IP Library › Granted Patent US 10,935,944
Granted Patent B2
US 10,935,944 · App. 16/506,824 · Granted Mar 2, 2021

Variable air volume modeling for an HVAC system

Inventors: Osman Ahmed (Hawthorn Woods, IL); Robert J. Cowan (Lake Forest Park, WA); Robertito Raymundo (Seattle, WA); James John Walker (Issaquah, WA)
Assignee: Siemens Industry, Inc.
G05B15/02F24F11/30F24F11/32F24F11/46F24F11/54F24F11/56F24F11/62F24F11/72F24F11/77G06N20/00F24F11/63F24F2110/00F24F2140/60Y02B30/70
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Quick Facts
Patent No.
US 10,935,944
App. No.
16/506,824
Granted
Mar 2, 2021
Kind
B2
Abstract

Methods for modeling heating, ventilation, and air conditioning (HVAC) are described. A heuristic model of air handling in a HVAC system is optimized by a server based on measurements from outdoor sensors, from building space sensors, plant sensors, and sensors for the air handling. Settings of the air handling in the HVAC system are determined by the server from the model as optimized and transmitted to the HVAC system. The heuristic model may be optimized by indicating a mismatch of a fan with a space based on a diversity from a fan flow set point and a fan designed maximum flow; identifying a rogue zone or a critical zone of air handling units based on a number of actuator re-positioning, box pressures, and box flow; and/or determining a coupling of a coupled zone operation with temperature, flow, or temperature and flow.

Claims (9)

1. A method for modeling heating, ventilation, and air conditioning (HVAC), the method comprising:

optimizing, by a server, a heuristic model of air handling in a HVAC system based on measurements from outdoor sensors, building space sensors, plant sensors, and sensors for the air handling;

determining, by the server, settings of the air handling in the HVAC system from the optimized heuristic model, wherein determining the settings of the air handling in the HVAC system includes:

determining a diversity from a fan flow set point and a fan designed maximum flow; and

indicating a mismatch of a fan with a space based on the diversity; and

transmitting the settings to the HVAC system to control the HVAC system.

2. The method of claim 1 wherein the heuristic model comprises a physics-based model, and wherein optimizing comprises iteratively solving with neighbor searching or local minimization of the physics-based model.

3. The method of claim 1 wherein the heuristic model comprises a machine-learnt classifier, and wherein optimizing comprises classifying with the heuristic model based on the measurements.

4. The method of claim 1 further comprising calculating, by the server, an analytic showing a problem or opportunity for the air handling of the HVAC system, a plant, or a controlled zone.

Assignments (1)
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Jul 9, 2019
From: AHMED, OSMAN; COWAN, ROBERT J.; RAYMUNDO, ROBERTITO; WALKER, JAMES JOHN
To: SIEMENS INDUSTRY INC.
Reel/Frame 049704/0775 →
Continuity (3)
Division 14871651 · Sep 30, 2015
Provisional Application 62120218 · Feb 24, 2015
Related Publication 20200004214A1 · Jan 2, 2020