IP Library Granted Patent US 12,523,976
Granted Patent B2
US 12,523,976 · App. 17/955,699 · Granted Jan 13, 2026

Systems and methods for combined outdoor air fraction and VAV unit control

Inventors: Anas W. I. Alanqar (Milwaukee, WI); Michael J. Wenzel (Grafton, WI); Jon Douglas (Mequon, WI); Fang Du (Milwaukee, WI)
Assignee: Tyco Fire & Security GmbH
G05B19/042F24F11/0001F24F2110/70F24F2140/40G05B2219/2614
View Patent ↗
Loading inventors, assignments & file history…
Monitor This Case
Get email alerts when status or documents change.
Order Certified Copies
Most orders are placed with the USPTO same day — all within 24 business hours.
Order via The Patent Place →
Pre-filled with this patent's details
Quick Facts
Patent No.
US 12,523,976
App. No.
17/955,699
Granted
Jan 13, 2026
Kind
B2
Abstract

An control method includes obtaining measurements of a carbon dioxide (CO2) level of a zone and a temperature of the zone. The method includes determining, based on the CO2 level of the zone and the temperature of the zone, a combination if (i) control decisions for an air handling unit (AHU) and (ii) control decisions for a damper of a variable air volume (VAV) unit to satisfy both a ventilation control objective and a temperature control objective. The control decisions for the AHU include adjustments to a fresh air intake fraction of the AHU between multiple values over time, and the control decisions for the VAV unit include adjustments to a position of a damper of the VAV unit over time. The method includes operating the AHU according to the control decisions for the AHU and operate the VAV unit according to the control decisions for the VAV unit.

Claims (50)

1 . A ventilation and temperature control system of a building comprising:

an air handling unit (AHU) configured to draw air from outside the building according to a fresh air intake fraction and recirculated air from a zone of the building;

a variable air volume (VAV) unit configured to supply air to the zone of the building using air provided by the AHU; and

processing circuitry configured to:

obtain measurements of at least one of a carbon dioxide (CO2) level or occupancy of the zone and a temperature of the zone;

determine for a future time horizon, based on the temperature of the zone and at least one of the CO2 level or the occupancy of the zone, a combination of (i) control decisions for the AHU comprising adjustments to the fresh air intake fraction between a plurality of values of the fresh air intake fraction for the future time horizon and (ii) control decisions for a damper of the VAV unit to satisfy both a ventilation control objective and a temperature control objective, the control decisions for the VAV unit comprising adjustments to a position of the damper of the VAV unit, wherein the control decisions for the damper of the VAV unit are determined using a predictive model of CO2 of the zone, the predictive model configured to predict the CO2 level of the zone as a function of the control decisions for the AHU and the control decisions for the VAV unit; and

operate the AHU according to the control decisions for the AHU and operate the VAV unit according to the control decisions for the VAV unit.

2 . The ventilation and temperature control system of claim 1 , wherein the ventilation and temperature control system serves a plurality of zones, wherein the processing circuitry is configured to determine the control decisions for the AHU and the control decisions for a plurality of dampers of the VAV units to maintain the CO2 levels of the plurality of zones below a CO2 threshold and to maintain the temperatures of the plurality of zones within a range of a desired temperature as the ventilation control objective and the temperature control objective.

3 . The ventilation and temperature control system of claim 1 , wherein the control decisions for the AHU comprise a schedule for transitioning the fresh air intake fraction of the AHU between a plurality of discrete values for the future time horizon.

4 . The ventilation and temperature control system of claim 1 , wherein the control decisions for the damper of the VAV unit are further determined by the processing circuitry based on the measurement of the CO2 level in the zone, and a threshold CO2 level in the zone such that the control decisions for the damper of the VAV unit maintain the CO2 level in the zone below the threshold CO2 level.

5 . The ventilation and temperature control system of claim 1 , wherein determining, based on the CO2 level of the zone and the temperature of the zone, control decisions for the AHU and control decisions for a damper of the VAV unit comprises:

determining a CO2 error based on the CO2 level of the zone and a threshold CO2 and a temperature error based on the temperature of the zone and a desired temperature;

performing feedback control using the CO2 error and the temperature error to determine a plurality of parameters including amplitude, bias, and frequency for a first sinusoid function indicative of positions of a damper of the AHU and a second sinusoid function indicative of positions of the damper of the VAV unit; and

generating control decisions for the AHU according to outputs of the first sinusoid function, and generating control decisions for the damper of the VAV unit according to outputs of the second sinusoid function, wherein outputs of the first sinusoid function include a position of the damper of the AHU and outputs of the second sinusoid function include a position of the damper of the VAV unit.

6 . The ventilation and temperature control system of claim 5 , wherein the second sinusoid function comprises a phase shift relative to the first sinusoid function.

7 . The ventilation and temperature control system of claim 1 , wherein the processing circuitry is further configured to:

store historical data for the CO2 level of the zone and the control decisions for the AHU and the damper of the VAV unit; and

adjust the predictive model of CO2 of the zone, based on the historical data for the CO2 level of the zone and the control decisions for the AHU and the damper of the VAV unit.

8 . A controller for a ventilation and temperature control system of a building, the controller comprising:

processing circuitry configured to:

obtain measurements of at least one of a carbon dioxide (CO2) level or occupancy of a zone and a temperature of the zone;

determine for a future time horizon, based on the temperature of the zone and at least one of the CO2 level or the occupancy of the zone, a combination of (i) control decisions for an air handling unit (AHU) comprising adjustments to a fresh air intake fraction of the AHU between a plurality of values of the fresh air intake fraction for the future time horizon and (ii) control decisions for a damper of a variable air volume (VAV) unit to satisfy both a ventilation control objective and a temperature control objective, the control decisions for the VAV unit comprising adjustments to a position of the damper of the VAV unit determined based on the adjustments to the fresh air intake fraction of the AHU for the future time horizon and a predictive model of CO2 of the zone, the predictive model configured to predict the CO2 level of the zone as a function of the control decisions for the AHU and the control decisions for the VAV unit; and

operate the AHU according to the control decisions for the AHU and operate the VAV unit according to the control decisions for the VAV unit;

wherein the AHU draws outdoor air and recirculated air according to the fresh air intake fraction and delivers air to the VAV unit through a duct.

9 . The controller of claim 8 , wherein the ventilation and temperature control system serves a plurality of zones, wherein the processing circuitry is configured to determine the control decisions for the AHU and the control decisions for a plurality of dampers of the VAV units to maintain the CO2 levels of the plurality of zones below a CO2 threshold and to maintain the temperatures of the plurality of zones within a range of a desired temperature as the ventilation control objective and the temperature control objective.

10 . The controller of claim 8 , wherein the control decisions for the AHU comprise a schedule for transitioning the fresh air intake fraction of the AHU between a plurality of discrete values for the future time horizon.

11 . The controller of claim 8 , wherein the control decisions for the damper of the VAV unit are further determined by the processing circuitry based on the measurement of the CO2 level in the zone, and a threshold CO2 level in the zone, such that the control decisions for the damper of the VAV unit maintain the CO2 level in the zone below the threshold CO2 level.

12 . The controller of claim 8 , wherein determining, based on the CO2 level of the zone and the temperature of the zone, control decisions for the AHU and control decisions for a damper of the VAV unit comprises:

determining a CO2 error based on the CO2 level of the zone and a threshold CO2 and a temperature error based on the temperature of the zone and a desired temperature;

performing feedback control using the CO2 error and the temperature error to determine a plurality of parameters including amplitude, bias, and frequency for a first sinusoid function indicative of positions of a damper of the AHU and a second sinusoid function indicative of positions of the damper of the VAV unit; and

generating control decisions for the AHU according to outputs of the first sinusoid function, and generating control decisions for the damper of the VAV unit according to outputs of the second sinusoid function, wherein outputs of the first sinusoid function include a position of the damper of the AHU and outputs of the second sinusoid function include a position of the damper of the VAV unit.

13 . The controller of claim 12 , wherein the second sinusoid function comprises a phase shift relative to the first sinusoid function.

14 . The controller of claim 8 , wherein the processing circuitry is further configured to:

store historical data for the CO2 level of the zone and the control decisions for the AHU and the damper of the VAV unit; and

adjust the predictive model of CO2 of the zone, based on the historical data for the CO2 level of the zone and the control decisions for the AHU and the damper of the VAV unit.

15 . A method for controlling a ventilation and temperature control system of a building, the method comprising:

determining for a future time horizon, in response to measurements of a temperature of a zone and at least one of a carbon dioxide (CO 2 ) level or occupancy of a zone a combination of (i) control decisions for an air handling unit (AHU) comprising adjustments to a fresh air intake fraction of the AHU between a plurality of values of the fresh air intake fraction for the future time horizon and (ii) control decisions for a damper of a variable air volume (VAV) unit to satisfy both a ventilation control objective and a temperature control objective, the control decisions for the VAV unit comprising adjustments to a position of the damper of the VAV unit for the future time horizon, wherein the control decisions for the damper of the VAV unit are determined using a predictive model of CO2 of the zone, the predictive model configured to predict the CO2 level of the zone as a function of the control decisions for the AHU and the control decisions for the VAV unit; and

operating the AHU according to the control decisions for the AHU and operate the VAV unit according to the control decisions for the VAV unit;

wherein the AHU draws outdoor air and recirculated air according to the fresh air intake fraction and delivers air to the VAV unit through a duct.

16 . The method of claim 15 , wherein the ventilation and temperature control system serves a plurality of zones, wherein method comprises determining the control decisions for the AHU and the control decisions for a plurality of dampers of the VAV units to maintain the CO2 levels of the plurality of zones below a CO2 threshold and to maintain the temperatures of the plurality of zones within a range of a desired temperature as the ventilation control objective and the temperature control objective.

17 . The method of claim 15 , wherein the control decisions for the AHU comprise a schedule for transitioning the fresh air intake fraction of the AHU between a plurality of discrete values for the future time horizon.

18 . The method of claim 17 , wherein the control decisions for the damper of the VAV unit are determined based on the schedule for transitioning the fresh air intake fraction of the AHU for the future time horizon, the measurement of the CO2 level in the zone, and a threshold CO2 level in the zone, such that the control decisions for the damper of the VAV unit maintain the CO2 level in the zone below the threshold CO2 level.

19 . The method of claim 15 , wherein determining, based on the CO2 level of the zone and the temperature of the zone, control decisions for the AHU and control decisions for a damper of the VAV unit comprises:

determining a CO2 error based on the CO2 level of the zone and a threshold CO2 and a temperature error based on the temperature of the zone and a desired temperature;

performing feedback control using the CO2 error and the temperature error to determine a plurality of parameters including amplitude, bias, and frequency for a first sinusoid function indicative of positions of a damper of the AHU and a second sinusoid function indicative of positions of the damper of the VAV unit; and

generating control decisions for the AHU according to outputs of the first sinusoid function, and generating control decisions for the damper of the VAV unit according to outputs of the second sinusoid function, wherein outputs of the first sinusoid function include a position of the damper of the AHU and outputs of the second sinusoid function include a position of the damper of the VAV unit;

wherein the second sinusoid function comprises a phase shift relative to the first sinusoid function.

20 . The method of claim 15 , further comprising:

storing historical data for the CO2 level of the zone and the control decisions for the AHU and the damper of the VAV unit; and

adjusting the predictive model of CO2 of the zone, based on the historical data for the CO2 level of the zone and the control decisions for the AHU and the damper of the VAV unit.

Assignments (2)
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Mar 18, 2024
From: JOHNSON CONTROLS TYCO IP HOLDINGS LLP
To: TYCO FIRE & SECURITY GMBH
Reel/Frame 066957/0796 →
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Aug 29, 2023
From: ALANQAR, ANAS W.I.; WENZEL, MICHAEL J.; DOUGLAS, JON; DU, FANG
To: JOHNSON CONTROLS TYCO IP HOLDINGS LLP
Reel/Frame 064740/0537 →
Continuity (1)
Related Publication 20240118670A1 · Apr 11, 2024
References Cited (92)
US 4570448A · Smith · 1986 [cited by examiner]
US 9447985B2 · Johnson · 2016 [cited by applicant]
US 10871756B2 · Johnson et al. · 2020 [cited by applicant]
US 10908578B2 · Johnson et al. · 2021 [cited by applicant]
US 10921768B2 · Johnson et al. · 2021 [cited by applicant]
US 11156978B2 · Johnson et al. · 2021 [cited by applicant]
US 20030055798A1 · Hittle et al. · 2003 [cited by applicant]
US 20120232702A1 · Vass · 2012 [cited by examiner]
US 20180017276A1 · Thomle · 2018 [cited by examiner]
US 20180231994A1 · Leeland · 2018 [cited by examiner]
US 20210215378A1 · Salsbury · 2021 [cited by examiner]
US 20220203287A1 · Wenger et al. · 2022 [cited by applicant]
US 20220203288A1 · Wenger et al. · 2022 [cited by applicant]
US 20220205962A1 · Vanderkoy · 2022 [cited by applicant]
US 20220207215A1 · Liu et al. · 2022 [cited by applicant]
US 20220221184A1 · Gupta et al. · 2022 [cited by applicant]
US 20220228756A1 · Gupta et al. · 2022 [cited by applicant]
US 20220254483A1 · Boisvert et al. · 2022 [cited by applicant]
US 20220277851A1 · Wellig · 2022 [cited by applicant]
US 20220282886A1 · Hriljac et al. · 2022 [cited by applicant]
US 20220293261A1 · Mcbrady et al. · 2022 [cited by applicant]
US 20220305438A1 · Wenger et al. · 2022 [cited by applicant]
US 20220305881A1 · Neu et al. · 2022 [cited by applicant]
CA 2957726A1 · 2016 [cited by applicant]
CA 3043996A1 · 2018 [cited by applicant]
EP 1156286A2 · 2001 [cited by applicant]
EP 3186687 · 2017 [cited by applicant]
EP 3497377 · 2019 [cited by applicant]
WO WO2012161804A1 · 2012 [cited by applicant]
WO WO2013130956A1 · 2013 [cited by applicant]
Afram et al., “Theory and Application of HVAC Control Systems—A review of Model Predictive Control (MPC),” Building and Environment, Feb. 2014, vol. 72 (pp. 343-355). [cited by applicant]
Ahn et al., “Optimal Control Development for Chilled Water Plants Using a Quadratic Representation,” Energy and Buildings, Apr. 2001, vol. 33, No. 4 (pp. 371-378). [cited by applicant]
Alvarado et al., “A Methodology to Monitor Airborne PM10 Dust Particles Using a Small Unmanned Aerial Vehicle,” Sensors, 2017, vol. 17 (25 pages). [cited by applicant]
Burer et al., “Non-convex Mixed-Integer Nonlinear Programming: A Survey,” Surveys in Operations Research and Management Science, Jul. 2012, vol. 17, No. 2 (pp. 97-106). [cited by applicant]
Cantoni, A., “Optimal Curve Fitting with Piecewise Linear Functions,” IEEE Transactions on Computers, Jan. 1971, vol. 20, No. (pp. 59-67). [cited by applicant]
Corbin et al., “A Model Predictive Control Optimization Environment for Real-Time Commercial Building Application,” Journal of Building Performance Simulation, 2013, (Published online: Jan. 11, 2012) vol. 6, No. 3 (pp. … [cited by applicant]
Drgona et al., “All you Need to Know about Model Predictive Control for Buildings,” Annual Reviews in Control, 2020, vol. 50 (pp. 190-232). [cited by applicant]
EPO Notice of Opposition to a European Patent issued in Appl. Ser. No. EP 16165681.4 dated May 2, 2023 (48 pages). [cited by applicant]
EPO Notice of Opposition to a European Patent issued in Appl. Ser. No. EP 16165681.4 dated May 2, 2023 (51 pages). [cited by applicant]
EPO Notice of Opposition to a European Patent with Consolidated List issued in EP Appl. Ser. No. 16165681.4 dated May 4, 2023 (4 pages). [cited by applicant]
EPO Office Action on EP Appl. Ser. No. 16165681.4 dated Apr. 6, 2021 (7 pages). [cited by applicant]
EPO Search Opinion EP Appl. Ser. No. EP 22177772.5 dated Sep. 26, 2022 (6 pages). [cited by applicant]
Extended European Search Report on EP Appl. Ser. No. 16165681.4 dated Oct. 20, 2016 (5 pages). [cited by applicant]
Extended European Search Report on EP Appl. Ser. No. 22177772.5 dated Sep. 26, 2022 (11 pages). [cited by applicant]
Hackner, J.R., “HVAC system dynamics and energy use in existing buildings,” Doctoral Dissertation, University of Madison, Wisconsin, 1984 (174 pages). [cited by applicant]
Haves et al., “Model Predictive Control of HVAC Systems: Implementation and Testing at the University of California, Merced,” Technical Report, U.S. Department of Energy Office of Scientific and Technical Information, J… [cited by applicant]
Huang et al., “A New Model Predictive Control Scheme for Energy and Cost Savings in Commercial Buildings: An Airport Terminal Building Case Study,” Building and Environment, Jul. 2015, vol. 89 (pp. 203-216). [cited by applicant]
Kelman et al., “Analysis of Local Optima in Predictive Control for Energy Efficient Buildings,” Journal of Building Performance Simulation, Apr. 16, 2012, vol. 6, No. 3 (pp. 236-255). [cited by applicant]
Koehler et al., “Building Temperature Distributed Control via Explicit MPC and ‘Trim and Respond’ Methods,” European Control Conference (ECC), Jul. 17-19, 2013, Zurich, Switzerland (pp. 4334-4339). [cited by applicant]
Kwadzogah et al., “Model Predictive Control for HVAC Systems—A Review, 2013 IEEE International Conference on Automation Science and Engineering, Model Predictive Control for HVAC Systems—A Review,” 2013 IEEE Internation… [cited by applicant]
Mckenna et al., “A TRNSYS model of a building HVAC system with GSHP and PCM thermal energy storage—component modelling and validation,” Proceedings of BS2013: 13th Conference of International Building Performance Simula… [cited by applicant]
Mossolly et al., “Optimal Control Strategy for a Multizone Air Conditioning System Using a Genetic Algorithm,” Energy, Jan. 2009, vol. 34, No. 1 (pp. 58-66). [cited by applicant]
Nassif et al., “Optimization of HVAC Control System Strategy Using Two-Objective genetic Algorithm,” International Journal of Hva C&R Research, vol. 11, No. 3 (pp. 459-486). [cited by applicant]
Sourbon et al., “Dynamic Thermal Behaviour of Buildings with Concrete Core Activation,” Dissertation, Arenberg Doctoral School of Science, Engineering & Technology, Katholieke Universiteit Leuven—Faculty of Engineering … [cited by applicant]
Stluka et al., “Energy Management for Buildings and Microgrids,” 2011 50th IEEE Conference on Decision and Control and European Control Conference (CDCECC) Orlando, FL, USA, Dec. 12-15, 2011 (pp. 5150-5157). [cited by applicant]
Strurznegger, D., “Model Predictive Building Climate Control, Steps Towards Practice,” Doctoral Thesis, Automatic Control Laboratory, Zurich, Switzerland, 2014 (176 pages). [cited by applicant]
Sun et al., Optimal Control of Building HVAC&R Systems Using Complete Simulation-Based Sequential Quadratic Programming (CSB-SQP), Building and Environment, May 2005, vol. 40, No. 5 (pp. 657-669). [cited by applicant]
Third Party Observation Report on EP Appl. Ser. No. 16165681.4 dated Jan. 15, 2020 (8 pages). [cited by applicant]
Third Party Observation Report on EP Appl. Ser. No. 16165681.4 dated Oct. 5, 2018 (6 pages). [cited by applicant]
Verhelst et al., “Study of the Optimal Control Problem Formulation for Modulating Air-to-Water Heat Pumps Connected to a Residential Floor Heating System,” Energy and Buildings, Feb. 2012, vol. 45 (pp. 43-53). [cited by applicant]
Verhelst, C., “Model Predictive Control of Ground Coupled Heat Pump Systems in Office Buildinqs,” Dissertation, Arenberg Doctoral School of Science, Engineering & Technology, Katholieke Universiteit Leuven—Faculty of En… [cited by applicant]
Wang et al., “Model-Based Optimal Control of VAV Air-Conditioning System Using Genetic Algorithm,” Building and Environment, Aug. 2000, vol. 35, No. 6 (pp. 471-487). [cited by applicant]
Wang et al., “Supervisory and Optimal Control of Building HVAC Systems: A Review,” HVAC&R Research, Jan. 2008, vol. 14, No. 1 (pp. 3-32). [cited by applicant]
Xi et al., “Support Vector Regression Model Predictive Control on a HVAC Plant,” Control Engineering Practice, Aug. 2007, vol. 15, No. 8 (pp. 897-908). [cited by applicant]
Yao et al., “Global Optimization of a Central Air-Conditioning System Using Decomposition—Coordination Method,” Energy and Buildings, May 2010, vol. 42, No. 5 (pp. 570-583). [cited by applicant]
CoolingLogic, “CoolingLogic: Up early, saving billions.” URL: http://coolinglogic.com/documents/MarketingFlyer_FINAL_HiRes8.5x11.pdf, retrieved from internet Oct. 27, 2022 (1 page). [cited by applicant]
Incomplete File of Communication with Various Companies, etc. in 2016-2021, URL: http://coolinglogic.com/documents/22072101_Letters_and_Signature_Receipts.pdf, published, as one document, on: Jul. 21, 2022 (211 pages). [cited by applicant]
Johnson Heating and Cooling L.L.C., “Divine Grace Building Automation (Images),” URL: http://cooljohnson.com/Building-Automation-Systems-Michigan/Oakland-County-Michigan/Building-Automation-Images.html, retrieved from i… [cited by applicant]
Johnson Heating and Cooling L.L.C., “Divine Grace Building Automation,” URL: http://cooljohnson.com/Building-Automation-Systems-Michigan/Oakland-County-Michigan/Building-Automation-Divine-Grace.html, retrieved from inte… [cited by applicant]
Johnson Heating and Cooling L.L.C., “Excel Rehabilitation Building Automation,” URL: http://cooljohnson.com/Building-Automation-Systems-Michigan/Waterford-Michigan/Building-Automation-System--Excel.html, retrieved from … [cited by applicant]
Johnson Heating and Cooling L.L.C., “Intertek Testing Services Building Automation,” URL: http://cooljohnson.com/Building-Automation-Systems-Michigan/Plymouth-Michigan/Building-Automation-System-Plymouth-Michigan.html, … [cited by applicant]
Johnson Heating and Cooling L.L.C., “JLA Medical Building Building Automation,” URL: http://cooljohnson.com/Building-Automation-Systems-Michigan/Waterford-Michigan/Building-Automation-System--JLA.html, retrieved from in… [cited by applicant]
Johnson Heating and Cooling L.L.C., “Mosaic Christian Building Automation (Images),” URL: http://cooljohnson.com/Building-Automation-Systems-Michigan/Detroit/Building-Automation-Images.html, retrieved from internet Oct.… [cited by applicant]
Johnson Heating and Cooling L.L.C., “Mosaic Christian Building Automation,” URL: http://cooljohnson.com/Building-Automation-Systems-Michigan/Detroit/Mosaic-Christian.html, retrieved from internet Oct. 27, 2022 (5 pages). [cited by applicant]
Johnson Heating and Cooling L.L.C., “Shepherd's Gate Lutheran Church Building Automation,” URL: http://cooljohnson.com/Building-Automation-Systems-Michigan/Shelby-Township-Michigan/Building-Automation-Systems-SG.html, r… [cited by applicant]
Johnson Heating and Cooling L.L.C., “St. Clair County Residence Building Automation,” URL: http://cooljohnson.com/Building-Automation-Systems-Michigan/St-Clair-Michigan/Building-Automation-System-St-Clair-Michigan.html,… [cited by applicant]
Johnson Heating and Cooling L.L.C., “St. Joseph Mercy Oakland U. C. Building Automation,” URL: http://cooljohnson.com/Building-Automation-Systems-Michigan/Waterford-Michigan/Building-Automation-Systems-SJMO.html, retrie… [cited by applicant]
Johnson Heating and Cooling L.L.C., “Waterford Internal Medicine Building Automation,” URL: http://cooljohnson.com/Building-Automation-Systems-Michigan/Waterford-Michigan/Building-Automation-Systems-WIM.html, retrieved … [cited by applicant]
Johnson Heating and Cooling, LLC, “Building Automation Clawson Michigan 2.0,” URL: http://cooljohnson.com/Building-Automation-Systems-Michigan/Clawson-Michigan/Building-Automation-Clawson-Manor-2.html, retrieved from th… [cited by applicant]
Johnson Heating and Cooling, LLC, “Building Automation Images Clawson Michigan 2.0,” URL: http://cooljohnson.com/Building-Automation-Systems-Michigan/Clawson-Michigan/Building-Automation-Clawson-Manor-2-Images.html, ret… [cited by applicant]
Johnson Heating and Cooling, LLC, “Building Automation System Clawson Michigan Clawson Manor,” URL: http://cooljohnson.com/Building-Automation-Systems-Michigan/Clawson-Michigan/Building-Automation-System-Clawson-Manor.h… [cited by applicant]
Johnson Heating and Cooling, LLC, “Building Automation System in Michigan Images,” URL: http://cooljohnson.com/Building-Automation-Systems-Michigan/Macomb-County-Michigan/Building-Automation-Images.html; retrieved from … [cited by applicant]
Johnson Heating and Cooling, LLC, “Building Automation System in Michigan,” URL: http://cooljohnson.com/Building-Automation-Systems-Michigan/Macomb-County-Michigan/Building-Automation-Confidential-Customer.html; retriev… [cited by applicant]
Johnson Solid State LLC, “Building Automation Equipment,” URL: http://cooljohnson.com/Video/Building_Automation/Confidential_Customer_BLD_2/Building_Automation_Equipment.mp4, retrieved from internet Oct. 27, 2022 (35 pa… [cited by applicant]
Johnson Solid State LLC, “Building Automation GUI,” URL: http://cooljohnson.com/Video/Building_Automation/Confidential_Customer_BLD_2/Building_Automation_GUI.mp4, retrieved from internet Oct. 27, 2022 (24 pages). [cited by applicant]
Johnson Solid State LLC, “Cooling Logic Overview,” URL: http://coolinglogic.com/documents/CoolingLogic_Overview_High_Quality.mp4, retrieved from internet Oct. 27, 2022 (16 pages). [cited by applicant]
Johnson Solid State LLC, “So what is CoolingLogic™?” URL: http://coolinglogic.com/Coolinglogic-How-it-Works.html, retrieved from the internet Oct. 27, 2022 (3 pages). [cited by applicant]
Johnson, David, “A Method to Increase HVAC System Efficiency And Decrease Energy Consumption,” White Paper: Johnson Solid State, LLC, URL: http://coolinglogic.com/documents/16102106_White_Paper_High_Resolution_Protected… [cited by applicant]
Johnson, David, “CoolingLogic™: Mosaic Christian Church A Case Study,” Report: Johnson Solid State, LLC, URL: http://coolinglogic.com/documents/19020301_Mosaic_Christian_Coolinglogic_Case_Study.pdf, Feb. 2, 2019 (140 pa… [cited by applicant]
Johnson, David, “Excel Rehabilitation Building Automation: Building Automation System User Manual ,” URL: http://cooljohnson.com/Building-Automation-Systems-Michigan/Waterford-Michigan/Building-Automation-System-Excel-M… [cited by applicant]
Johnson, David, “Temperature Control System and Methods for Operating Same,” Pre-Publication printout of U.S. Appl. No. 15/231,943, filed Aug. 9, 2016, URL: http://coolinglogic.com/documents/16080901_CIP_As_Filed.pdf (9… [cited by applicant]
Johnson, David., “CoolingLogic™: Changing the Way You Cool,” Report: Johnson Solid State, LLC, URL: http://coolinglogic.com/documents/18111303_Changing_the_way_you_Cool.pdf, Nov. 7, 2018 (12 pages). [cited by applicant]