Energy and Smart Building Industry Blog

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Precision Building Management: Understanding Closed Loop Control

Monday August 19, 2019
By: Phoenix Energy Technologies

building_modernBuilding management continues to become more sophisticated over time. Gone are the days where a building manager could be found, clad in coveralls, banging away in a basement boiler room trying to keep tenants from freezing in the middle of winter.

Facilities management has flourished into a multi-billion dollar industry that takes advantage of leading technological innovations, such as artificial intelligence, for optimal performance. Managers in the modern industry often control multiple smart buildings using a single system from a remotely located, web-based interface.

While the use of technology has made operating multiple buildings far more efficient, it doesn't always mean that the buildings themselves are operated in the most efficient way. The ability to access and control the environmental comfort systems of multiple buildings from a remote location is great, but if the management philosophy is still rooted in methods developed decades ago, you won't reap all of the benefits that modern technology offers. 

Facilities managers face conflicting demands from customer comfort and economic and environmental concerns. In order to meet all of those demands, managers must do more than simply maintain building setpoints. Keeping customers comfortable and the finance people comfortable with the bottom line takes an understanding of control theory, artificial intelligence, and of psychrometric curves.


Closed Loop Control

The use of control theory in HVAC has caused some confusion throughout the industry and it is important that we understand how to properly apply it. 

To start, we need to understand the inputs and outputs as too often they get confused. The target zone temperature - that is the temperature of the space under control - is the intended input of the HVAC control system. The output of the control system is called the bias, which is either in tolerance or out of tolerance. The control systems adjusts based on the tolerance of the bias signal.

Consider a typical control loop used in HVAC control by referencing the block diagram shown below. The components shown above the dashed line are local, such as a thermometer, and those below are remote, such as  the computer network of a building management company. 

Starting at the left, the system receives input from a  temperature sensor that is then compared to the setpoint programmed into the controller. The setpoint may be set digitally or, most basically, through the use of a thermostat slider.

setpoint_graph

The comparison of the two signals creates the actual control signal that in turn activates or deactivates the heating or cooling process.

Many modern systems, such as those used by the building management industry, have added another layer to the control loop that includes the use of artificial intelligence (AI). The role of AI is essentially to refine the control such that the loop no longer mindlessly drives to the setpoint alone. 

Through the use of machine learning algorithms, the setpoint now becomes a lever that tunes the tolerance of the control system output bias. The addition of the machine learning algorithm effectively creates finer and more precise loop control, adding an enormous amount of value for a building manager who is trying to balance the demands of tenant and landlord alike.

Precise Control and ECMs Create Precise Building Management

Systems that operate with precision controls can take full advantage of electronically commutated motors, or ECMs. Unlike normal electric motors that are either fully on or fully off, the speed to ECMs can be adjusted, or modulated, based on the output of the control system. 

Consider the psychrometric chart shown below with the comfort zone highlighted in green. Using a properly designed closed-loop controlled HVAC system, ECMs can be used to maintain building environments within the comfort zone. Keeping spaces in the comfort zone, and minimizing or even eliminating deviations out of it helps save money in the long term through reduced utility and maintenance expenditures.

psychometrics_bias_management

Precise facilities and energy management allows managers to meet the demands of customers, the environment and economics. With the right design and controls, your customers will be more comfortable and you will save them money in the long run. 


If you are interested in learning more information about how different building management technologies can meet your needs, please download our Guide to Building Management Technologies below.

Building Management Technologies

 

 

Posted in: Facilities Management, Adaptive Energy Management