Solar Water Heater History Analysis Tool

From this page, you can select a date range—even just a single day—for viewing and analysis.

Google Charts Example

Today

Day MIN DS1 MAX DS1 AVG DS1 MIN Temp MAX Temp AVG Temp AVG LDR
2025-06-26 54.75 82.06 70.88 21.7 36 29.32 648.2

Selected Date Range (Excluding Today)

Day MIN DS1 MAX DS1 AVG DS1 MIN Temp MAX Temp AVG Temp AVG LDR
2025-06-25 42.69 78.06 63.02 19.9 34.4 28.9 702.81
2025-06-24 50.31 86.25 68.42 19 32.4 26.12 653
2025-06-23 43.69 77.75 65.56 17.6 30.3 24.55 635.74
2025-06-22 38.38 72.81 54.49 16 28.3 22.54 618.68
2025-06-21 39.19 62.19 51.82 17.3 28.3 21.47 584.19
2025-06-20 48.94 54.13 52.27 18.4 26.9 21.71 590.27
2025-06-19 32.75 62.38 47.27 15.8 29.7 22.7 618.09

Monitoring and analyzing the data of a solar water heater is extremely important for effective performance management and energy savings. By developing tools that allow users to examine the IoT (Internet of Things) data of the water heater within time intervals of their choosing, solar system owners gain a valuable opportunity to improve operation, detect issues, and maximize efficiency.

What Users Can Study with a Historical Data Tool
The Historical Data Tool for the solar water heater’s IoT allows users to analyze essential operational data and monitor its performance over selected time periods. This can be done by inputting a specific time frame (e.g., days, weeks, months). Here are some of the key insights that can be studied:

Continuous Water Temperature Monitoring: The user can observe the changes in water temperature in the heater in real time, as well as through historical data. This helps understand when the system is heating effectively and identify any potential failures or inefficiencies.

Ambient Temperature Analysis: Data on ambient temperature is also useful, as it shows how weather conditions affect the solar water heater’s performance. For example, on colder days, the performance may decrease, and this can be observed through the tool.

Light Intensity Levels (LDR): The light intensity sensor (LDR) provides important insights into how much solar energy is available and how that impacts heat production. On sunny days, the heater is expected to perform better, while on cloudy days, performance tends to drop.

Energy Management and Savings: By examining the relationship between outside temperature, sunlight, and water temperature, users can better understand energy consumption and identify when the system consumes more power than necessary. This is particularly helpful for reducing dependence on electricity and optimizing the system’s performance.

Solar Water Heater Performance Evaluation: Historical data helps users assess the overall performance of their solar water heater over a selected period. They can compare efficiency across different timeframes and see how factors like solar radiation and ambient temperature affect productivity.

Maintenance and Repair Forecasting: By monitoring historical data, users can spot anomalies or performance issues that may indicate the need for maintenance or repair. The tool helps with early diagnosis and can prevent more significant damage.

Importance of Historical Data for Effective Management
The ability to monitor and analyze the historical data of a solar water heater not only helps in understanding system performance but also supports informed decisions about energy usage and equipment maintenance. These insights are also invaluable for optimizing energy savings, especially when users understand how various factors impact system performance.

Conclusion
A historical data tool for solar water heaters is essential for users who want to manage their system effectively and achieve energy savings. By analyzing data over timeframes of their choosing, users can identify trends, evaluate performance, and improve the operation of their solar system.

Thomas Karaferis
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