A growing area of application for integrated DT and key technologies, such as AI, is the engineering of envelope and façade systems. These systems play a decisive role in processes to improve the energy performance of buildings. As the construction industry faces increasing pressure to reduce its environmental footprint, AI technologies emerge as a pivotal tool in promoting sustainability and green building practices. AI's ability to analyse vast datasets and generate insights can guide construction companies in optimizing energy usage, minimizing waste, and designing buildings that are both efficient and environmentally friendly. One of the key contributions of AI in sustainable construction is in the realm of energy optimization. Through the analysis of historical energy consumption data, weather patterns, and building occupancy rates, AI algorithms can predict a building's energy needs with remarkable accuracy. This predictive capability allows for the intelligent control of heating, ventilation, and air conditioning (HVAC) systems, lighting, and other energy-consuming elements to ensure they are used efficiently and only when needed. Furthermore, AI can assist in the design phase, suggesting modifications that would reduce energy consumption, such as optimal orientation, window placement, and insulation levels, thereby reducing the building's overall carbon footprint.
SUSTAINABILITY ASPECTS RELATED TO DT
Raco Fabiana
Primo
Writing – Original Draft Preparation
;Balzani MarcelloSecondo
Writing – Original Draft Preparation
2025
Abstract
A growing area of application for integrated DT and key technologies, such as AI, is the engineering of envelope and façade systems. These systems play a decisive role in processes to improve the energy performance of buildings. As the construction industry faces increasing pressure to reduce its environmental footprint, AI technologies emerge as a pivotal tool in promoting sustainability and green building practices. AI's ability to analyse vast datasets and generate insights can guide construction companies in optimizing energy usage, minimizing waste, and designing buildings that are both efficient and environmentally friendly. One of the key contributions of AI in sustainable construction is in the realm of energy optimization. Through the analysis of historical energy consumption data, weather patterns, and building occupancy rates, AI algorithms can predict a building's energy needs with remarkable accuracy. This predictive capability allows for the intelligent control of heating, ventilation, and air conditioning (HVAC) systems, lighting, and other energy-consuming elements to ensure they are used efficiently and only when needed. Furthermore, AI can assist in the design phase, suggesting modifications that would reduce energy consumption, such as optimal orientation, window placement, and insulation levels, thereby reducing the building's overall carbon footprint.I documenti in SFERA sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.


