US 12,435,927 B2
Heat exchanger system with machine-learning based optimization
Yohann Lilian Rousselet, Baltimore, MD (US); and Ellie M. Litwack, Columbia, MD (US)
Assigned to Baltimore Aircoil Company, Inc., Jessup, MD (US)
Filed by Baltimore Aircoil Company, Inc., Jessup, MD (US)
Filed on Jun. 21, 2024, as Appl. No. 18/750,365.
Application 18/750,365 is a continuation of application No. 18/221,499, filed on Jul. 13, 2023, granted, now 12,044,478.
Application 18/221,499 is a continuation of application No. 17/118,818, filed on Dec. 11, 2020, granted, now 11,732,967, issued on Aug. 22, 2023.
Claims priority of provisional application 62/946,778, filed on Dec. 11, 2019.
Prior Publication US 2024/0401884 A1, Dec. 5, 2024
This patent is subject to a terminal disclaimer.
Int. Cl. G05B 13/02 (2006.01); F24F 11/70 (2018.01); F28C 1/14 (2006.01); F28D 5/00 (2006.01); F28F 27/00 (2006.01); G05B 13/04 (2006.01); F24F 140/60 (2018.01)
CPC F28C 1/14 (2013.01) [F24F 11/70 (2018.01); F28D 5/00 (2013.01); F28F 27/003 (2013.01); G05B 13/0265 (2013.01); G05B 13/042 (2013.01); F24F 2140/60 (2018.01); G05B 2219/2639 (2013.01); G05B 2219/31264 (2013.01)] 42 Claims
OG exemplary drawing
 
1. A method of operating a cooling system comprising a plurality of cooling system apparatuses including a heat generating apparatus configured to transfer heat to a process fluid and a heat rejection apparatus configured to remove heat from the process fluid, the method comprising:
receiving an operating variable of the cooling system detected via a sensor of the cooling system;
providing the operating variable and a plurality of potential operating parameters to a machine learning model representative of the cooling system to estimate at least one of energy consumption, water usage, and chemical usage for each of the potential operating parameters;
wherein the potential operating parameters include a potential operating mode parameter indicative of whether at least one of the cooling system apparatuses is on or off;
determining, based at least in part on the estimated at least one of energy consumption, water usage, and chemical usage for the potential operating parameters, an optimal operating parameter of the cooling system to satisfy a target optimization criterion, wherein the optimal operating parameter includes an optimal operating mode parameter indicative of whether the at least one of the cooling system apparatuses is on or off; and
effecting utilization of the optimal operating parameter by the cooling system including configuring the at least one of the cooling system apparatuses to be on or off according to the optimal operating mode parameter.