Based on multi-bjective optimization model of solar house design and implementation

Abstract

The design of solar house has important significance to the use of solar energy and new energy power generation. We need to consider many factors when design. In this paper, we apply the multi-objective optimization to the design of solar house. First, according to the laws of the solar radiation to the flat, we find out the best Angle of the plane to absorb solar radiation. Then, the condition functions of the linear programming is listed based on the architecture needs. Finally, we establish the multi-objective combinatorial optimization model which has the biggest power generating capacity, total profit maximum, the utilization rate of the surface generation as large as possible and the minimum investment of electricity as the objective functions. The validation analysis was carried out through a solar house of Datong in Shanxi Province and its construction requirements. The utilization rate of the roof is 99.20% and the recovery duration is 12.73 years, so it is verified that the multi-objective optimization is one of the reasonable and effective methods of solar house design.