Multi-objective optimization of window shading devices balancing daylighting and energy consumption in a hot-arid climate (Case study: Office buildings in Isfahan)

Jafar Damghani Jezzi¹ Farhang shaafi²

1) Multi-objective optimization of window shading devices balancing daylighting and energy consumption in a hot-arid climate (Case study: Office buildings in Isfahan)
2) Multi-objective optimization of window shading devices balancing daylighting and energy consumption in a hot-arid climate (Case study: Office buildings in Isfahan)

IOI Code : ABKD-ABHFBK
Publication : Fourth International Conference on applied researches in civil engineering, architecture and urban planning (icarcau.com)
Abstract :
    A major portion of energy consumption in office buildings is dedicated to cooling and lighting. Inadequate facade design and lack of solar radiation control, in addition to increasing the cooling load, lead to glare and a decrease in the quality of natural light. This research aimed to find the optimal configuration of awnings to create a balance between reducing energy consumption and improving the quality of daylight in an office building in the hot and dry climate of Isfahan. For this purpose, the dynamic simulation method was used in DesignBuilder software (EnergyPlus engine and genetic optimization algorithm). The objective functions included minimizing the annual energy consumption intensity (EUI) and maximizing the dynamic daylight indices (sDA improvement and ASE control). The results showed that using the optimal shade model can lead to a 48% reduction in the energy consumption of the entire building and, at the same time, a 20% improvement in the quality of natural lighting of the spaces compared to the basic model (without shade). Keywords: Multi-objective optimization, window shade, daylight, energy consumption, hot and dry climate, genetic algorithm

Keywords : multi objective optimization window shade daylight energy consumption hot and dry climate genetic algorithm