家电科技2026，Vol.1Issue(1)：116-122,7.DOI:10.19784/j.cnki.issn1672-0172.2026.01.018
时变源强反演算法在烹饪油烟排放评估中的应用
Application of time-varying source strength inversion algorithm for cooking fume emission assessment—a dynamic mass balance model based on PM2.5 concentration
杨磊 1王莹莹 2王涛 1王继红1
作者信息
- 1. 博西华电器(江苏)有限公司 江苏 南京 210000
- 2. 中家院(北京)检测认证有限公司 北京 100176
- 折叠
摘要
Abstract
To achieve quantitative assessment and control of cooking fume particle emissions in Chinese kitchens,the concentration-dependent natural deposition coefficient is quantified through systematic experiments within the framework of a mass balance model,and a time-varying source strength inversion method for cooking fume emission evaluation is established.Based on the dynamic mass balance equation for indoor PM2.5 established from the principle of mass conservation,three parallel processes are incorporated:natural deposition,ventilation dilution,and mechanical purification.To accurately characterize the sedimentation dynamics in high-concentration cooking environments,a two-phase emission-decay experiment is conducted to systematically determine the natural deposition coefficient.A sliding window segmental fitting strategy combined with the L-BFGS-B constrained optimization algorithm is employed to establish a quantitative relationship between the deposition coefficient and PM2.5 concentration.For source strength inversion,a finite-difference method is applied to derive the time series of emission rate from measured concentration profiles,and the results are averaged to obtain source strength characteristics under typical cooking conditions.Results demonstrate that the natural deposition coefficient exhibits a significant logarithmic-linear correlation with PM2.5 concentration(αnat=max{3.98×10-4ln(Ci)-1.50×10-3,0}),validating the applicability of the mass balance model in high-emission scenarios.The inverted source strength data possesses universality;when indoor volume or ventilation rate differs from the experimental chamber conditions,the PM2.5 concentration distribution in different environments can be readily derived directly from the mass balance equation without requiring repetitive testing.The research results provides quantitative theoretical foundation for kitchen fume pollution control and ventilation system design.关键词
PM2.5/油烟产生率反演/自然沉降系数/吸油烟机/质量平衡模型Key words
PM2.5/Cooking fume emission strength inversion/Deposition coefficient/Range hood/Mass balance model分类
信息技术与安全科学引用本文复制引用
杨磊,王莹莹,王涛,王继红..时变源强反演算法在烹饪油烟排放评估中的应用[J].家电科技,2026,1(1):116-122,7.
