0000000000328903
AUTHOR
Simin Rasouli
A methodology for fire data analysis based on pattern recognition towards the disaster management
The aim of this paper is to investigate a proposed strategy for fire disaster analysis that is implemented based on pattern recognition technique in order to achieve a methodology for disaster management. Since the fire hazard has severe effects onto human and properties, it is essential to predict and possibly prevent it. Almost every fire produces some issues, such as heat, smoke, gas, and flame, which are sensible and measurable via devices or detection systems. The fire behavior is relevant to these issues. In this research, temperature, heat radiation, and visibility (smoke) data of fire that have been obtained from Fire Dynamics Simulator (FDS) are used for analysis. The location of t…
Wind energy potential assessment in order to produce electrical energy for case study in Divandareh, Iran
This paper evaluates the electricity production at Divandareh, a place located at Kurdistan, Iran through wind energy assessment using wind data of the site recorded in duration of a year at three different heights of 10, 30 and 50 meters. For this purpose, a statistical analysis of the measured wind data is performed. According to the US standards, the site is found to be a class-3 wind power site with power density of 336.18 W/m2 at 50 m height. Moreover, dominant flow direction of wind is checked through wind rose plotting. It has been shown that the site is suitable for wind energy development by installing wind turbines with tall towers. Thereupon, four different commercial wind turbin…