Abstract :

The Increasing Global Demand For Hot Water Systems Has Led To Significant Energy Consumption, With Residential Water Heating Accounting For Nearly 18–25% Of Total Household Energy Usage Worldwide, While Inefficient Heating Systems Contribute To Approximately 30% Of Avoidable Energy Loss. Additionally, Rapid Urbanization And Smart Home Adoption Are Driving The Need For Intelligent, Connected Appliances, With The Internet Of Things (IoT)-enabled Home Automation Market Projected To Surpass 150 Billion USD By 2030. Furthermore, Varying User Schedules And Environmental Conditions Necessitate Adaptive Systems Capable Of Dynamically Adjusting Water Temperature. Traditional Water Heaters Rely Heavily On Manual Operation, Leading To Issues Such As Overheating, Energy Wastage, Delayed Heating, And Lack Of Real-time Monitoring, Which Ultimately Reduce Efficiency And User Convenience. They Also Lack Predictive Control And Fail To Adapt To User Behavior Or Environmental Variations. To Address These Challenges, The Proposed Smart Heat Geyser Utilizes An ESP32 Microcontroller Integrated With Temperature Sensors, Cloud Connectivity, And Adaptive Control Algorithms To Enable Real-time Monitoring And Intelligent Temperature Regulation. The System Dynamically Adjusts Heating Based On User Preferences, Usage Patterns, And Ambient Conditions, Thereby Minimizing Energy Consumption And Enhancing Operational Efficiency. Remote Access Via IoT Platforms Allows Users To Control And Monitor The System Seamlessly, While Automated Decision-making Ensures Safety, Reliability, And Sustainability. This Intelligent Approach Significantly Improves Performance Compared To Conventional Systems, Offering A Scalable And Energy-efficient Solution For Modern Water Heating Applications.

Published:

14-4-2026

Issue:

Vol. 26 No. 4 (2026)

Page Nos:

1675-1680

Section:

Articles

License:

This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

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