Artificial Intelligence (AI) is the biggest ally for any smart building. Obviously, you can’t call yourself a “smart building” if you don’t have smart equipment and tools to make daily operations faster and more convenient.  

One of the biggest contributions of AI in buildings is gathering data from different building management systems. AI has predictive analytics that prompts humans when maintenance is needed or monitors equipment performance. Take for example how AI is being used in HVAC systems.  

AI is used in the HVAC industry to help improve efficiency and productivity. The technology can be used to monitor the performance, maintenance, and usage of equipment. AI is also being used to predict maintenance needs, analyze data from previous measurements and detect potential problems before they become a problem. 

What are the Advantages of Using AI in HVAC Systems

To understand how AI works for HVAC systems in buildings, let us first look at what a smart building is.  A smart building is one that utilizes advanced technology to optimize its performance and efficiency. A building may integrate heating, ventilation, air conditioning, lighting, and security sensors, controls, and software to create a responsive environment. Smart buildings can see and respond to changes in occupancy, temperature, and other conditions.   

The first AI breakthrough for HVAC systems came in 2014 when researchers at MIT developed an algorithm that could predict when a person would leave a room based on their movements. Since then, AI has become an increasingly common feature of HVAC systems. Here are some examples of how AI is being used in HVAC systems. 

Occupancy Control

AI helps track occupancy patterns in buildings to adjust climate settings accordingly. It automatically detects when someone leaves the room to turn off the heat or air-conditioning. 

Provides Predictive Maintenance

AI is being applied to help companies understand their HVAC systems better, which allows them to better predict their needs for maintenance and repairs. This information allows facility owners and managers to make informed decisions about how much money they should spend on maintenance versus replacement or refurbishment of an existing system 

For instance, AI helps engineers know when the system needs maintenance so they can perform it before it becomes critical. It makes the HVAC system more efficient, which translates to money and energy savings. With this information, you can plan out your HVAC systems so we don’t need to hire someone else to do that job for you. If you have an emergency situation like a power outage or a pipe burst under one of our units, AI can help you get back up and running quickly so we don’t lose any business while we wait for repairs 

Detects Saving Opportunities

AI can automatically detect when someone leaves the room to turn off the heat or air conditioning. For example, if an AI system detects that a room is empty, it can automatically reduce the heating or cooling in that room to save energy. When the room becomes occupied again, the system can detect the presence of people and adjust the temperature and ventilation to provide a comfortable environment. 

Its ability to identify savings opportunities makes it an efficient tool for building owners, most especially for those involved in the hospitality business. Imagine an AI giving regular reports on operational performance. You can use this data to get insights regarding the different areas of your facilities that need improvement, so you can prioritize them and provide a problem-specific solution.  

Extends the Life of HVAC Equipment

AI helps detect leaks in pipes and fix them before they can cause damage. Identifying and managing required maintenance in HVAC can extend the lifespan of your equipment. The earlier you detect them, the earlier to get the right solution so you can minimize repair frequency. Faults that are mitigated at an early stage have lesser chances of recurrence. 

Reduced Emissions

AI makes use of machine learning algorithms to predict equipment failures and schedule maintenance accordingly, which can help to reduce downtime and save energy.  It also detects leaks in pipes and fixes them before they can cause damage – something that you often neglect. This capability of AI’s not only helps with energy and money savings but also reduces emissions.  

A broken HVAC can produce more carbon dioxide compared to a well-maintained counterpart.  For instance, if your HVAC system has leaked, it will make it more difficult to produce cold air causing the room temperature to rise. It also easily overheats and can even cause electrical breakdowns. In the worst-case scenario, it can cause fire hazards, putting more people at risk and more smoke in the air.  

Related article: Optimize Heating and Air Conditioning with Smart Home Automation. 

What Developments Are Expected in the Future? 

Buildings that utilize the right AI technologies to manage their facilities like the HVAC system can experience an amazing transformation. For building management businesses, it can closely align them to the business expectations of tenants. In turn, they can reap huge benefits both financially and operationally. In the future, AI and HVAC systems are expected to become increasingly integrated and sophisticated. One key area of development is the use of machine learning algorithms to optimize HVAC performance and emergency efficiency.  

For example, these algorithms can be used to predict and prevent equipment failures, and automatically adjust the temperature based on real-time weather data and occupancy patterns. You can also expect the use of IoT (Internet of Things) technology to connect HVAC systems to the internet, allowing for remote monitoring and control.  

This could enable building managers to more easily track and manage HVAC performance and could also allow for the use of predictive maintenance techniques to reduce downtime and costs. Moreover, the integration of AI and HVAC could enable the use of more advanced control systems, such as those based on fuzzy logic or genetic algorithms. As a result, you could optimize your HVAC setting based on a wide range of factors like weather conditions, energy prices, and customer behavior.  

Overall, the integration of AI and HVAC systems is expected to lead to more energy-efficient and cost-effective HVAC systems, as well as improved comfort and indoor air quality for building occupants. 

Related article: What Are the Advantages of Air Balancing? 

AQM, Inc.