A novel method for indoor air quality monitoring is presented in this paper. It is based on the network of smart sensors permanently connected to the cloud. The prototype system, consisting of 10 smart sensors is evaluated in laboratory and real use. Each smart sensor was able to measure air temperature, relative humidity, particulate matter concentration, and carbon dioxide concentration. The cloud-based architecture of the system is explained, followed by the calibration method and real scenario results. The system proved to be suitable for real-time monitoring of indoor air quality parameters for large buildings.

Vertical temperature profiles represent a very important factor for various analytical and numerical studies, such as weather forecasts, air pollution models and CFD simulations. These temperature profiles are especially important during the winter periods, when temperature inversions occur. The cities in the natural valleys, such as the city of Sarajevo, B&H, are strongly affected by this phenomenon. In this paper, a method for quantitative characterization of vertical temperature profiles, which is based on the in-house developed data acquisition system and the unmanned aerial vehicle, is presented. Comprehensive calibration and verification procedure was performed and explained in details. Field measurements were focused on the winter period and extreme temperature inversion scenarios. The correlation with the air pollution in the city, for the same period, was discussed as well.

Abstract: Vertical temperature profiles represent a very important factor for various analytical and numerical studies, such as weather forecasts, air pollution models and computational fluid dynamics simulations. These temperature profiles are especially important during the winter periods, when temperature inversions occur. The cities in the natural valleys, such as the city of Sarajevo, are strongly affected by this phenomenon. In this paper, a method for quantitative characterization of vertical temperature profiles, which is based on the in-house developed data acquisition system and the unmanned aerial vehicle, is presented. Comprehensive calibration and verification procedure was performed and explained in details. Field measurements were focused on the winter period and extreme temperature inversion scenarios. The correlation with the air pollution in the city, for the same period, was discussed as well.

In this paper we present a multiphase model which can be used to simulate phase change problems. The multiphase model resolves the interface between immiscible phases and belongs to the family of interface capturing methods. The resulting mathematical model was presented and was validated using the Stefan problem for which the exact solution exists. Qualitative tests on several simple oneand two-dimensional tests were also performed.