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Year 2022, - Vol.23 - 16th DDAS (MSTAS) Special Issue -2022, 42 - 49, 23.12.2022
https://doi.org/10.18038/estubtda.1166064

Abstract

References

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  • [16] Russell S, Norvig P. AI a modern approach. Learning, 2005; 2(3): 4-12.

IMPROVING EXISTING HOUSING STOCKS A MODEL WITH ARTIFICIAL SMART SUPPORT

Year 2022, - Vol.23 - 16th DDAS (MSTAS) Special Issue -2022, 42 - 49, 23.12.2022
https://doi.org/10.18038/estubtda.1166064

Abstract

Habitable housing and a healthy environment are a fundamental human right. In ensuring that existing housing stocks are re-acquired with artificial intelligence support, in making them healthy and sustainable, the development of a support intelligent system is the main topic of this study. The improvement of what is present provides a holistic benefit that has a return in economic, social, cultural and environmental contexts. It is increasingly important to take advantage of technology to make predictions and assessments with effective policies as well as effective strategies, algorithms, software development, and simulation in improvement projects. The goal is to preserve the resources and energy we have, reduce waste production to zero, reduce carbon footprint, and use the smart model supported by artificial intelligence in this study. Demolition and rebuilding should only be considered as the last resort, as the growth of environmental, cultural, waste areas, and waste resources and energy waste. Improving robust and functional buildings without demolishing them, adapting structures with cultural value to current technology, ensuring sustainability with a smart system can be achieved. In this study, it is aimed at achieving a ‘Smart Model’, which is supported by artificial intelligence, which is designed in light of examples around the world to evolve existing housing stocks with high environmental impact and resource utilization, into buildings with technology-appropriate equipment that have sustainable properties for resource use.

References

  • [1] Türkiye İstatistik Kurumu. (n.d.). Türkiye İstatistik Kurumu Yapı İzin İstatistikleri. Retrieved May 2020. from https://data.tuik.gov.tr/Bulten/Index?p=Yapi-Izin-Istatistikleri-Ocak-Eylul,-2020-33782
  • [2] Karademir AÇ, Dağ A. Sürdürülebilirlik uygulaması olarak yeşil bina ve LEED sertifikasyonu üzerine Türkiye inşaat sektöründe bir çalışma. Akademia Doğa ve İnsan Bilimleri Dergisi, 2021; 63-83.
  • [3] World Resources Institute. (n.d.). Domestic water use grew 600% over the past 50 years. Retrieved April 2022. from https://www.wri.org/insights/domestic-water-use-grew-600-over-past-50-years
  • [4] Steele J. Sustainable architecture: principles, paradigms, and case studies. McGraw-Hill, 1997
  • [5] Grıerson D. Towards sustainable building design, design principles and practices. An International Journal, 2011; 3(3).
  • [6] Kamar K, Ismail E, Abd H, Egbu C. Sustainable and green construction. Construction Industry Development Board Malaysia (CIDB), 2010.
  • [7] Shemirani S, Akhtar M, Akhtar H. Sustainable architecture, energy and environment. 2th Conference and Specialized Fair of Environment Engineering, 2008; Iran Tehran University.
  • [8] Ghorbanzadeh M, Nezami A. Smart architecture contribution to achieving sustainable architecture realization. Rome: WIT Press, 2010.
  • [9] Architizer. (n.d.). Renovation Residential Building Kapfenberg. Retrieved April 2022 from https://architizer.com/projects/renovation-residential-building-kapfenberg/
  • [10] Almeida M, Ferreira M. Cost effective energy and carbon emissions optimization in building renovation (Annex 56). Energy and Buildings, 2017; (Vol:152): 718-738.
  • [11] U.S. Energy Informatıon Administration. (n.d.). Use of energy in explained. Retrieved April 2022 from https://www.eia.gov/energyexplained/use-of-energy/
  • [12] World Resources Institute. (n.d.). Domestic Water Use Grew 600% Over the Past 50 Years. Retrieved April 2022. from https://www.wri.org/insights/domestic-water-use-grew-600-over-past-50-years
  • [13] Li Z, Boyle F, Reynolds A. Rainwater harvesting and greywater treatment systems for domestic application in Ireland. Desalination, 2010; (Vol:260): 1-8.
  • [14] Surden H. Artificial intelligence and law: An overview. Georgia State University Law Review, 2019; (Vol:35): 19-22.
  • [15] U.S Environmental Protection Agency (EPA). U. E. A. Resource Conservation and Recovery. Local Government Clımate And Energy Strategy Guıdes, 2012.
  • [16] Russell S, Norvig P. AI a modern approach. Learning, 2005; 2(3): 4-12.
There are 16 citations in total.

Details

Primary Language English
Subjects Engineering
Journal Section Articles
Authors

Murat Batuhan Zeybek 0000-0002-5275-7780

Leyla Yekdane Tokman 0000-0002-8293-0871

Publication Date December 23, 2022
Published in Issue Year 2022 - Vol.23 - 16th DDAS (MSTAS) Special Issue -2022

Cite

AMA Zeybek MB, Tokman LY. IMPROVING EXISTING HOUSING STOCKS A MODEL WITH ARTIFICIAL SMART SUPPORT. Eskişehir Technical University Journal of Science and Technology A - Applied Sciences and Engineering. December 2022;23:42-49. doi:10.18038/estubtda.1166064