• DocumentCode
    3572177
  • Title

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

  • Author

    Du Yu-Long ; Li Xian-Shan ; Xia Zhan-Peng ; Qu Fang-fang

  • Author_Institution
    Coll. of Electr. Eng. & Renewable Energy, China Three Gorges Univ., Yichang, China
  • fYear
    2014
  • Firstpage
    130
  • Lastpage
    135
  • 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.
  • Keywords
    building integrated photovoltaics; combinatorial mathematics; genetic algorithms; linear programming; solar absorber-convertors; solar power; solar radiation; combinatorial optimization model; energy power generation; linear programming; multiobjective optimization model; power generating capacity; solar energy; solar house design; solar radiation; surface generation; Automation; Companies; Intelligent control; Linear programming; Optimization; Solar energy; Solar radiation; exhaustive search; genetic algorithm; multi-objective combinatorial optimization; the recovery period;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Control and Automation (WCICA), 2014 11th World Congress on
  • Type

    conf

  • DOI
    10.1109/WCICA.2014.7052700
  • Filename
    7052700