System and method for optimizing global set points in a building environmental management system

• US 20050192680A1
• Filed: 12/01/2004
• Published: 09/01/2005
• Est. Priority Date: 02/27/2004
• Status: Abandoned Application

• Current Assignee: Siemens Industry Incorporated (Siemens AG)
• Original Assignee: Siemens Industry Incorporated (Siemens AG)
• Inventors: Cascia, Mark, Ahmed, Osman
• Application Number:
  US11/001,397
• Publication Number:
  US 20050192680A1
• Time in Patent Office: Days
• US Class Current: 700/29
• CPC Class Codes: G05B 13/027 using neural networks only

Abstract

A system generates optimal global set points for an environmental management system. The system comprises a system model for modeling components of a thermal plant, an objective function for modeling a parameter of the thermal plant, and an optimization engine for optimizing the parameter modeled by the objective function. The system model is coupled to an input data collector for receiving building data and weather data corresponding to a particular site. The system model includes models for thermal plant system components that may be implemented using classical models or artificial intelligence models. Classical models are those models that are implemented using linear programming, unconstrained non-linear programming, or constrained non-linear programming methodologies. The artificial intelligence models are those models that may be implemented using a fuzzy expert control system with crisp and fuzzy rules, genetic algorithms for optimization, or neural networks.

Claims

1. ) A system for optimizing global set points for a building environmental management system comprising:

a system model for modeling components of a thermal plant;

an objective function for modeling a parameter of the thermal plant; and

an optimization engine for optimizing the parameter modeled by the objective function.

2. ) The system of claim 1 further comprising:

an input data collector for receiving building data and weather data, the input data collector being coupled to the system model.

3. ) The system of claim 1, the system model including:

a chilled water plant model.

4. ) The system of claim 1, the system model including:

a hot water plant model.

5. ) The system of claim 1 wherein the system model implements an unconstrained non-linear program to model the thermal plant.

6. ) The system of claim 1 wherein the system model being a neural network to model the thermal plant;

the objective function being a cost function for operating the thermal plant; and

the optimization engine is a genetic algorithm for generating optimized set points for minimizing the operation of the thermal plant.

7. ) The system of claim 1 wherein the system model being a fuzzy expert system to model the thermal plant;

the objective function being a cost function for operating the thermal plant; and

the optimization engine is a genetic algorithm for generating optimized set points for minimizing the operation of the thermal plant.

8. ) The system of claim 1 wherein the optimization engine generates a condenser water supply temperature, an output water supply temperature, and a coil discharge air temperature.

9. ) The system of claim 1 further comprising:

a transmitter for transmitting the global set points to a remote building environmental management system.

10. ) The system of claim 2, the input data collector further comprising:

an input for water supply and return temperatures;

an input for condenser water supply and return temperatures;

an input for thermal plant load;

an input for water flow;

an input for water thermal treatment power;

an input for water pump power; and

an input for air handler fan power.

11. ) The system of claim 10, the system model further comprising:

a plurality of component models, the component models generating characterization factors for the component models.

12. ) The system of claim 11 further comprising:

a regression analyzer for generating functional relationships between the generated-characterization factors and a building load; and

the optimization engine receiving the functional relationships for generating the optimal global set points.

13. ) A method for optimizing global set points for a building environmental management system comprising:

modeling components of a thermal plant;

modeling a parameter of the thermal plant; and

optimizing the parameter modeled by the objective function.

14. ) The method of claim 13 further comprising:

receiving building data and weather data; and

using the collected data for modeling the thermal plant components.

15. ) The method of claim 13, the thermal plant modeling including:

modeling a chilled water plant.

16. ) The method of claim 13, the thermal plant modeling including:

modeling a hot water plant model.

17. ) The method of claim 13, the thermal plant modeling including:

implementing an unconstrained non-linear program to model the thermal plant.

18. ) The method of claim 13, the thermal plant modeling including:

training a neural network to model the thermal plant;

selecting a cost function for the thermal plant parameter; and

generating with a genetic algorithm the optimized set points for minimizing the operation of the thermal plant.

19. ) The method of claim 13, the thermal plant modeling including:

model the thermal plant with a fuzzy logic system;

selecting a cost function for thermal plant parameter; and

generating with a genetic algorithm the optimized set points for minimizing the operation of the thermal plant.

20. ) The method of claim 13, the parameter optimization including:

generating a optimized set points for a condenser water supply temperature, an output water supply temperature, and a coil discharge air temperature.

21. ) The method of claim 13 further comprising:

transmitting the global set points to a remote building environmental management system.

22. ) The method of claim 13 further comprising:

inputting water supply and return temperatures;

inputting condenser water supply and return temperatures;

inputting thermal plant load;

inputting water flow;

inputting water thermal treatment power;

inputting water pump power; and

inputting air handler fan power.

23. ) The method of claim 22 further comprising:

generating characterization factors for the thermal plant components.

24. ) The method of claim 23 further comprising:

generating functional relationships between the generated characterization factors and a building load; and

generating the optimal global set points with reference to the generated characterization factors.