In a time where environmental concerns are growing and global energy challenges are intensifying, it has become crucial to make efforts to attain a smarter and more sustainable built environment. We live in an age signified by massive datasets and are witnessing the rapid growth of Artificial Intelligence (AI) capabilities, which presents prospects for incorporating these technological advancements into the field of building management. The integration of AI into Building Energy Management Systems (BEMS) can potentially optimize the energy efficiency in buildings and improve the effectiveness of building operations and maintenance. Therefore, this paper review thoroughly evaluates the profound advantages and benefits of applying AI models in building energy management. It investigates various AI techniques applied to optimize HVAC operation, energy savings, and building management, presenting potential avenues for future research in the domain of AI applications in BEMS.
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Humans spend 90% of their time indoors therefore proper air quality in buildings is crucial for human health and productivity. The problem with poor air quality is usually found in buildings with no mechanical ventilation. Contrary, modern office buildings, which are usually equipped with mechanical ventilation, are often over-ventilated. The reason is usually related to lower-than-designed buildings’ occupancies. In the context of a pandemic, the occupancy of the buildings has significantly decreased, meanwhile the ventilation systems often operate at the design air flow rates thus causing a waste of energy. The paper presents long-term occupancy and CO2 concentration monitoring results for 4 office buildings. All of the buildings showed very low occupancies and over-ventilation of the rooms. Seeking to decarbonize the buildings sector much is done to strengthen the requirements for energy efficiency of buildings, but the results of the study prove once more that the potential of better building energy using systems management is still unexploited.
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