Araştırma Makalesi

Technological Advances in AEC: AI, Machine Learning, BIM, and the Future of Sustainable Building Design in a Post-Pandemic World

Cilt: 8 Sayı: 3 15 Mayıs 2025
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Technological Advances in AEC: AI, Machine Learning, BIM, and the Future of Sustainable Building Design in a Post-Pandemic World

Öz

The Architecture, Engineering, and Construction (AEC) industry has experienced a profound transformation, accelerated by the COVID-19 pandemic, which underscored the need for digital solutions to enhance sustainability and resilience. Despite existing technological advancements, the pandemic revealed gaps in the widespread adoption of tools like Artificial Intelligence (AI), Machine Learning (ML), Building Information Modeling (BIM), Internet of Things (IoT), and Digital Twins (DT). This study addresses the critical question of how these technologies have reshaped building design, construction, and operation processes to meet sustainability goals in the post-pandemic era. A systematic literature review of 35 peer-reviewed studies published between 2019 and 2024 was conducted to analyze the impact of key digital technologies on sustainable building practices. The research employed a thematic analysis focusing on technological advancements, sustainability applications, challenges and barriers, and emerging trends such as smart cities, renewable energy integration, and circular economy principles. The findings reveal that technologies like AI and DTs play a pivotal role in enhancing energy efficiency, enabling predictive maintenance, and improving lifecycle resource management. However, barriers such as interoperability issues, high implementation costs, and data security concerns persist, hindering widespread adoption. The study emphasizes the growing trend toward data-driven sustainability and the need to address these challenges through collaborative frameworks and technological innovation. In conclusion, this research highlights the transformative potential of digital technologies in advancing sustainability and resilience within the AEC industry. By bridging the gap between technological innovation and sustainable development goals, this study provides actionable insights for overcoming existing barriers and fostering adaptive, energy-efficient, and environmentally responsible built environments in a post-pandemic world.

Anahtar Kelimeler

Kaynakça

  1. Adewale BA, Ene VO, Ogunbayo BF, Aigbavboa CO. 2024. A systematic review of the applications of AI in a sustainable building’s lifecycle. Buildings, 14(7): 2137. https://doi.org/10.3390/buildings14072137.
  2. Alizadehsalehi S, Hadavi A, Huang JC. 2020. From BIM to extended reality in AEC industry. Autom. Constr., 116: 103254. https://doi.org/10.1016/j.autcon.2020.103254.
  3. Amoatey P, Omidvarborna H, Baawain M, Al-Mamun A. 2020. Impact of building ventilation systems and habitual indoor incense burning on SARS-CoV-2 virus transmissions in Middle Eastern countries. Sci. Total Environ., 733: 139356. https://doi.org/10.1016/j.scitotenv.2020.139356.
  4. Aniekan Akpan Umoh CN, Nwasike OAT, Adekoya O O, Gidiagba JO. 2024. A review of smart green building technologies: Investigating the integration and impact of AI and IoT in sustainable building designs. Comput. Sci. IT Res. J., 5(1): 141–165. https://doi.org/10.51594/csitrj.v5i1.715.
  5. Arowoiya VA, Moehler RC, Fang Y. 2024. Digital twin technology for thermal comfort and energy efficiency in buildings: A state-of-the-art and future directions. Energy Built Environ., 5(5): 641–656. https://doi.org/10.1016/j.enbenv.2023.05.004.
  6. Arsecularatne B, Rodrigo N, Chang R. 2024. Digital twins for reducing energy consumption in buildings: A review. Sustainability, 16(21): 9275. https://doi.org/10.3390/su16219275.
  7. Asif M, Naeem G, Khalid M. 2024. Digitalization for sustainable buildings: Technologies, applications, potential, and challenges. J. Clean. Prod., in press.
  8. Badenko V, Bolshakov N, Celani A, Puglisi V. 2024. Principles for sustainable integration of BIM and digital twin technologies in industrial infrastructure. Sustainability, 16(22): 9885. https://doi.org/10.3390/su16229885.

Ayrıntılar

Birincil Dil

İngilizce

Konular

Görsel İletişim Tasarımı (Diğer), Mimari Mühendislik

Bölüm

Araştırma Makalesi

Yayımlanma Tarihi

15 Mayıs 2025

Gönderilme Tarihi

18 Aralık 2024

Kabul Tarihi

26 Mart 2025

Yayımlandığı Sayı

Yıl 2025 Cilt: 8 Sayı: 3

Kaynak Göster

APA
Şenel Solmaz, A. (2025). Technological Advances in AEC: AI, Machine Learning, BIM, and the Future of Sustainable Building Design in a Post-Pandemic World. Black Sea Journal of Engineering and Science, 8(3), 757-774. https://doi.org/10.34248/bsengineering.1603629
AMA
1.Şenel Solmaz A. Technological Advances in AEC: AI, Machine Learning, BIM, and the Future of Sustainable Building Design in a Post-Pandemic World. BSJ Eng. Sci. 2025;8(3):757-774. doi:10.34248/bsengineering.1603629
Chicago
Şenel Solmaz, Aslıhan. 2025. “Technological Advances in AEC: AI, Machine Learning, BIM, and the Future of Sustainable Building Design in a Post-Pandemic World”. Black Sea Journal of Engineering and Science 8 (3): 757-74. https://doi.org/10.34248/bsengineering.1603629.
EndNote
Şenel Solmaz A (01 Mayıs 2025) Technological Advances in AEC: AI, Machine Learning, BIM, and the Future of Sustainable Building Design in a Post-Pandemic World. Black Sea Journal of Engineering and Science 8 3 757–774.
IEEE
[1]A. Şenel Solmaz, “Technological Advances in AEC: AI, Machine Learning, BIM, and the Future of Sustainable Building Design in a Post-Pandemic World”, BSJ Eng. Sci., c. 8, sy 3, ss. 757–774, May. 2025, doi: 10.34248/bsengineering.1603629.
ISNAD
Şenel Solmaz, Aslıhan. “Technological Advances in AEC: AI, Machine Learning, BIM, and the Future of Sustainable Building Design in a Post-Pandemic World”. Black Sea Journal of Engineering and Science 8/3 (01 Mayıs 2025): 757-774. https://doi.org/10.34248/bsengineering.1603629.
JAMA
1.Şenel Solmaz A. Technological Advances in AEC: AI, Machine Learning, BIM, and the Future of Sustainable Building Design in a Post-Pandemic World. BSJ Eng. Sci. 2025;8:757–774.
MLA
Şenel Solmaz, Aslıhan. “Technological Advances in AEC: AI, Machine Learning, BIM, and the Future of Sustainable Building Design in a Post-Pandemic World”. Black Sea Journal of Engineering and Science, c. 8, sy 3, Mayıs 2025, ss. 757-74, doi:10.34248/bsengineering.1603629.
Vancouver
1.Aslıhan Şenel Solmaz. Technological Advances in AEC: AI, Machine Learning, BIM, and the Future of Sustainable Building Design in a Post-Pandemic World. BSJ Eng. Sci. 01 Mayıs 2025;8(3):757-74. doi:10.34248/bsengineering.1603629

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