A platform for research: civil engineering, architecture and urbanism
A platform for research: civil engineering, architecture and urbanism
Applications of artificial intelligence for energy efficiency throughout the building lifecycle: An overview
https://orcid.org/0009-0002-8304-8175
https://orcid.org/0000-0001-9405-498X
Graphical abstract Display Omitted
Highlights AI technologies can significantly assist in reducing energy consumption in buildings. This review explores this notion considering various stages of the building lifecycle. This includes design, construction, operation, and maintenance stages. It summarizes several technologies related to AI and energy efficiency in buildings. It also discusses future opportunities within these lifecycle stages.
Abstract The use of Artificial Intelligence (AI) technologies in buildings can assist in reducing energy consumption through enhanced control, automation, and reliability. This review aims to explore the use of AI to enhance energy efficiency throughout various stages of the building lifecycle, including building design, construction, operation and control, maintenance, and retrofit. The review encompasses multiple studies in the field published between 2018 and 2023. These studies were identified through keyword searches that best represent the topic, using various research databases. In addition to summarizing the technologies and approaches related to AI and energy efficiency, this review discusses future opportunities for the application of AI in energy efficiency within these lifecycle stages. The review highlights that AI-based solutions are currently employed in building design generation and optimization, decision-making, predictive and adaptive control, fault detection and diagnosis, as well as energy benchmarking. These applications effectively facilitate energy efficiency in buildings to meet today's energy needs. However, further research is needed to explore the use of AI in the construction phase to support the development of energy-efficient construction techniques and systems, in addition to scheduling and predictive decision-making.
Applications of artificial intelligence for energy efficiency throughout the building lifecycle: An overview
https://orcid.org/0009-0002-8304-8175
https://orcid.org/0000-0001-9405-498X
Graphical abstract Display Omitted
Highlights AI technologies can significantly assist in reducing energy consumption in buildings. This review explores this notion considering various stages of the building lifecycle. This includes design, construction, operation, and maintenance stages. It summarizes several technologies related to AI and energy efficiency in buildings. It also discusses future opportunities within these lifecycle stages.
Abstract The use of Artificial Intelligence (AI) technologies in buildings can assist in reducing energy consumption through enhanced control, automation, and reliability. This review aims to explore the use of AI to enhance energy efficiency throughout various stages of the building lifecycle, including building design, construction, operation and control, maintenance, and retrofit. The review encompasses multiple studies in the field published between 2018 and 2023. These studies were identified through keyword searches that best represent the topic, using various research databases. In addition to summarizing the technologies and approaches related to AI and energy efficiency, this review discusses future opportunities for the application of AI in energy efficiency within these lifecycle stages. The review highlights that AI-based solutions are currently employed in building design generation and optimization, decision-making, predictive and adaptive control, fault detection and diagnosis, as well as energy benchmarking. These applications effectively facilitate energy efficiency in buildings to meet today's energy needs. However, further research is needed to explore the use of AI in the construction phase to support the development of energy-efficient construction techniques and systems, in addition to scheduling and predictive decision-making.
Applications of artificial intelligence for energy efficiency throughout the building lifecycle: An overview
https://orcid.org/0009-0002-8304-8175
https://orcid.org/0000-0001-9405-498X
Graphical abstract Display Omitted
Highlights AI technologies can significantly assist in reducing energy consumption in buildings. This review explores this notion considering various stages of the building lifecycle. This includes design, construction, operation, and maintenance stages. It summarizes several technologies related to AI and energy efficiency in buildings. It also discusses future opportunities within these lifecycle stages.
Abstract The use of Artificial Intelligence (AI) technologies in buildings can assist in reducing energy consumption through enhanced control, automation, and reliability. This review aims to explore the use of AI to enhance energy efficiency throughout various stages of the building lifecycle, including building design, construction, operation and control, maintenance, and retrofit. The review encompasses multiple studies in the field published between 2018 and 2023. These studies were identified through keyword searches that best represent the topic, using various research databases. In addition to summarizing the technologies and approaches related to AI and energy efficiency, this review discusses future opportunities for the application of AI in energy efficiency within these lifecycle stages. The review highlights that AI-based solutions are currently employed in building design generation and optimization, decision-making, predictive and adaptive control, fault detection and diagnosis, as well as energy benchmarking. These applications effectively facilitate energy efficiency in buildings to meet today's energy needs. However, further research is needed to explore the use of AI in the construction phase to support the development of energy-efficient construction techniques and systems, in addition to scheduling and predictive decision-making.
Applications of artificial intelligence for energy efficiency throughout the building lifecycle: An overview
Yussuf, Raheemat O. (author) / Asfour, Omar S. (author)
Energy and Buildings ; 305
2024-01-05
Article (Journal)
Electronic Resource
English
AEC , Architecture, Engineering and Construction , AI , Artificial Intelligence , ANN , Artificial Neural Network , BEMS , Building Energy Management Systems , BES , Building Energy Systems , BIM , Building Information Modelling , CAD , Computer-Aided Design , DSS , Decision Support System , DL , Deep Learning , DRL , Deep Reinforcement Learning , DT , Digital Twining , EA , Evolutionary Algorithms , FDD , Fault Detection and Diagnosis , GD , Generative Design , HVAC , Heating, Ventilation, and Air Conditioning , IEQ , Indoor Environmental Quality , IoT , Internet of Things , ML , Machine Learning , MPC , Model Predictive Control , TPD , Traditional Project Delivery , Buildings , Building Lifecycle , Energy Efficiency
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