The influence of shading control strategies on the visual comfort and energy demand of office buildings

Yun, Gyeong; Yoon, Kap Chun; Kim, Kang Soo

doi:10.1016/j.enbuild.2014.07.040

Cited by 144 publications

(60 citation statements)

References 17 publications

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“…They showed that experimental shading devices located outside provide a very good percentage of cooling energy saving when compared to internal devices [6]. A lighting and shading control strategy has been suggested by Yun et al by analyzing several different parameterizations of an office building with respect to visual comfort and building energy demand [7]. Freewan examined the effect of several types of shading devices on controlling air temperature and improving illuminance level in offices located in hot climate regions showing that all shading devices improved the thermal and visual environment in the offices [8].…”

Section: Shading Devicesmentioning

confidence: 99%

A Pareto-based multi-objective optimization algorithm to design energy-efficient shading devices

2016

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h i g h l i g h t sWe present a multi-objective optimization algorithm for shading design. We combine Harmony search and Pareto-based procedures. Thermal and daylighting performances of external shading were considered. We applied the optimization process to a residential social housing in Madrid. t r a c tIn this paper we address the problem of designing new energy-efficient static daylight devices that will surround the external windows of a residential building in Madrid. Shading devices can in fact largely influence solar gains in a building and improve thermal and lighting comforts by selectively intercepting the solar radiation and by reducing the undesirable glare. A proper shading device can therefore significantly increase the thermal performance of a building by reducing its energy demand in different climate conditions. In order to identify the set of optimal shading devices that allow a low energy consumption of the dwelling while maintaining high levels of thermal and lighting comfort for the inhabitants we derive a multi-objective optimization methodology based on Harmony Search and Pareto front approaches. The results show that the multi-objective approach here proposed is an effective procedure in designing energy efficient shading devices when a large set of conflicting objectives characterizes the performance of the proposed solutions.

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Section: Shading Devicesmentioning

confidence: 99%

A Pareto-based multi-objective optimization algorithm to design energy-efficient shading devices

2016

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“…According to recent studies [8,[25][26][27][28] optimizing daylight can save electric lighting by 20-40% from total energy, while electric lighting is one of the most energy consumption which accounts 20-30% of total electric energy consumption [29]. Additionally, shade provided from slats can reduce cooling and heating energy demands by 30% [8,30].…”

Section: Hypothesismentioning

confidence: 99%

Controlling venetian blinds based on parametric design; via implementing Grasshopper’s plugins: A case study of an office building in Cairo

Eltaweel

2017

Energy and Buildings

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“…The basic sunshine duration calculation algorithm of Sanalyst is the same as that of Radiance or Diva for Rhino [13][14][15][16][17]. To run Sanalyst, the analysis factors, including the building and ground were used as geometrical forms.…”

Section: Daylight Availability Simulationmentioning

confidence: 99%

Changes in Sunlight and Outdoor Thermal Environment Conditions Based on the Layout Plan of Flat Type Apartment Houses

Jung

Yoon

2015

Energies

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Economic growths lead to population increases in large cities. This has brought about the growing necessity for apartment housing which has resulted in higher density populations living in high-rise apartment complexes. Therefore, the urban microclimate is aggravated due to the increasing ratio of artificial coverage and substandard daylight availability. To achieve a comfortable living environment and improve urban microclimates, a process considering the daylight availability and the outdoor thermal environment is required when designing apartment housing complexes. This study selected a total of 27 valid cases using an orthogonal array, L27( 3 13 ) design of experiments (DOE). As a result of significance probability obtained in DOE analysis, the design factors that have an effect on the outdoor thermal environment and daylight availability were found to be building coverage ratio, distance between buildings, and azimuth. The rankings of the effect of design factors were shown to be in the order of azimuth > building coverage ratio > distance between buildings > floor area ratio > width/depth ratio. The surface temperature of the whole building decreased by 0.3 °C and Mean Radiant Temperature (MRT) decreased by 1.1 °C as a result of applying the greenery coverage ratio to apartment complexes. Heat Island Potential (HIP) also showed a decrease of 5.4 °C (at noon).

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The influence of shading control strategies on the visual comfort and energy demand of office buildings

Cited by 144 publications

References 17 publications

A Pareto-based multi-objective optimization algorithm to design energy-efficient shading devices

A Pareto-based multi-objective optimization algorithm to design energy-efficient shading devices

Controlling venetian blinds based on parametric design; via implementing Grasshopper’s plugins: A case study of an office building in Cairo

Changes in Sunlight and Outdoor Thermal Environment Conditions Based on the Layout Plan of Flat Type Apartment Houses

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