Liu Zhijian, Deng Yuzhu, Ma Shengyuan, He Bao-Jie, Cao Guoqing
Department of Power Engineering, North China Electric Power University, Baoding, Hebei, 071003 China.
Faculty of Built Environment, University of New South Wales, NSW, Sydney, 2052 Australia.
Build Simul. 2021;14(3):793-811. doi: 10.1007/s12273-020-0693-3. Epub 2020 Sep 19.
This study analyzes the growth and reproduction of dust accumulated fungi (DAF) in an air-conditioning system based on field measurement and molecular biology, laboratory experiment and prediction modelling. The field measurement was conducted to collect dust in filter screen, surface cooler and air supply duct of two air handling units (AHUs). The results indicate that dust volume and fungal number in two AHUs generally met the hygienic specification of public buildings, but the cleansing did not fulfil requirements. High-throughput sequencing was conducted, revealing that the dominant fungal species were . Laboratory experiment was conducted to analyze the impact of several factors (e.g. growth time, temperature, relative humidity, duct material) and their combination on the DAF growth. The results indicate that fungal growth increased with time, peaking at 4 days or 5 days. Higher relative humidity or temperature was conducive to fungal growth. The orthogonal experiment revealed that the condition of "antibacterial composite, 22 ± 1 °C and 45%-55% RH" had the strongest inhibiting impact on fungal growth. Logistic model, Gompertz model and square-root model were further developed to predict the fungal growth under different conditions. The results show that the Logistic model had high feasibility and accuracy, the Gompertz model was feasible with lower accuracy and the square-root model was feasible with high accuracy. Overall, this study facilitates the understanding of the DAF growth in air-conditioning ducts, which is important for real-time prediction and timely control of the fungal contamination.
本研究基于现场测量与分子生物学、实验室实验及预测建模,分析了空调系统中积尘真菌(DAF)的生长与繁殖情况。进行现场测量以收集两个空气处理机组(AHU)的滤网、表面冷却器及送风管道中的灰尘。结果表明,两个AHU中的灰尘量和真菌数量总体上符合公共建筑的卫生规范,但清洁工作未达要求。进行了高通量测序,结果显示优势真菌种类为 。开展实验室实验以分析几个因素(如生长时间、温度、相对湿度、管道材料)及其组合对DAF生长的影响。结果表明,真菌生长随时间增加,在第4天或第5天达到峰值。较高的相对湿度或温度有利于真菌生长。正交实验表明,“抗菌复合材料、22 ± 1 °C和45%-55%相对湿度”的条件对真菌生长的抑制作用最强。进一步建立了逻辑模型、冈珀茨模型和平方根模型来预测不同条件下的真菌生长。结果表明,逻辑模型具有较高的可行性和准确性,冈珀茨模型可行但准确性较低,平方根模型可行且准确性较高。总体而言,本研究有助于了解空调管道中DAF的生长情况,这对于真菌污染的实时预测和及时控制具有重要意义。