Local university upgrading systems to reduce energy consumption costs
Acme University’s building supervisor Greg has been asked to establish a plan to make the institution more energy efficient. Greg first notices that each of the rooms in a specific wing of the campus is being heated at varying temperatures, often higher than needed. Greg contacts his mechanical contractor to determine what adjustments can be made to ensure that controlling the temperature zones in the building is at its highest efficiency level.
Some rooms in commercial buildings, such as the university’s laboratory, may require that the temperature be a setpoint that isn’t designed for human comfort, but is a controlled environment for experiments to thrive. Whereas others, like classrooms, would require an entirely different environment.
As a result, large HVAC systems are designed to supply heating or cooling throughout a building to several zones while separately control the setpoints for each one.
Greg has some options for addressing this issue. He can:
What Greg chooses to do is dependent upon what’s happening with the furnace. Let’s dig a bit deeper into these methods.
When the temperature drops below a bandwidth setpoint, the power will turn back on until the setpoint is reached. This cycle of turning on and off repeats continuously to control the temperature within the desired bandwidth over time.
PID control is a closed loop mathematical function.
It works by:
An example of how a nano PLC can implement PID control is in its ability to control the position of a damper based on temperature feedback:
The table below illustrates the implications of applying each methodology using a nano-programmable logic controller. The expectation is that this, plus a deeper understanding of how each works, should provide enough insight into which methodology will work for your needs. We recommend only applying what is needed to manage costs and resources.
Select it to learn more about how it works.