Thermal efficiency of the window shade

The purpose of this paper is to find the efficiency of window shades regarding building energy performance and explore the possibility of developing a model that enables users to find proper shades for their specific conditions. The paper investigates different options of shades and their related variables and finds the efficiency of the shades regarding energy load. Each variable was investigated for its effect on the heat loads. Results were used as input variables for neural network prediction model.  A prediction model was developed and trained based on the previous simulation results.

Uncertainty and sensitivity analysis of natural ventilation in high-rise apartment buildings

Quantification of natural ventilation rates is an important issue in HVAC system design. Natural ventilation in buildings depends on many parameters whose uncertainty varies significantly, and hence the results from a standard deterministic simulation approach could be unreliable.

Sensitivity studies on elements of meteorological data for building energy simulation in China

As well known, Hourly weather data should be available before running building energy consumption simulation.A large number of Chinese locations have only six-hourly or daily measured weather data, because observed data are not easily obtained or not digitalized. Measured hourly, sixhourly and daily weather data for four cities in China, namely Xi’an, Kunming, Hangzhou and Shantou were gathered and analyzed. Three climatic variables, namely dry-bulb temperature, relative humidity and atmospheric pressure, were investigated.