Inductive intelligent water heater

Abstract

A rust-proof, grid-friendly system for heating a flow of water including a heating circuit fluidly coupled to a water source fluidly coupled to a plurality of water fixtures. The heating circuit includes an inlet, an outlet, and a water containment unit made up of a plurality of tanks. The water may be heated by inducing magnetic eddy currents in a ferromagnetic material to heat the flow of water. The system further includes a plurality of sensors and a Smart Appliance communicatively coupled to the heating circuit and the plurality of sensors. The Smart Appliance may include an artificial intelligence (AI) model configured to manipulate an operation of the heating circuit. The Smart Application may be coupled to a cloud computing system having its own AI model to further manipulate an operation of the heating circuit.

What is claimed is: 
     
         1 . A system ( 100 ) for heating water comprising:
 a. a heating and containment circuit ( 200 ) fluidly coupled to a plurality of water fixtures ( 600 ), comprising:
 i. an inlet ( 202 ) configured to accept the water; 
 ii. an outlet ( 204 ) configured to direct the water to an external source; 
 iii. a plurality of tanks ( 220 ), wherein a first tank of the plurality of tanks ( 220 ) is fluidly coupled to the inlet ( 202 ), wherein at least one tank of the plurality of tanks ( 220 ) is fluidly coupled to the outlet ( 204 ), wherein the plurality of tanks ( 220 ) are fluidly coupled to each other, wherein each tank of the plurality of tanks ( 220 ) is configured to store the water; 
 iv. a plurality of planar heating surfaces, each planar heating surface ( 215 ) fluidly coupled to a bottom of each tank of the plurality of tanks ( 220 ) such that each planar heating surface ( 215 ) is fully submerged within a tank of the plurality of tanks ( 220 ), wherein each planar heating surface ( 215 ) comprises a ferromagnetic material, wherein the plurality of planar heating surfaces is configured to heat the water stored by the plurality of tanks ( 220 ); 
 v. a plurality of laminar injection mechanisms ( 120 ), wherein at least one laminar injection mechanism is fluidly coupled to the inlet ( 202 ) and the bottom of a tank of the plurality of tanks ( 220 ), configured to inject a laminar stream of water from the inlet ( 202 ) into the tank, wherein at least one laminar injection mechanism is fluidly coupled between each tank of the plurality of tanks, configured to inject a laminar stream of water from one tank to another; 
 vi. a plurality of inductors, each inductor ( 210 ) operatively coupled to at least two planar heating surfaces of the plurality of planar heating surfaces such that each inductor ( 210 ) has at least one planar heating surface ( 215 ) coupled to a top surface and at least one planar heating surface ( 215 ) coupled to a bottom surface, wherein each inductor ( 210 ) is fully submerged in a tank of the plurality of tanks ( 220 ), wherein actuating each inductor ( 210 ) induces magnetic eddy currents in the ferromagnetic material of the planar heating surface ( 215 ) to heat the water and reduce a concentration of calcite in the water; 
 vii. a plurality of electric high-frequency generators, each electric high-frequency generator ( 430 ) operatively coupled to an inductor ( 210 ) of the plurality of inductors, wherein each electric high-frequency generator ( 430 ) is configured to direct power to each inductor ( 210 ) while maintaining a resonance frequency such that the power directed to the inductor ( 210 ) is maximized, wherein each electric high-frequency generator ( 430 ) comprises a tuning circuit configured to identify the resonance frequency of the inductor ( 210 ); and 
 viii. a descaling device ( 110 ) fluidly coupled to and integrated into the inlet ( 202 ) external to the plurality of tanks ( 220 ), configured to further reduce the concentration of calcite in the water; 
   b. a plurality of sensors ( 300 ) comprising pressure sensors, temperature sensors, flow rate sensors, or a combination thereof, wherein at least one pressure sensor, at least one temperature sensor, and at least one flow rate sensor of the plurality of sensors ( 300 ) is integrated into the inlet ( 202 ), wherein at least one pressure sensor, at least one temperature sensor, and at least one flow rate sensor of the plurality of sensors ( 300 ) is integrated into the outlet ( 204 );   c. a cloud computing system communicatively coupled to the plurality of sensors ( 300 ), comprising a predictive artificial intelligence (AI) model, configured to accept data from the plurality of sensors ( 300 ) as input and generate a prediction of potential failure of the system ( 100 ) and a prediction of future hot water usage and cost as output such that a wireless device is alerted of the prediction of potential failure of the system ( 100 ) and the prediction of future hot water usage and cost, wherein the prediction of future hot water usage and cost comprises a prediction of water usage down to a time of day for every day of a year; and   d. a Smart Appliance ( 400 ) communicatively coupled to the cloud computing system, the heating and containment circuit ( 200 ), and the plurality of sensors ( 300 ), comprising:
 i. a processor capable of executing computer-readable instructions; and 
 ii. a memory component operatively coupled to the processor, the memory component comprising:
 A. a leak detection AI model configured to accept data from the plurality of sensors ( 300 ) as input and identifying a detected leak, a detected blockage, excessive water usage, or a combination thereof within, downstream, or upstream of the heating and containment circuit ( 200 ); 
 B. a User Settings Module comprising computer-readable instructions for:
 I. adjusting based on user input, a temperature for the water stored in the plurality of tanks ( 220 ); 
 II. adjusting based on user input, an automatic inlet shutoff setting for the heating and containment circuit ( 200 ); 
 III. adjusting based on user input, an automatic outlet shutoff setting for the heating and containment circuit ( 200 ); 
 IV. adjusting based on user input, a temporary reduction of water, power, or a combination thereof directed to the heating and containment circuit ( 200 ); 
 V. adjusting based on user input, a scalding safety governor configured to detect when the heating and containment circuit ( 200 ) is producing water at a temperature above a threshold set by a user; and 
 VI. setting based on user input, a maximum number and a maximum duration of alerts triggered by the Smart Appliance ( 400 ); 
 
 C. a Flow Control Module comprising computer-readable instructions for:
 I. automatically activating the plurality of electric high-frequency generators upon activation of one or more water fixtures; 
 II. temporarily reducing, in response to a request for the temporary reduction of water in the User Settings Module, a flow of water through the heating and containment circuit ( 200 ); 
 III. automatically activating or deactivating the plurality of electric high-frequency generators based on the prediction of future hot water usage and cost from the predictive AI model; and 
 IV. automatically reducing, in response to the leak detection AI model identifying a detected leak, the flow of water through the heating and containment circuit ( 200 ); 
 
 D. a Utility Interface Module comprising computer-readable instructions for:
 I. connecting the system ( 100 ) to a utility supplier; 
 II. requesting a temporary reduction of operation of the heating and containment circuit ( 200 ) to accommodate reductions requested by the utility supplier; and 
 III. alerting the user in response to temporary reduction of operation requested by the utility supplier; 
 
 E. a Safety Monitor and Control Module comprising computer-readable instructions for:
 I. closing the inlet ( 202 ), the outlet ( 204 ), or a combination thereof in response to the detected leak, the detected blockage, the excessive water usage, or a combination thereof; 
 II. reducing power to the electric high-frequency generator ( 430 ) if the safety scalding governor detects that the heating and containment circuit ( 200 ) is producing water at a temperature above the threshold, if the inlet ( 202 ), outlet ( 204 ), or both are closed, if the utility supplier requests the temporary reduction of operation, or a combination thereof; 
 III. detecting an irregularity in the temperature of the water, an irregularity in power delivered to the plurality of electric high-frequency generators, or a combination thereof indicative of a fault in the plurality of inductors, the plurality of planar heating surfaces, the plurality of electric high-frequency generators, or the combination thereof; 
 IV. detecting, based on the data from the plurality of sensors ( 300 ), the predictive AI model, the leak detection AI model, or a combination thereof, one or more current or predictive faults or maintenance needs; 
 V. alerting the user of the detected leak, the detected blockage, excessive hot water usage, or the combination thereof; 
 VI. alerting the user of the temporary reduction of water based on the user input requested in the User Settings Module; and 
 VII. alerting the user of the one or more current or predictive faults or maintenance needs; 
 
 F. a Hot Water Reporting Module comprising computer-readable instructions for:
 I. reporting a cost and trend of power used by the heating and containment circuit ( 200 ); 
 II. reporting a cost and trend of hot water consumption of the heating and containment circuit ( 200 ); and 
 III. forecasting a future cost of water and power used by the heating and containment circuit ( 200 ) based on the prediction of future hot water usage and cost from the predictive AI model; 
 
 G. a Communication Module comprising computer-readable instructions for managing wireless interfaces between the system ( 100 ) and one or more external devices; 
 H. an Intelligent Power Supply Module comprising computer-readable instructions for:
 I. receiving electric power from a power source; 
 II. cleaning, conditioning, and surge-protecting electric power to the Smart Appliance ( 400 ); and 
 III. regulating and distributing power to each electric high-frequency generator ( 430 ) of the plurality of electric high-frequency generators; and 
 
 I. a Maintenance Monitor Module comprising computer-readable instructions for:
 I. alerting the user of the irregularity in the temperature of the water, an irregularity in the power delivered to the plurality of electric high-frequency generators, or the combination thereof detected by the Safety Monitor and Control Module; and 
 II. running diagnostics on the heating and containment circuit ( 200 ) and one or more modules of the Smart Appliance ( 400 ) at a fixed interval. 
 
 
   
     
     
         2 . The system ( 100 ) of  claim 1 , wherein the plurality of tanks ( 220 ) comprises one or more non-steel composite material such that each tank comprises a thermal conductivity (k) value less than or equal to 8.5 W/m 2 /° K. 
     
     
         3 . The system ( 100 ) of  claim 1 , wherein each planar heating surface ( 215 ) comprises a ferritic non-corrosive material. 
     
     
         4 . The system ( 100 ) of  claim 3 , wherein the ferritic non-corrosive material comprises a plurality of stainless steel sheets or any ferritic corrosive material coated, clad, or a combination thereof in a material configured to be immersible, heat-resistance, and drinking-water-safe. 
     
     
         5 . The system ( 100 ) of  claim 1 , wherein each planar heating surface ( 215 ) is coupled to an inductor ( 210 ), wherein each inductor ( 210 ) comprises a wire coil having a plurality of turns, wherein the wire coil is bound in high-temperature plastic, epoxy, enamel, or a combination thereof. 
     
     
         6 . The system ( 100 ) of  claim 1 , wherein the cloud computing system is further configured to generate a profile of hourly and daily hot water usage specific to the system ( 100 ) and store the profile such that the profile is associated with the Smart Appliance ( 400 ). 
     
     
         7 . The system ( 100 ) of  claim 6 , wherein the cloud computing system is further configured to produce a new prediction of future hot water usage and cost from the predictive AI model and update the profile based on the new prediction of future hot water usage and cost. 
     
     
         8 . The system ( 100 ) of  claim 1 , wherein the cloud computing system is further configured to transmit the data from the plurality of sensors ( 300 ) to the utility supplier. 
     
     
         9 . The system ( 100 ) of  claim 1 , wherein the one or more external devices comprise a mobile device, wherein the User Settings Module is configured to accept the user input from the mobile device, wherein the cloud computing system is configured to transmit alerts to the mobile device. 
     
     
         10 . A system ( 100 ) for heating water comprising:
 a. a heating and containment circuit ( 200 ) fluidly coupled to a plurality of water fixtures ( 600 ), comprising an inlet ( 202 ) configured to accept water from the plurality of water fixtures ( 600 ) into the heating and containment circuit ( 200 ), a heating element ( 215 ) fluidly coupled to the inlet ( 202 ), configured to heat the water, and an outlet ( 204 ) fluidly coupled to the heating element ( 215 ), configured to direct the water to an external source;   b. a plurality of sensors ( 300 ) comprising pressure sensors, temperature sensors, flow rate sensors, or a combination thereof, wherein at least one pressure sensor, at least one temperature sensor, and at least one flow rate sensor of the plurality of sensors ( 300 ) is integrated into the inlet ( 202 ), wherein at least one pressure sensor, at least one temperature sensor, and at least one flow rate sensor of the plurality of sensors ( 300 ) is integrated into the outlet ( 204 );   c. a cloud computing system communicatively coupled to the plurality of sensors ( 300 ), comprising a predictive artificial intelligence (AI) model, configured to accept data from the plurality of sensors ( 300 ) as input and generate a prediction of potential failure of the system ( 100 ) and a prediction of future hot water usage and cost as output such that a wireless device is alerted of the prediction of potential failure of the system ( 100 ) and the prediction of future hot water usage and cost, wherein the prediction of future hot water usage and cost comprises a prediction of water usage down to a time of day for every day of a year; and   d. a Smart Appliance ( 400 ) communicatively coupled to the cloud computing system, the heating and containment circuit ( 200 ), and the plurality of sensors ( 300 ), comprising:
 i. a processor capable of executing computer-readable instructions; and 
 ii. a memory component operatively coupled to the processor, the memory component comprising:
 A. a leak detection AI model configured to accept data from the plurality of sensors ( 300 ) as input and identifying a detected leak, a detected blockage, excessive water usage, or a combination thereof within, downstream, or upstream of the heating and containment circuit ( 200 ); 
 B. a User Settings Module comprising computer-readable instructions for:
 I. adjusting based on user input, a temperature for the water stored in the plurality of tanks ( 220 ); 
 II. adjusting based on user input, an automatic inlet shutoff setting for the heating and containment circuit ( 200 ); 
 III. adjusting based on user input, an automatic outlet shutoff setting for the heating and containment circuit ( 200 ); 
 IV. adjusting based on user input, a temporary reduction of water, power, or a combination thereof directed to the heating and containment circuit ( 200 ); 
 V. adjusting based on user input, a scalding safety governor configured to detect when the heating and containment circuit ( 200 ) is producing water at a temperature above a threshold set by a user; and 
 VI. setting based on user input, a maximum number and a maximum duration of alerts triggered by the Smart Appliance ( 400 ); 
 
 C. a Flow Control Module comprising computer-readable instructions for:
 I. automatically activating the electric high-frequency generator ( 430 ) upon activation of one or more water fixtures; 
 II. temporarily reducing, in response to a request for the temporary reduction of water in the User Settings Module, a flow of water through the heating and containment circuit ( 200 ); 
 III. automatically activating or deactivating the heating element ( 215 ) based on the prediction of future hot water usage and cost from the predictive AI model; and 
 IV. automatically reducing, in response to the leak detection AI model identifying a detected leak, the flow of water through the heating and containment circuit ( 200 ); 
 
 D. a Utility Interface Module comprising computer-readable instructions for:
 I. connecting the system ( 100 ) to a utility supplier; 
 II. requesting a temporary reduction of operation of the heating and containment circuit ( 200 ) to accommodate reductions requested by the utility supplier; and 
 III. alerting the user in response to temporary reduction of operation requested by the utility supplier; 
 
 E. a Safety Monitor and Control Module comprising computer-readable instructions for:
 I. closing the inlet ( 202 ), the outlet ( 204 ), or a combination thereof in response to the detected leak, the detected blockage, excessive hot water usage, or a combination thereof; 
 II. reducing power to the heating element ( 215 ) if the safety scalding governor detects that the heating and containment circuit ( 200 ) is producing water at a temperature above the threshold, if the inlet ( 202 ), outlet ( 204 ), or both are closed, if the utility supplier requests the temporary reduction of operation, or a combination thereof; 
 III. detecting an irregularity in the temperature of the water, an irregularity in power delivered to the heating element ( 215 ) indicative of a fault in the heating element ( 215 ); 
 IV. detecting, based on the data from the plurality of sensors ( 300 ), the predictive AI model, the leak detection AI model, or a combination thereof, one or more current or predictive faults or maintenance needs; 
 V. alerting the user of the detected leak, the detected blockage, excessive hot water usage, or the combination thereof; 
 VI. alerting the user of the temporary reduction of water based on the user input requested in the User Settings Module; and 
 VII. alerting the user of the one or more current or predictive faults or maintenance needs; 
 
 F. a Hot Water Reporting Module comprising computer-readable instructions for:
 I. reporting a cost and trend of power used by the heating and containment circuit ( 200 ); 
 II. reporting a cost and trend of hot water consumption of the heating and containment circuit ( 200 ); and 
 III. forecasting a future cost of water and power used by the heating and containment circuit ( 200 ) based on the prediction of future hot water usage and cost from the predictive AI model; 
 
 G. a Communication Module comprising computer-readable instructions for managing wireless interfaces between the system ( 100 ) and one or more external devices; 
 H. an Intelligent Power Supply Module comprising computer-readable instructions for:
 I. receiving electric power from a power source; 
 II. cleaning, conditioning, and surge-protecting electric power to the Smart Appliance ( 400 ); and 
 III. regulating and distributing power to the heating element ( 215 ); and 
 
 I. a Maintenance Monitor Module comprising computer-readable instructions for:
 I. alerting the user of the irregularity in the temperature of the water, an irregularity in the power delivered to the heating element ( 215 ), or the combination thereof detected by the Safety Monitor and Control Module; and 
 II. running diagnostics on the heating and containment circuit ( 200 ) and one or more modules of the Smart Appliance ( 400 ) at a fixed interval. 
 
 
   
     
     
         11 . The system ( 100 ) of  claim 10 , wherein the heating and containment circuit ( 200 ) further comprises one or more inductors ( 210 ) operatively coupled to the heating element ( 215 ), wherein actuating the one or more inductors ( 210 ) induces magnetic eddy currents in the ferromagnetic material of the heating element ( 215 ) to heat the water and reduce a concentration of calcite in the water. 
     
     
         12 . The system ( 100 ) of  claim 11 , wherein the heating element ( 215 ) comprises a solenoid coil comprising copper tubing, disposed external to a flow of the water through the inlet ( 202 ) and the outlet ( 204 ). 
     
     
         13 . The system ( 100 ) of  claim 11 , wherein the heating and containment circuit ( 200 ) further comprises a plurality of tanks ( 220 ) fluidly coupled to the inlet ( 202 ), the heating element ( 215 ), and the outlet ( 204 ), configured to contain the water;
 wherein the heating element ( 215 ) comprises a plurality of planar heating surfaces, each planar heating surface submerged in each tank of the plurality of tanks ( 220 ).   
     
     
         14 . A system ( 100 ) for heating water comprising:
 a. a heating and containment circuit ( 200 ) fluidly coupled to a plurality of water fixtures ( 600 ), comprising an inlet ( 202 ) configured to accept water from the plurality of water fixtures ( 600 ), a heating element ( 215 ) fluidly coupled to the inlet ( 202 ), configured to heat the water, and an outlet ( 204 ) fluidly coupled to the heating element ( 215 ), configured to direct the water to an external source;   b. a plurality of sensors ( 300 ) comprising pressure sensors, temperature sensors, flow rate sensors, or a combination thereof, wherein at least one pressure sensor, at least one temperature sensor, and at least one flow rate sensor of the plurality of sensors ( 300 ) is integrated into the inlet ( 202 ), wherein at least one pressure sensor, at least one temperature sensor, and at least one flow rate sensor of the plurality of sensors ( 300 ) is integrated into the outlet ( 204 );   c. a cloud computing system communicatively coupled to the plurality of sensors ( 300 ), comprising a predictive artificial intelligence (AI) model, configured to accept data from the plurality of sensors ( 300 ) as input and generate a prediction of potential failure of the system ( 100 ) and a prediction of future hot water usage and cost as output such that a wireless device is alerted of the prediction of potential failure of the system ( 100 ) and the prediction of future hot water usage and cost, wherein the prediction of future hot water usage and cost comprises a prediction of water usage down to a time of day for every day of a year; and   d. a Smart Appliance ( 400 ) communicatively and operatively coupled to the heating and containment circuit ( 200 ) and the plurality of sensors ( 300 ), configured to monitor, operate, regulate, and run diagnostics on the heating and containment circuit ( 200 ) automatically or in response to user input, the Smart Appliance ( 400 ) comprising a leak detection AI model configured to accept data from the plurality of sensors ( 300 ) as input and identifying a detected leak, a detected blockage, excessive water usage, or a combination thereof within, downstream, or upstream of the heating and containment circuit ( 200 ).   
     
     
         15 . The system ( 100 ) of  claim 14 , wherein the Smart Appliance ( 400 ) further comprises a User Settings Module comprising computer-readable instructions for:
 a. adjusting based on user input, a temperature for the water stored in the plurality of tanks ( 220 );   b. adjusting based on user input, an automatic inlet shutoff setting for the heating and containment circuit ( 200 );   c. adjusting based on user input, an automatic outlet shutoff setting for the heating and containment circuit ( 200 );   d. adjusting based on user input, a temporary reduction of water, power, or a combination thereof directed to the heating and containment circuit ( 200 );   e. adjusting based on user input, a scalding safety governor configured to detect when the heating and containment circuit ( 200 ) is producing water at a temperature above a threshold set by a user; and   f. setting based on user input, a maximum number and a maximum duration of alerts triggered by the Smart Appliance ( 400 ).   
     
     
         16 . The system ( 100 ) of  claim 15 , wherein the Smart Appliance ( 400 ) further comprises a Flow Control Module comprising computer-readable instructions for:
 a. automatically activating the heating element ( 215 ) upon activation of one or more water fixtures;   b. temporarily reducing, in response to a request for the temporary reduction of water in the User Settings Module, a flow of water through the heating and containment circuit ( 200 );   c. automatically activating or deactivating the heating element ( 215 ) based on the prediction of future hot water usage and cost from the predictive AI model; and   d. automatically reducing, in response to the leak detection AI model identifying a detected leak, the flow of water through the heating and containment circuit ( 200 ).   
     
     
         17 . The system ( 100 ) of  claim 15 , wherein the Smart Appliance ( 400 ) further comprises a Safety Monitor and Control Module comprising computer-readable instructions for:
 a. closing the inlet ( 202 ), the outlet ( 204 ), or a combination thereof in response to the detected leak, the detected blockage, excessive water usage, or a combination thereof;   b. reducing power to the heating element ( 215 ) if the safety scalding governor detects that the heating and containment circuit ( 200 ) is producing water at a temperature above the threshold, if the inlet ( 202 ), outlet ( 204 ), or both are closed, or a combination thereof;   c. detecting an irregularity in a temperature of the water, an irregularity in power delivered to the heating element ( 215 ) indicative of a fault in the heating element ( 215 );   d. detecting, based on the data from the plurality of sensors ( 300 ), the predictive AI model, the leak detection AI model, or a combination thereof, one or more current or predictive faults or maintenance needs;   e. alerting the user of the detected leak, the detected blockage, excessive hot water usage, or the combination thereof;   f. alerting the user of the temporary reduction of water based on the user input requested in the User Settings Module; and   g. alerting the user of the one or more current or predictive faults or maintenance needs.   
     
     
         18 . The system ( 100 ) of  claim 17 , wherein the Smart Appliance ( 400 ) further comprises a Maintenance Monitor Module comprising computer-readable instructions for:
 a. alerting the user of the irregularity in the temperature of the water, an irregularity in the power delivered to the heating element ( 215 ), or the combination thereof detected by the Safety Monitor and Control Module; and   b. running diagnostics on the heating and containment circuit ( 200 ) and one or more modules of the Smart Appliance ( 400 ) at a fixed interval.   
     
     
         19 . The system ( 100 ) of  claim 14 , wherein the Smart Appliance ( 400 ) further comprises a Utility Interface Module comprising computer-readable instructions for:
 a. connecting the system ( 100 ) to a utility supplier;   b. requesting a temporary reduction of operation of the heating and containment circuit ( 200 ) to accommodate reductions requested by the utility supplier; and   c. alerting the user in response to temporary reduction of operation requested by the utility supplier.   
     
     
         20 . The system ( 100 ) of  claim 14 , wherein the Smart Appliance ( 400 ) further comprises a Hot Water Reporting Module comprising computer-readable instructions for:
 a. reporting a cost and trend of power used by the heating and containment circuit ( 200 );   b. reporting a cost and trend of hot water consumption of the heating and containment circuit ( 200 ); and   c. forecasting a future cost of water and power used by the heating and containment circuit ( 200 ) based on the prediction of future hot water usage and cost from the predictive AI model.   
     
     
         21 . A system ( 100 ) for heating water comprising:
 a. a heating and containment circuit ( 200 ) fluidly coupled to a plurality of water fixtures ( 600 ), comprising:
 i. an inlet ( 202 ) configured to accept the water; 
 ii. an outlet ( 204 ) configured to direct the water to an external source; 
 iii. a plurality of tanks ( 220 ), wherein a first tank of the plurality of tanks ( 220 ) is fluidly coupled to the inlet ( 202 ), wherein at least one tank of the plurality of tanks ( 220 ) is fluidly coupled to the outlet ( 204 ), wherein the plurality of tanks ( 220 ) are fluidly coupled to each other, wherein each tank of the plurality of tanks ( 220 ) is configured to store the water; and 
 iv. a plurality of planar heating surfaces, each planar heating surface ( 215 ) fluidly coupled to a bottom of each tank of the plurality of tanks ( 220 ) such that each planar heating surface ( 215 ) is fully submerged within a tank of the plurality of tanks ( 220 ), wherein each planar heating surface ( 215 ) comprises a ferromagnetic material, wherein the plurality of planar heating surfaces is configured to heat the water stored by the plurality of tanks ( 220 ); 
   b. a plurality of sensors ( 300 ) comprising pressure sensors, temperature sensors, flow rate sensors, or a combination thereof, wherein at least one pressure sensor, at least one temperature sensor, and at least one flow rate sensor of the plurality of sensors ( 300 ) is integrated into the inlet ( 202 ), wherein at least one pressure sensor, at least one temperature sensor, and at least one flow rate sensor of the plurality of sensors ( 300 ) is integrated into the outlet ( 204 );   c. a cloud computing system communicatively coupled to the plurality of sensors ( 300 ), comprising a predictive artificial intelligence (AI) model, configured to accept data from the plurality of sensors ( 300 ) as input and generate a prediction of potential failure of the system ( 100 ) and a prediction of future hot water usage and cost as output such that a wireless device is alerted of the prediction of potential failure of the system ( 100 ) and the prediction of future hot water usage and cost, wherein the prediction of future hot water usage and cost comprises a prediction of water usage down to a time of day for every day of a year; and   d. a Smart Appliance ( 400 ) communicatively and operatively coupled to the heating and containment circuit ( 200 ) and the plurality of sensors ( 300 ), configured to monitor, operate, regulate, and run diagnostics on the heating and containment circuit ( 200 ) automatically or in response to user input, the Smart Appliance ( 400 ) comprising a leak detection AI model configured to accept data from the plurality of sensors ( 300 ) as input and identifying a detected leak, a detected blockage, excessive water usage, or a combination thereof within, downstream, or upstream of the heating and containment circuit ( 200 ).   
     
     
         22 . The system ( 100 ) of  claim 21 , wherein a material of the plurality of tanks ( 220 ) comprises a steel material, a composite material, or a combination thereof.