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The potential for building automation systems with modeling software to reduce overall energy consumption in buildings in the coming years is incredibly promising. The increased digitalization of building operations through the implementation of building automation systems (BAS) can have a significant impact on energy consumption in both residential and commercial buildings. Projected energy savings of up to 10% with a cumulative total of 65 PWh by 2040 indicates the significant role BAS can play in achieving energy efficiency and sustainability goals. This level of energy savings is important not only to reduce energy costs, but also to reduce environmental impact and promote more sustainable building practices.
It is also interesting to note the regulatory aspect with the mandatory adoption of Class B standards in the EU for non-residential new buildings and deep renovation. Nevertheless, the prevalence of Class D technology systems in existing buildings underlines the need for further action to modernize and update building technologies.
BAS hardware and software components play a critical role in energy management and optimization. The hardware, which includes meters, sensors, computers, cloud services, controllers and actuators, forms the basis for collecting, analyzing and executing control strategies. Meanwhile, software serves as the interface between measurements and building controllers, facilitating the application of control strategies and optimization algorithms to achieve energy efficiency.
The potential for controllers to utilize artificial intelligence (#AI) and machine learning (#ML) is particularly exciting. Predicting and measuring energy consumption intensity in the case studies reviewed for various building functions. By studying user needs and behavior, these systems can anticipate decisions and provide usage recommendations, ultimately leading to a more adaptive and efficient building operation. https://lnkd.in/eSp3RVbc
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