A recent study by Schneider Electric found that artificial intelligence (AI) can reduce total energy consumption in buildings by up to 22% compared to traditional control systems. The study, titled "AI for Climate: Quantifying the Energy and Carbon Impact of Building Optimization," analyzed the impact of AI on heating, ventilation, and air conditioning (HVAC) systems. The results showed that AI can save between $13,600 and $49,300 per year in electricity and other services per building.
The study used energy models of buildings validated with real pilot projects in different scenarios in Australia, India, and the United States. The results showed that optimizing HVAC with AI, applied through an intelligent building management system, can generate between 7.2% and 12.7% additional energy savings. According to Schneider Electric, AI can more than double the savings obtained with intelligent controls alone. The analyzed systems combine data on occupancy, weather forecasts, and equipment performance to adjust HVAC operation in real-time.
The benefits of AI in building management are not limited to energy savings. The study found that each building can avoid up to 60 tons of carbon emissions per year, which is equivalent to 59,869 kg of CO2e. Some scenarios even allow for savings of over 200 MWh of energy per year. The avoided emissions are more than 100 times higher than the carbon footprint of the AI system itself. This is particularly significant, as buildings account for around 37% of global carbon emissions related to energy.
The study also highlighted the potential of AI in small and medium-sized buildings with less than approximately 9,290 m². According to Schneider Electric, energy management systems have often been seen as too complex or expensive for these buildings, where there are often no specialized teams. The automation enabled by AI can make them more accessible. This is a significant development, as small and medium-sized buildings can now benefit from energy-efficient solutions.
Pankaj Sharma, EVP of Software & Services at Schneider Electric, emphasized the importance of AI in building management. He stated that AI is putting the power of energy intelligence in the hands of smaller building owners and operators. With increasing energy demand, the ability to reduce emissions and costs simultaneously will be crucial for achieving business and sustainability goals.
The study's findings have significant implications for the building industry. With AI, building owners and operators can optimize energy consumption, reduce emissions, and save costs. The technology can be applied to various types of buildings, including small and medium-sized ones. As the demand for energy continues to grow, the importance of AI in building management will only increase.
In conclusion, the Schneider Electric study demonstrates the potential of AI in reducing energy consumption and emissions in buildings. The technology can be applied to various types of buildings and can generate significant energy savings and emission reductions. As the building industry continues to evolve, AI is likely to play a crucial role in achieving sustainability goals.
Key points
- AI can reduce energy consumption in buildings by up to 22% compared to traditional control systems.
