Design & Implementation Project
A static frontend demonstration of how HTML, CSS and JavaScript can represent, simulate and communicate a real-world renewable energy infrastructure.
Solar Input
Battery Level
Load Output
A solar-powered backup system captures sunlight, converts it to usable electricity, stores excess energy in batteries, and delivers reliable power when the grid fails or solar input is insufficient.
Photovoltaic cells absorb sunlight and convert it into direct current (DC) electricity through the photovoltaic effect.
Regulates voltage and current from the solar panels to safely charge the battery bank, preventing overcharge and damage.
Stores excess DC electricity for use during low sunlight conditions or grid failures, providing stable backup power.
Converts stored DC power from the battery into alternating current (AC) compatible with household appliances and loads.
Electrical appliances and devices powered by the system receive clean, regulated AC power from the inverter output.
Each component plays a critical role in ensuring the system operates efficiently, safely, and reliably across all conditions.
The panel array faces south at a 20° tilt for optimal year-round irradiance capture. Bypass diodes prevent reverse current flow from shaded cells.
Maximum Power Point Tracking technology extracts up to 30% more energy than PWM controllers by continuously adjusting impedance matching.
Lithium Iron Phosphate chemistry provides superior thermal stability, long service life and consistent discharge voltage compared to lead-acid alternatives.
Pure sine wave output ensures compatibility with sensitive electronics including medical equipment, variable-speed motors, and audio systems.
Detects grid failure within milliseconds and seamlessly switches to battery-backed inverter power, providing near-uninterruptible supply to critical loads.
This very interface — a frontend-only dashboard demonstrating how JavaScript can represent system telemetry, energy flow and usage history interactively.
Adjust conditions and observe how the solar backup system responds. All values update dynamically using JavaScript.
Visualizing expected daily solar generation, load consumption patterns, and battery state of charge throughout a typical day.