Central plant optimization system with scalable asset models
A system includes processors configured to perform operations including obtaining a base design resource production of a building asset and a base resource production data set comprising a base resource production of the building asset at a plurality of operating points, calculating a scaled resource production data set comprising a scaled resource production of the building asset at the plurality of operating points by scaling the base resource production data set based on a new design resource production of the building asset relative to the base design resource production of the building asset, generating a resource consumption data set comprising a resource consumption of the building asset at the plurality of operating points based on the scaled resource production data set, and initiating an automated action based on the scaled resource production data set and the resource consumption data set.
1. A method comprising:
obtaining a base design resource production of a first building asset and a base resource production data set comprising a base resource production of the first building asset at a plurality of operating points;
calculating a scaled resource production data set comprising a scaled resource production of a second building asset at the plurality of operating points by scaling the base resource production data set based on a new design resource production of the second building asset relative to the base design resource production of the first building asset;
generating a resource consumption data set comprising a resource consumption of the second building asset at the plurality of operating points based on the scaled resource production data set;
generating a model for the second building asset relating the resource consumption of the second building asset and the scaled resource production of the second building asset without requiring a model for the first building asset; and
initiating an automated action based on the model for the second building asset.
2. The method of claim 1 , further comprising:
obtaining a base coefficient of performance (COP) data set comprising a base COP of the first building asset at the plurality of operating points; and
calculating a new COP data set comprising a new COP of the second building asset at the plurality of operating points by adjusting the base COP data set.
3. The method of claim 2 , wherein adjusting the base COP data set comprises:
determining a delta between a base COP of the first building asset at base design conditions and a new COP of the second building asset at new design conditions; and
adjusting the base COP of the first building asset at the plurality of operating points based on the delta between the base COP of the first building asset at base design conditions and the new COP of the second building asset at new design conditions.
4. The method of claim 2 , wherein generating the resource consumption data set comprises calculating the resource consumption of the second building asset at the plurality of operating points based on the scaled resource production of the second building asset at the plurality of operating points and the new COP of the second building asset at the plurality of operating points.
5. The method of claim 1 , a base design resource consumption and the base design resource production of the first building asset correspond to a resource consumption and a resource production of the first building asset at full load.
6. The method of claim 1 , wherein the first building asset and the second building asset comprise at least one of a water-cooled chiller, a heat recovery chiller, a dual-compressor chiller, a steam-driven chiller, an air-cooled chiller, a steam absorption chiller, a double bundle heat recovery chiller, a heat pump chiller, a cooling tower, a boiler, a heater, a steam generator, an air handling unit, or a rooftop unit.
7. The method of claim 1 , wherein the automated action comprises using the model for the second building asset to predict a future resource consumption of the second building asset as a function of a future resource production of the second building asset.
8. The method of claim 7 , wherein the automated action comprises controlling building equipment based on operational parameters predicted to achieve the future resource consumption or the future resource production.
9. A system comprising:
one or more memory devices having instructions stored thereon that, when executed by one or more processors, cause the one or more processors to perform operations comprising:
obtaining a base design resource production of a first building asset and a base resource production data set comprising a base resource production of the first building asset at a plurality of operating points;
calculating a scaled resource production data set comprising a scaled resource production of a second building asset at the plurality of operating points by scaling the base resource production data set based on a new design resource production of the second building asset relative to the base design resource production of the first building asset;
generating a resource consumption data set comprising a resource consumption of the second building asset at the plurality of operating points based on the scaled resource production data set;
generating a model for the second building asset relating the resource consumption of the second building asset and the scaled resource production of the second building asset without requiring a model for the first building asset; and
initiating an automated action based on the model for the second building asset.
10. The system of claim 9 , the operations further comprising:
obtaining a base coefficient of performance (COP) data set comprising a base COP of the first building asset at the plurality of operating points; and
calculating a new COP data set comprising a new COP of the second building asset at the plurality of operating points by adjusting the base COP data set.
11. The system of claim 10 , wherein adjusting the base COP data set comprises:
determining a delta between a base COP of the first building asset at base design conditions and a new COP of the second building asset at new design conditions; and
adjusting the base COP of the first building asset at the plurality of operating points based on the delta between the base COP of the first building asset at base design conditions and the new COP of the second building asset at new design conditions.
12. The system of claim 10 , wherein generating the resource consumption data set comprises calculating the resource consumption of the second building asset at the plurality of operating points based on the scaled resource production of the second building asset at the plurality of operating points and the new COP of the second building asset at the plurality of operating points.
13. The system of claim 9 , a base design resource consumption and the base design resource production of the first building asset correspond to a resource consumption and a resource production of the first building asset at full load.
14. The system of claim 9 , wherein the first building asset and the second building asset comprise at least one of a water-cooled chiller, a heat recovery chiller, a dual-compressor chiller, a steam-driven chiller, an air-cooled chiller, a steam absorption chiller, a double bundle heat recovery chiller, a heat pump chiller, a cooling tower, a boiler, a heater, a steam generator, an air handling unit, or a rooftop unit.
15. The system of claim 9 , wherein the automated action comprises using the model for the second building asset to predict a future resource consumption of the second building asset as a function of a future resource production of the second building asset.
16. The system of claim 15 , wherein the automated action comprises controlling building equipment based on operational parameters predicted to achieve the future resource consumption or the future resource production.
17. A non-transitory computer-readable medium having instructions stored thereon that, when executed by one or more processors, cause the one or more processors to:
obtain a base design resource production of a first building asset and a base resource production data set comprising a base resource production of the first building asset at a plurality of operating points;
calculate a scaled resource production data set comprising a scaled resource production of a second building asset at the plurality of operating points by scaling the base resource production data set based on a new design resource production of the second building asset relative to the base design resource production of the first building asset;
generate a resource consumption data set comprising a resource consumption of the second building asset at the plurality of operating points based on the scaled resource production data set;
generate a model for the second building asset using the resource consumption data set and the scaled resource production data set; and
initiate an automated action based on the model for the second building asset.
18. The computer-readable medium of claim 17 , the instructions further causing the one or more processors to:
obtain a base coefficient of performance (COP) data set comprising a base COP of the first building asset at the plurality of operating points; and
calculate a new COP data set comprising a new COP of the second building asset at the plurality of operating points by adjusting the base COP data set.
19. The computer-readable medium of claim 17 , wherein the automated action comprises using the model for the second building asset to predict a future resource consumption of the second building asset as a function of a future resource production of the second building asset.
20. The computer-readable medium of claim 19 , wherein the automated action comprises controlling building equipment based on operational parameters predicted to achieve the future resource consumption or the future resource production.