Comprehensive Optimization of Air Quality in Kitchen Based on Auxiliary Evaluation Indicators
Source abstract
Abstract
Traditional single-scale indoor air quality (IAQ) evaluation methods often fail to meet the demands of modern, personalized kitchens. To address this limitation, we propose a comprehensive IAQ index, integrating experimental data and simulation results. The index incorporates four key IAQ auxiliary evaluation indicators: air distribution performance index (ADPI), predicted mean vote (PMV), cooking oil fume particulates (COFP), and CO2 concentration. We developed a kitchen model and used the comprehensive IAQ index to benchmark simulation results against experimental tests. Optimal kitchen air quality occurred at a supply air angle of 90° and airflow velocity of 2.268 m3/min, reducing air pollution impact by 29.50%. This configuration enhanced thermal comfort while reducing secondary COFP accumulation in the breathing zone by 22%. The 29.50% Q-index reduction corresponded to a 24% decrease in peak CO2 exposure (638 ppm, clean-air level) and 22% lower COFP in breathing zones, mitigating health risks. Optimized airflow (2.268 m3/min) avoided excessive ventilation, reducing energy waste and achieving balanced IAQ-energy efficiency.
Source: crossref · Quality: baseline
Research context
OpenAlex topics: Regional Development and Environment
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
Affiliations
Faculty of Maritime and Transportation, Ningbo University, Ningbo 315000, China
Funding
Zhejiang Province Public Welfare Technology Application Research Project · Healthy and Intelligent Kitchen Engineering Research Center of Zhejiang Province · Digital simulation design for high-end equipment manufacturing of Shijiazhuang · National “111” Centre on Safety and Intelligent Operation of Sea Bridges
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