The Application of Ant Colonies Algorithm in Optimal Positioning Wind Turbine Farms

Reduction of fossil fuel resources has made wind energy as one of the most prolific alternative energies in the world. Therefore, the design and operation of the wind turbine farms in many countries has become a priority. The place of installation of the wind turbines is one of the most important issues related to the design of these farms. Therefore, the characteristics of the relevant environmental and other restrictions that are usually linked to a couple of variables in the design of these sites are being considered. In this paper a new method based on Ant Colony algorithm for optimal positioning installation of wind turbine farms in the electrical distribution networks is provided. And the performance of the proposed method is tested and reviewed

The Application of Ant Colonies Algorithm in Optimal Positioning Wind Turbine Farms

Reduction of fossil fuel resources has made wind energy as one of the most prolific alternative energies in the world. Therefore, the design and operation of the wind turbine farms in many countries has become a priority. The place of installation of the wind turbines is one of the most important issues related to the design of these farms. Therefore, the characteristics of the relevant environmental and other restrictions that are usually linked to a couple of variables in the design of these sites are being considered. In this paper a new method based on Ant Colony algorithm for optimal positioning installation of wind turbine farms in the electrical distribution networks is provided. And the performance of the proposed method is tested and reviewed

The effect of night lighting in urban neighborhoods security and safety

Abstract: Wanton growth in worldwide crime statistics severely threatens the society in terms of economics, society, culture, and security. This causes serious problems along with urbanization development. Thus, the effect of lighting factors and scales of urban spaces on the security of neighborhoods is investigated in this study. The methodology in this research was analytical-descriptive and data were almost collected by observation and field data collection in urban neighborhoods. In order to rank the security levels, seven scales were investigated: main streets light, the amount of energy consumption for lighting ways, alleys and sidewalks light, light from city signs, parks light, light in front of houses and lighting indicator caused by IL luminance (lux). Then, the coefficient of the effect of each parameter on the neighborhood security was calculated using Entropy Weighting model, and the quality level of each neighborhood and the ideal level were determined using multi-criteria and Analytical Hierarchy Process. The investigation of scales revealed that Main passages lighting had the highest influence coefficients; and the amount of energy consumption for lighting ways had the lowest influence coefficient. The results showed that the districts which had the worst security levels, had the lack of between the district morphology and paths lights infrastructures or use of secondhand utilities and improper position of lighting utilities, among 15 districts witch were investigated in Kerman city