Yılmaz, Burcu Çiğdem

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Burcu Cigdem, Yilmaz
B. Ç. Yılmaz
Burcu Çiğdem YILMAZ
Y., Burcu Çiğdem
Yilmaz,B.Ç.
Yılmaz,B.Ç.
YILMAZ, BURCU ÇIĞDEM
YILMAZ, Burcu Çiğdem
Yılmaz, B. Ç.
B. Yılmaz
Burcu Çiğdem Yılmaz
Yılmaz, B.
Yılmaz B.
Yilmaz B.
Yilmaz,Burcu Cigdem
Y.,Burcu Cigdem
Yilmaz,B.C.
Burcu Ciğdem Yılmaz
Yilmaz, Burcu Cigdem
Yılmaz, BURCU ÇIĞDEM
Yılmaz, Burcu Ciğdem
Yılmaz, Burcu Çiğdem
BURCU ÇIĞDEM YILMAZ
Y., Burcu Cigdem
Yilmaz, Burcu cigdem
Yılmaz, B.Ç.
Job Title
Dr. Öğr. Üyesi
Email Address
burcucigdem.yilmaz@khas.edu.tr
Main Affiliation
Interior Architecture and Environmental Design
Status
Website
Scopus Author ID
Turkish CoHE Profile ID
Google Scholar ID
WoS Researcher ID
Scholarly Output

5

Articles

3

Citation Count

6

Supervised Theses

0

Scholarly Output Search Results

Now showing 1 - 2 of 2
  • Article
    Citation - Scopus: 3
    Decision Support Model for Pv Integrated Shading System: Office Building Case
    (Elsevier Ltd, 2023) Yılmaz, B.Ç.; Yılmaz, Burcu Çiğdem; Yılmaz, Y.
    Office buildings have a high amount of internal heat, solar gain, daytime energy consumption and occupancy schedules. Therefore, the increment in the cooling energy demand highlights the shading systems to provide efficient energy retrofit for office buildings. Shading surfaces, to prevent the high amount of solar radiation, are suitable for the collection of solar energy and the integration of photovoltaic systems onto the building envelope. However, the impact of the shading surface on the cooling, heating, and lighting energy consumption and the amount of energy produced by the PV system is a great task as a decision-making problem with multiple independent and dependent variables. This study searches for the installation of a PV integrated shading system to an office building through a decision support methodology. Independent variables such as the shading surface area, and angle and the dependent variables such as the energy, embodied carbon, and cost indicators are analysed within the decision support methodology. The results provide a definitive structure for such decision-making problems. Moreover, findings highlight that although Mono-Si PV options are more efficient in terms of energy generation, Poly-Si PV options are found to be the ideal solutions, due to the lower cost and embodied carbon. © 2023 The Author(s)
  • Conference Object
    Citation - WoS: 3
    Decision Support Model for Pv Integrated Shading System: Office Building Case
    (Elsevier, 2023) Yilmaz, Burcu Cigdem; Yılmaz, Burcu Çiğdem; Yilmaz, Yigit
    Office buildings have a high amount of internal heat, solar gain, daytime energy consumption and occupancy schedules. Therefore, the increment in the cooling energy demand highlights the shading systems to provide efficient energy retrofit for office buildings. Shading surfaces, to prevent the high amount of solar radiation, are suitable for the collection of solar energy and the integration of photovoltaic systems onto the building envelope. However, the impact of the shading surface on the cooling, heating, and lighting energy consumption and the amount of energy produced by the PV system is a great task as a decision-making problem with multiple independent and dependent variables. This study searches for the installation of a PV integrated shading system to an office building through a decision support methodology. Independent variables such as the shading surface area, and angle and the dependent variables such as the energy, embodied carbon, and cost indicators are analysed within the decision support methodology. The results provide a definitive structure for such decision-making problems. Moreover, findings highlight that although Mono-Si PV options are more efficient in terms of energy generation, Poly-Si PV options are found to be the ideal solutions, due to the lower cost and embodied carbon. (c) 2023 The Author(s). Published by Elsevier Ltd. This is an open access article under theCCBYlicense (http://creativecommons.org/licenses/by/4.0/).