Bioclimatic Façade Design Based on Daylight Parameter and Optimization of Alternatives Through Genetic Algorithms: An Office Building in Ankara

Gizem Özerol; Semra Arslan Selçuk

Makale detayları

Bioclimatic Façade Design Based on Daylight Parameter and Optimization of Alternatives Through Genetic Algorithms: An Office Building in Ankara

Yazarlar:

Gizem Özerol | Semra Arslan Selçuk

Yayıncı:

Ataturk University

Ana Başlıklar:

Mimari Tasarım

Dergi:

PLANARCH - Design and Planning Research Vol.7 Issue 2, pp.108-115

Belge Tipi:

Makale

Yayın Tarihi:

1/2023

Belge Dili:

İngilizce

Document ID (Org No.):

2001298369

pISSN:

2822-4507

Anahtar kelimeler:

Özet:

 Today it is clear that, for the mitigation of climate change, built environments should be designed according to energy efficiency criteria. For this reason, environmental conditions must be evalu- ated for site-specific designs based on sustainability. To design energy-efficient structures, it is essential to evaluate the parameters such as sun, wind, and material in the environment and to create alternatives for the orientation of the buildings. In this context, in this article, based on the climatic conditions of Ankara, the facade features of an office building were determined as a result of optimization simulations, and alternatives were created. The environmental condition data of the model, which was designed using the RhinoGrasshopper program, were obtained with the Ladybug plug-in. Thanks to the Honeybee plug-in, the position of the sun was determined accord- ing to the day and time zones determined in Ankara, and in this way, alternative facades were pro- duced to the facade design at the location of the building. By using the genetic algorithms, the best of these design alternatives was determined. This optimization method was achieved by detecting the highest peak thanks to frontal optimization based on solar radiation with RhinoGrasshoppers Galapagos plug-in. Results show that the partitions on the facade changed according to the posi- tion of the sun. These partitioning alternatives were processed with Galapagos as different alterna- tive inputs, and as a result, facade partitioning with the best possible alternatives emerged.

 Today it is clear that, for the mitigation of climate change, built environments should be designed according to energy efficiency criteria. For this reason, environmental conditions must be evalu- ated for site-specific designs based on sustainability. To design energy-efficient structures, it is essential to evaluate the parameters such as sun, wind, and material in the environment and to create alternatives for the orientation of the buildings. In this context, in this article, based on the climatic conditions of Ankara, the facade features of an office building were determined as a result of optimization simulations, and alternatives were created. The environmental condition data of the model, which was designed using the RhinoGrasshopper program, were obtained with the Ladybug plug-in. Thanks to the Honeybee plug-in, the position of the sun was determined accord- ing to the day and time zones determined in Ankara, and in this way, alternative facades were pro- duced to the facade design at the location of the building. By using the genetic algorithms, the best of these design alternatives was determined. This optimization method was achieved by detecting the highest peak thanks to frontal optimization based on solar radiation with RhinoGrasshoppers Galapagos plug-in. Results show that the partitions on the facade changed according to the posi- tion of the sun. These partitioning alternatives were processed with Galapagos as different alterna- tive inputs, and as a result, facade partitioning with the best possible alternatives emerged.

 Today it is clear that, for the mitigation of climate change, built environments should be designed according to energy efficiency criteria. For this reason, environmental conditions must be evalu- ated for site-specific designs based on sustainability. To design energy-efficient structures, it is essential to evaluate the parameters such as sun, wind, and material in the environment and to create alternatives for the orientation of the buildings. In this context, in this article, based on the climatic conditions of Ankara, the facade features of an office building were determined as a result of optimization simulations, and alternatives were created. The environmental condition data of the model, which was designed using the RhinoGrasshopper program, were obtained with the Ladybug plug-in. Thanks to the Honeybee plug-in, the position of the sun was determined accord- ing to the day and time zones determined in Ankara, and in this way, alternative facades were pro- duced to the facade design at the location of the building. By using the genetic algorithms, the best of these design alternatives was determined. This optimization method was achieved by detecting the highest peak thanks to frontal optimization based on solar radiation with RhinoGrasshoppers Galapagos plug-in. Results show that the partitions on the facade changed according to the posi- tion of the sun. These partitioning alternatives were processed with Galapagos as different alterna- tive inputs, and as a result, facade partitioning with the best possible alternatives emerged.

 Günümüzde sürdürülebilirlik ilkesine dayanarak yere özgü tasarımlar üretebilmek için çevresel koşulların değerlendirilmesi gerekmektedir. Enerji performanslarına dayalı yapıların tasarlanabilmesi için çevredeki güneş, rüzgar, malzeme gibi parametrelerin değerlendirilmesi binaların tasarlanacakları konumlardaki alternatiflerinin oluşturulmasında fayda sağlamaktadır. Bu bağlamda bu makalede, Ankaranın iklim koşullarına dayalı olarak bir ofis yapısının, cephe özelliklerinin optimizasyon simülasyonları ile alternatiflerinin tasarlanması ve bu tasarım alternatiflerinin genetik algoritmalar sayesinde değerlendirilmesi ile optimum cephe tasarımının saptanması gerçekleştirilmiştir. RhinoGrasshopper programı kullanılarak tasarlanan modelin çevresel koşul verileri Ladybug plugini sayesinde elde edilirken Honeybee plug-ini aracılığı ile de Ankarada belirlenen gün ve saat dilimlerine göre güneşin konumu saptanmış ve yapının bulunduğu konumdaki cephe tasarımına alternatif cepheler üretilmiştir. Genetik algoritmalar kullanılarak bu alternatif cepheler içinde optimum cephe modelinin seçilimi gerçekleştirilmiştir. En iyinin seçiminde, RhinoGrasshopperın Galapagos eklentisi ile güneş ışınımına dayalı ön optimizasyonu yapılmış ve en yüksek tepe noktası tespit edilmiştir. Sonuçlar, cephedeki bölümlemelerin güneşin konumuna göre değiştiğini göstermektedir. Cephedeki bölümleme alternatifleri Galapagos ile farklı alternatif girdiler olarak işlenmiş ve sonuç olarak mümkün olan en iyi alternatiflerle optimum cephe tasarımına ulaşılmıştır.

Makale detayları

Bioclimatic Façade Design Based on Daylight Parameter and Optimization of Alternatives Through Genetic Algorithms: An Office Building in Ankara

Yazarlar:

Gizem Özerol | Semra Arslan Selçuk

Yayıncı:

Ataturk University

Ana Başlıklar:

Mimari Tasarım

Dergi:

PLANARCH - Design and Planning Research Vol.7 Issue 2, pp.108-115

Belge Tipi:

Makale

Yayın Tarihi:

1/2023

Belge Dili:

İngilizce

Document ID (Org No.):

2001298369

pISSN:

2822-4507

Bioclimatic design

daylight analysis

facade optimization

genetic algorithm

ladybug– honeybee analysisBiyoklimatik tasarım

gün işığı analizi

ladybug-honeybee analizleri

cephe optimizasyonu

genetik algoritma

Sayı

Makale detayları

Yazarlar: Gizem Özerol | Semra Arslan Selçuk

Yayıncı: Ataturk University

Ana Başlıklar: Mimari Tasarım

Dergi: PLANARCH - Design and Planning Research Vol.7 Issue 2, pp.108-115

Belge Tipi: Makale

Yayın Tarihi: 1/2023

Belge Dili: İngilizce

Document ID (Org No.): 2001298369

pISSN: 2822-4507

Sayı

Yazarlar:

Gizem Özerol | Semra Arslan Selçuk

Yayıncı:

Ataturk University

Ana Başlıklar:

Mimari Tasarım

Dergi:

PLANARCH - Design and Planning Research Vol.7 Issue 2, pp.108-115

Belge Tipi:

Makale

Yayın Tarihi:

1/2023

Belge Dili:

İngilizce

Document ID (Org No.):

2001298369

pISSN:

2822-4507