Locate Gas Power Plants Using Fuzzy Model and Boolean Logic in GIS (Case Study: Gilan Province)

Power plants have pollution of water, air, soil, and their voice and considerable damages to the surrounding environment enters. But also with the growth of population and industry,.... the demand for energy, especially electricity consumption has been growing in recent years But also with the growth of population and industry, the demand for energy, especially electricity consumption has been growing in recent years And the fact that the electrical energy supply required is often require build new stations and treatment plants social consequences, economic, political, environmental and many.

This paper identifies important factors in determining a suitable location for the construction of gas power plant in the province of Gilan, and the effectiveness of each of these factors, by using fuzzy and Boolean and software to GIS, integrating layers spatial data do and potential locations for the construction of gas power plants were identified.

The results showed With regard to the integration of different data layers and limitations, about 90 percent of Gilan province as a constraint areas were determined for power plant   And the other 10 percent, 5 percent favorable weight and 5 percent is weight the semi- favorable and unfavorable.

Finally, Compared with five operator fuzzy model, fuzzy Product function better than it looked.