or prototypical, building configurations; (2). characterize uncertainty and conduct simulation modeling to predict typical airflow and pollutant transport behavior; and (3). rank uncertainty contributions to determine how information obtained at a site might reduce uncertainties in the model predictions. The approach is applied to study a hypothetical pollutant release on the first floor of a five-story office building. Key features that affect pollutant transport are identified and described by value ranges in the building stock. Simulation modeling provides predictions and uncertainty estimates of time-dependent pollutant concentrations, following a release, for a range of indoor and outdoor conditions. In this exercise, we predict concentrations on the fifth floor to be an order of magnitude less than on the first, coefficients of variation greater than 2, and information about the HVAC operation and window position most reducing uncertainty in predicted peak concentrations.

Mesh:

Year:  2003        PMID: 12950590     DOI: 10.1034/j.1600-0668.2003.00183.x

Source DB:  PubMed          Journal:  Indoor Air        ISSN: 0905-6947            Impact factor:   5.770


  2 in total

1.  Locating Hazardous Chemical Leakage Source Based on Cooperative Moving and Fixing Sensors.

Authors:  Yaguang Kong; Meng Guan; Song Zheng; Peng Jiang; Ling Wang; Xuefei Yao; Jian Lu; Chenfeng Xie; Fang Wang
Journal:  Sensors (Basel)       Date:  2019-03-04       Impact factor: 3.576

2.  An improved particle swarm optimization method for locating time-varying indoor particle sources.

Authors:  Qilin Feng; Hao Cai; Fei Li; Xiaoran Liu; Shichao Liu; Jiheng Xu
Journal:  Build Environ       Date:  2018-10-05       Impact factor: 6.456

  2 in total

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