Tagging and data modeling have numerous benefits in the Buildings industry. In a recent blog, we discussed the challenges in the industry that are being solved by Project Haystack. Now, we will look at some practical examples of how tagging and data modeling is being used by the Haystack community in a variety of applications and use cases in a series of seven blogs (the seven payoffs). This blog highlights the payoffs of using tags in conjunction with an control logic.
The return on investment increases when automatic control functions enabled by a tagged and modeled system comes into play. For example, many building operators have the opportunity to save significant energy costs through participation in demand response programs. However, orchestrating whole-building control, given the various data silos and subsystems (HVAC, lighting, and enterprise scheduling) has been difficult and costly to implement.
Without tagging, the application engineer would need to copy control routine programming for each of the equipment they want to control. They would then link the inputs and outputs to the copy of the control logic, repeating this step over and over again. This is both tedious and error-prone. By using the Haystack method, you can simply tag models for all of the equipment that needs to be controlled and tag the corresponding control sequence so that the inputs and outputs automatically match up. This drastically reduces the traditional amount of time, labor, and cost required to implement control strategies across the building.
To read more about all of the payoffs, click here and download the complete whitepaper. To see FIN's Control Logic in action, check out the video below.