Journals / Mersin Photogrammetry Journal / 2025 / Volume: 7 Issue: 2

Integrating Solar Potential Analysis into Urban Zoning for Sustainable Green Building Design

Mustafa Yalçın(AFYON KOCATEPE ÜNİVERSİTESİ)0000-0001-6402-5651
Ahmet Deniz(AFYON KOCATEPE UNIVERSITY)0000-0002-0326-3733
Murat Ersin Korkmaz(AFYON KOCATEPE UNIVERSITY)0000-0003-3850-5138
Pages
—
Publication Date
2025-12-30
🏛️Bibliographic metadata and full text access for this article are provided via DergiPark.
DergiPark Record ↗
✨

AI Summary & Key Takeaways

AI Insight
⚡ TL;DR(Too Long; Didn't Read)

The findings provide a quantitative framework for integrating solar optimization into zoning and urban design to support energy-efficient, sustainable cities.

📌 3 Key Takeaways

🎯
Objective & Hypothesis:The effective use of renewable energy sources is vital for achieving sustainable urbanization through green buildings.
📊
Key Findings & Data:Integrating solar energy conservation into urban-scale settlement plans can significantly reduce dependence on nonrenewable energy used for heating.
💡
Conclusion & Impact:The findings provide a quantitative framework for integrating solar optimization into zoning and urban design to support energy-efficient, sustainable cities.
🔬Design:Modeling & Simulation
📍Scope:Comprehensive Sample
⚙️Variables:Solar Energy · 3D Modelling · Green Buildings

Abstract

The effective use of renewable energy sources is vital for achieving sustainable urbanization through green buildings. Integrating solar energy conservation into urban-scale settlement plans can significantly reduce dependence on nonrenewable energy used for heating. Spatial planning that considers solar energy efficiency therefore contributes to creating more sustainable urban environments. Since zoning plans are long-term and difficult to revise, they should be approached from multiple perspectives during the planning stage. This study analyzes the physical and planning parameters affecting the solar exposure potential of building facades within zoning islands. It was conducted on a selected undeveloped zoning island in the city center of Afyonkarahisar Province. Basic urban development components such as block orientation, building height, typology, and road width were evaluated as criteria. These components were modeled using rigid modeling based on the current zoning plan and alternative configurations, and corresponding simulations were generated. Annual solar energy on building facades was calculated using the SEBE (Solar Energy on Building Envelopes) algorithm within GIS-based solar radiation models for different scenarios. Results revealed that building height and orientation are the most influential parameters, causing up to a 15% variation in solar potential. The findings provide a quantitative framework for integrating solar optimization into zoning and urban design to support energy-efficient, sustainable cities.

🔖

Cite This Article

Yalçın, M., Deniz, A., Korkmaz, M. E. (2025). Integrating Solar Potential Analysis into Urban Zoning for Sustainable Green Building Design. Mersin Photogrammetry Journal, Volume: 7 Issue: 2. https://doi.org/10.53093/mephoj.1825234

📄 Full Text PDF Viewer

📄

PDF görüntüleyici hazırlanıyor...

References (21)

  1. Compagnon, R. (2004). Solar and daylight availability in the urban fabric. Energy and Buildings, 36, 321–328. https://doi.org/10.1016/j.enbuild.2004.01.009
  2. Robinson, D., & Stone, A. (2004). Solar radiation modelling in the urban context. Solar Energy, 77, 295–309, https://doi.org/10.1016/j.solener.2004.05.010
  3. Ying, Y., Koeva, M.N., Kuffer, M., & Zevenbergen, J.A. (2020). Urban 3D modelling methods: A state-of-the-art review. The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, vol.XLIII-B4-2020, 699–706. https://doi.org/10.5194/isprs-archives-XLIII-B4-2020-699-2020
  4. Lindberg, F., Jonsson, P., Honjo, T., & Wästberg, D. (2015). Solar energy on building envelopes – 3D modelling in a 2D environment. Solar Energy, 115, 369–378. https://doi.org/10.1016/j.solener.2015.03.001
  5. Redweik, P., Catita, C., & Brito, M. (2013). Solar energy potential on roofs and facades in an urban landscape. Solar Energy, 97, 332–341. https://doi.org/10.1016/j.solener.2013.08.036
  6. Freitas, S., Catita, C., Redweik, P., & Brito, M.C. (2015). Modelling solar potential in the urban environment: State-of-the-art review. Renewable and Sustainable Energy Reviews, 41, 915–931. https://doi.org/10.1016/j.rser.2014.08.060
  7. Yalcin, M., Dereli, M. A., Ugur, M. A., Polat, N., Narin, Ö. G., & Capadis, A. (2019). Modeling of solar energy potential with geographical information system and remote sensing integration: A case study for Bergama, Turkey. In International Symposium on Applied Geoinformatics (ISAG-2019) (pp. 136-164).
  8. Yalçın, M., Deniz, A., & Korkmaz, M. E. Yeşil Binalar için İmar Planı Tasarımlarında Güneş Enerji Verimliliğinin İncelenmesi; Samsun Örneği. Journal of Innovations in Civil Engineering and Technology, 6(2), 143-157.
  9. Groppi, D., Santoli, L., Cumo, F., Garcia, D. A., 2018, A GIS-based model to assess buildings energy consumption and usable solar energy potential in urban areas. Sustainable Cities and Society 40 (2018) 546–558, https://doi.org/10.1016/j.scs.2018.05.005
  10. Machete R., Falcão A.P., Gomes, M.G., Rodrigues A. M., 2018, The use of 3D GIS to analyse the influence of urban context on buildings’ solar energy potential., Energy & Buildings, 177, 290–302, https://doi.org/10.1016/j.enbuild.2018.07.064
  11. Xu, C., Chen, S., Ren, H., Xu, C., Li, G., Li, T., 2025, A novel deep learning and GIS integrated method for accurate city-scale assessment of building facade solar energy potential., Applied Energy 387. https://doi.org/10.1016/j.apenergy.2025.125600
  12. Jareemit D., Srivanit, M., Tanapant, S., Limeechokchai, B., 2025, Role of urban morphology integrated building envelope materials in achieving zero emissions: A simulation-based study in complex-shaped urban blocks, Energy Reports, 13, 27-39. https://doi.org/10.1016/j.egyr.2024.11.088
  13. Formolli, M., Kleiven, T., Lobaccaro, G., 2023, Assessing solar energy accessibility at high latitudes: A systematic review of urban spatial domains, metrics, and parameters. Renewable and Sustainable Energy Reviews, 177, 113231, https://doi.org/10.1016/j.rser.2023.113231
  14. Spagnolo, J., & De Dear, R. (2003). A field study of thermal comfort in outdoor and semi-outdoor environments in subtropical Sydney Australia. Building and environment, 38(5), 721-738. https://doi.org/10.1016/S0360-1323(02)00209-3
  15. Berköz, E., Küçükdoğu, M., Yılmaz, Z., Kocaaslan, G., & Ak, F. (1995). Enerji etkin konut ve yerleşme tasarımı. Tübitak Proje No: İntag, 201, İstanbul, Turkey
  16. Evren, M. B. (2022). Doğrultulu Günışığı Bağlamında Yapı Adasında Morfolojik Değerlendirme: Şirinevler Mahallesi. Türkiye Kentsel Morfoloji Ağı, 649-665.
  17. Demircan, R. K., & Gültekin, A. B. (2017). Binalarda pasif ve aktif güneş sistemlerinin incelenmesi. TÜBAV Bilim Dergisi, 10(1), 36-51.
  18. Koca, Ö. (2006). Sıcak kuru ve sıcak nemli iklim bölgelerinde enerji etkin yerleşme ve bina tasarım ilkelerinin belirlenmesine yönelik yaklaşım Doktora tezi, İstanbul Teknik Üniversitesi, Fen Bilimleri Enstitüsü, İstanbul, Türkiye.
  19. Yasan, A. S. (2011). Bina tasarım parametrelerinin enerji harcamalarına etkilerinin belirlenmesine yönelik bir çalısma. Yüksek Lisans Tezi, İstanbul Teknik Üniversitesi, Fen Bilimleri Enstitüsü, İstanbul, Türkiye. http://hdl.handle.net/11527/8248
  20. Tunalı, S. (2012). Enerji simülasyon metodlarının bina tasarım sürecinde destek sistemi olarak kullanılması, Yüksek lisans tezi, İstanbul Teknik Üniversitesi, Fen Bilimleri Enstitüsü, İstanbul, Türkiye. http://hdl.handle.net/11527/8141
  21. UMEP (2019). Solar Energy - Introduction to SEBE https://umepdocs.readthedocs.io/projects/tutorial/en/latest/Tutorials/SEBE.html Access Date: 19.05.2025.