In the dead of summer or winter, the last thing you want to be without is your building’s HVAC system. HVAC is an abbreviation for Heating, Ventilation, and Air Conditioning. An HVAC system is the foundation of a building’s mechanical system. It preserves thermal comfort for building inhabitants and prevents deterioration of indoor air quality. But this system can be extremely energy-intensive, using AI in the HVAC industry can help with this.
According to a fact sheet published by Australia’s Department of Agriculture, Water, and the Environment, an HVAC system accounts for approximately 40% of a building’s total energy consumption. Energy efficient-based modification can reduce the overall wastage of energy.
HVAC systems are among the most energy-intensive loads in both residential and commercial buildings. As a result, energy efficiency initiatives aimed at HVAC can result in significant savings. HVAC modifications that save energy, on the other hand, should not have an impact on the interior environmental quality, or they might create pain and health problems. This has a detrimental influence on productivity in corporate environments as well.
AI in the HVAC industry shows a lot of promise since it can increase both energy efficiency and indoor environmental quality. AI can optimize variables like airflow, temperature, and humidity, preserving air quality while using the least amount of energy.
At its core, AI is a transformative go-to tool that, when integrated into HVAC systems, can increase their performance and make them extremely comfortable for inhabitants. AI-controlled HVAC systems use data-driven optimization models to keep the temperature and humidity of the premises at levels recommended by federal government agencies such as the Centers for Disease Control and Prevention (CDC) and the American Society of Heating, Refrigerating, and Air-Conditioning Engineers (ASHRAE).
In this article, we will look at the influence and impact of AI in the HVAC industry and its performance.
Challenges of Controlling an HVAC system
When the building conditions are continuously changing, controlling an HVAC system becomes a difficult chore. Consider the following scenarios
- People who enter and depart buildings have a direct impact on temperature management and ventilation requirements.
- Cooling and heating systems should change accordingly to the outdoor temperature
- Indoor activities have an impact on HVAC control and optimization. A commercial kitchen, for example, would require more ventilation than a similar-sized workplace.
All of the aforementioned scenarios cannot be successfully controlled using manual controls for maximum performance. This is where AI comes in, allowing smart control systems to analyze real-time data and modify the HVAC systems accordingly. This allows HVAC systems to run at top performance even under changeable building circumstances.
How can AI in the HVAC industry bring in change?
- Integration of AI with Energy Efficiency
Energy efficiency methods are thought to be the most effective when combined with AI. HVAC improvements that operate well with Artificial Intelligence include Energy Recovery Ventilation and Airside Economizers.
- Energy recovery ventilation – it achieves synergy via the use of smart ventilation. For example, if the outside airflow is adjusted, the energy loss of cooling and heating additional air may be avoided. Furthermore, the ERV system can exchange heat between exhaust and supply air, significantly reducing HVAC workloads. ERV is most effective in space heating and air cooling.
- Airside economizers – in a few climates, it can save a lot of energy. When the outside air has a more acceptable humidity and temperature, the economizer tends to increase ventilation rates while decreasing air conditioning output. There is also a lot of power to be saved because fans are less expensive than air conditioners. As a result, sophisticated controls make it easier to maximize savings by optimizing the airside economizer.
- Increasing the Efficiency of Space Heating and Air Conditioning
There are currently boilers, mini-splits, furnaces, chillers, and other HVAC equipment with AI integrated in. As a consequence, considerable energy savings are to be expected. Older equipment can be updated if desired. Furthermore, increased performance is achievable when smart controls are used for the complete HVAC system. Furthermore, ventilation controls must strike a balance between air quality and energy usage.
Peak human productivity is achieved when the interior temperature is about 22 degrees Celsius, according to research conducted by the Lawrence Berkeley National Laboratory (LBNL). The study also discovered that as the temperature rose or fell, it increased pain and decreased productivity. Even with inadequate HVAC systems, extreme temperatures are very uncommon. However, when the temperature deviates from the optimum range, the interior air quality declines progressively. With AI-enabled smart controls for the HVAC system, you can achieve a better and more efficient performance.
- Ventilation System Smart Controls
When optimizing ventilation systems, it is critical to include external airflow when calculating the ideal factors. Space heaters and air conditioners use less energy than air handlers. The outside airflow, on the other hand, influences a building’s heating and cooling requirements. For example, if the external airflow is increased during the winter, more heat is required to keep the appropriate inside temperature. During the summer, when the ventilation system increases external airflow, the same may be said for air conditioners.
Data-Driven Predictive Control for HVAC system
The term “data-driven method” refers to the study of empirical data from a building without explicitly understanding its physical behavior. DPC (Data-Driven Predictive Control) is a well-known model-based method that uses artificial intelligence to improve the performance of building controls. Such systems may appear to be costly at first glance, but as ScienceDirect research reveals, they endure longer and provide energy restriction with an average error rate of 3%. Because the size and energy systems of commercial buildings are somewhat complicated, DPC systems are an excellent choice for them. Aside from improving a building’s HVAC system, they help property owners in a variety of ways, including:
- Demand Response Programs (DRPs)
Customers’ actions to decrease or adjust their power use during peak hours are referred to as demand response. Utilities, in particular, create Demand Response Programs (DRPs) that give financial incentives to encourage energy customers to participate. This assists them in maintaining system dependability and avoiding blackouts or outages.
- Emergency Repair Prevention
As the name implies, emergency repair prevention is putting in place procedures that reduce the need for emergency repairs. Such programs assess system performance in real-time to discover problems and take action to enhance them.
- Power Demand Prediction
Forecasting power demand is an important component in the planning and optimization of contemporary power systems. AI-based algorithms are used in these applications to evaluate your electricity usage habits and adapt the system to incorporate energy-saving features.
- Automated Modeling
Automated modeling is a method that uses artificial intelligence to create intuitive representations of complicated physical systems. It helps to design complicated building models such as HVAC, control, and plumbing systems to assist owners in analyzing the behavior of their facility before and after a defect arises Modelica is very useful for commercial enterprises in designing efficient building systems that enable them to attain a better degree of comfort while optimizing energy savings.
- Cost Analysis & Management
Analyzing your facility’s energy expenditures is essential for guaranteeing long-term building operations. It not only reduces your costs, but it also allows you to compute critical KPIs across your portfolio.
Impact of AI in the HVAC industry
It is extremely recommended for HVAC experts to stay up to date on all of the latest advances in air conditioning. The latest technologies, such as the management of construction crews, are generally used for project management today. The demand for units with excellent performance and the low energy consumption is certainly higher. Whether for commercial or residential structures, AI or all recent product advancements are likely to affect the operations of the sector.