Digitalization for sustainable buildings: Technologies, applications, potential, and challenges

被引:29
作者
Asif, Muhammad [1 ,3 ,4 ]
Naeem, Ghinwa [1 ]
Khalid, Muhammad [2 ,3 ]
机构
[1] King Fahd Univ Petr & Minerals, Architectural Engn & Construct Management, Dhahran, Saudi Arabia
[2] King Fahd Univ Petr & Minerals, Elect Engn Dept, Dhahran, Saudi Arabia
[3] KFUPM, IRC Sustainable Energy Syst, Dhahran, Saudi Arabia
[4] King Fahd Univ Petr & Minerals, Architectural Engn Dept, Dhahran, Saudi Arabia
关键词
AI; BIM; Buildings; Climate change; Digitalization; Energy efficiency; Renewable energy; Smart meters; Sustainability; MANAGEMENT-SYSTEM; ARTIFICIAL-INTELLIGENCE; ENERGY; IOT; DESIGN; FUTURE; SECTOR;
D O I
10.1016/j.jclepro.2024.141814
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
In the fight against climate change, and to improve its sustainability standards, the building sector is trying to reduce its energy consumption and environmental footprint. Leveraging digitalization, in the wake of Industry 4.0 and 5.0, holds immense potential in revolutionizing the buildings and construction sector. Digitalization is transforming buildings throughout their life cycle encompassing design, construction, operation, and retrofitting/decommissioning stages. This study aims to analyze the role of digital technologies in sustainable buildings. In doing so, a systematic literature review is conducted to examine the current landscape of the application of 13 key digital technologies - sensors, Building information modeling (BIM), Building Management Systems (BMS), smart meters, 3D printing/additive manufacturing, robotics, big data analytics, Internet of Things (IoT), machine learning, artificial intelligence, digital twin, blockchain, and cyber security - in terms of their scope and prospects in the building sector. These technologies have been discussed considering their functions, applications in buildings, adoption and market trends, challenges, and the way forward. The findings of the study reveal that digital technologies are making buildings more integrated, flexible, energy-efficient, smart, and sustainable by optimizing resource utilization, enhancing operational efficiency, and minimizing environmental impact. For instance, sensors enable real -time data collection, BIM facilitates sustainability assessments, and AI enhances energy management. Further, digital technologies can lead to a 30% -50% improvement in energy intensity in the building sector by 2040. While digital technologies offer promising solutions in terms of improving sustainability standards in buildings, they also face several challenges such as high initial cost, privacy and security risks associated with data breaches and cyber-attacks, and lack of customer awareness and a skilled workforce. Conducive policies and regulations are critical for creating an enabling environment that supports the adoption of digital technologies.
引用
收藏
页数:19
相关论文
共 167 条
  • [1] Afsari K., 2018, 54 ASC ANN INT C P
  • [2] Energy and Water Saving Potential in Commercial Buildings: A Retrofit Case Study
    Ahmed, Wahhaj
    Alazazmeh, Ayman
    Asif, Muhammad
    [J]. SUSTAINABILITY, 2023, 15 (01)
  • [3] A critical review of energy retrofitting trends in residential buildings with particular focus on the GCC countries
    Ahmed, Wahhaj
    Asif, Muhammad
    [J]. RENEWABLE & SUSTAINABLE ENERGY REVIEWS, 2021, 144
  • [4] A Smart Home Energy Management System Using IoT and Big Data Analytics Approach
    Al-Ali, A. R.
    Zualkernan, Imran A.
    Rashid, Mohammed
    Gupta, Ragini
    AliKarar, Mazin
    [J]. IEEE TRANSACTIONS ON CONSUMER ELECTRONICS, 2017, 63 (04) : 426 - 434
  • [5] Energy Management Systems and Strategies in Buildings Sector: A Scoping Review
    Al-Ghaili, Abbas M.
    Kasim, Hairoladenan
    Al-Hada, Naif M.
    Jorgensen, Bo Norregaard
    Othman, Marini
    Jihua, Wang
    [J]. IEEE ACCESS, 2021, 9 : 63790 - 63813
  • [6] Robotic 3D printing of concrete building components for residential buildings in Saudi Arabia
    Alabbasi, Mohammad
    Agkathidis, Asterios
    Chen, Hanmei
    [J]. AUTOMATION IN CONSTRUCTION, 2023, 148
  • [7] Real-time data-based performance analysis of a large-scale building applied PV system
    Alazazmeh, Ayman
    Ahmed, Ahsan
    Siddiqui, Mubashir
    Asif, Muhammad
    [J]. ENERGY REPORTS, 2022, 8 : 15408 - 15420
  • [8] Commercial building retrofitting: Assessment of improvements in energy performance and indoor air quality
    Alazazmeh, Ayman
    Asif, Muhammad
    [J]. CASE STUDIES IN THERMAL ENGINEERING, 2021, 26 (26)
  • [9] Climate change sensitive sizing and design for nearly zero-energy office building systems in Brussels
    Amaripadath, D.
    Rahif, R.
    Zuo, W.
    Velickovic, M.
    Voglaire, C.
    Attia, S.
    [J]. ENERGY AND BUILDINGS, 2023, 286
  • [10] Predicting energy consumption in multiple buildings using machine learning for improving energy efficiency and sustainability
    Anh-Duc Pham
    Ngoc-Tri Ngo
    Thu Ha Truong Thi
    Nhat-To Huynh
    Ngoc-Son Truong
    [J]. JOURNAL OF CLEANER PRODUCTION, 2020, 260