Volvo Car Corporation, Gothenburg, Sweden.
Division of Building Services Engineering, Department of Architecture and Civil Engineering, Chalmers University of Technology, Gothenburg, Sweden.
Environ Sci Pollut Res Int. 2022 Jun;29(30):45364-45379. doi: 10.1007/s11356-022-19078-1. Epub 2022 Feb 10.
The main aim of this study is to develop a mathematical size-dependent vehicle cabin model for particulate matter concentration including PM (particles of aerodynamic diameter less than 2.5 μm) and UFPs (ultrafine particles of aerodynamic diameter less than 100 nm), as well as CO concentration. The ventilation airflow rate and cabin volume parameters are defined from a previously developed vehicle model for climate system design. The model simulates different filter statuses, application of pre-ionization, different airflow rates and recirculation degrees. Both particle mass and count concentration within 10-2530 nm are simulated. Parameters in the model are defined from either available component test data (for example filter efficiencies) or assumptions from corresponding studies (for example particle infiltration and deposition rates). To validate the model, road measurements of particle and CO concentrations outside two vehicles were used as model inputs. The simulated inside PM, UFP and CO concentration were compared with the inside measurements. Generally, the simulation agrees well with measured data (Person's r 0.89-0.92), and the simulation of aged filter with ionization is showing higher deviation than others. The simulation using medium airflows agrees better than the simulation using other airflows, both lower and higher. The reason for this may be that the filter efficiency data used in the model were obtained at airflows close to the medium airflow. When all size bins are compared, the sizes of 100-300 nm were slightly overestimated. The results indicated that among others, expanded filter efficiency data as a function of filter ageing and airflow rate would possibly enhance the simulation accuracy. An initial application sample study on recirculation degrees presents the model's possible application in developing advanced climate control strategies.
本研究的主要目的是开发一个数学上依赖于尺寸的车辆舱室模型,用于模拟包括 PM(空气动力学直径小于 2.5μm 的颗粒)和 UFPs(空气动力学直径小于 100nm 的超细颗粒)以及 CO 浓度在内的颗粒物浓度。通风气流率和舱室体积参数是从之前开发的用于气候系统设计的车辆模型中定义的。该模型模拟了不同的过滤器状态、预电离的应用、不同的气流率和再循环程度。模拟了 10-2530nm 范围内的颗粒质量和计数浓度。模型中的参数是根据可用的组件测试数据(例如过滤器效率)或相应研究的假设(例如颗粒渗透和沉积速率)来定义的。为了验证模型,使用两辆汽车外部的颗粒和 CO 浓度的道路测量值作为模型输入。模拟的内部 PM、UFP 和 CO 浓度与内部测量值进行了比较。总的来说,模拟结果与测量数据吻合较好(Person's r 0.89-0.92),而带有电离的老化过滤器的模拟结果比其他模拟结果偏差较大。使用中等气流的模拟结果比使用其他气流(包括较低和较高气流)的模拟结果更好。其原因可能是模型中使用的过滤器效率数据是在接近中等气流的气流下获得的。当比较所有尺寸箱时,100-300nm 的尺寸略有高估。结果表明,除其他外,扩展的过滤器效率数据作为过滤器老化和气流率的函数,可能会提高模拟精度。再循环程度的初步应用实例研究表明,该模型可能应用于开发先进的气候控制策略。