# Solar Panels Cost Calculator

Introduction: The Solar Panels Cost Calculator provides an estimate of the potential savings from solar panels based on panel wattage, average daily sunlight, and electricity rate. This tool helps individuals assess the financial benefits of investing in solar energy.

Formula: The estimated savings per year is calculated using the formula: Estimated Savings = (Panel Wattage * Daily Sunlight * 365 * Electricity Rate) / 1000.

How to Use:

1. Enter the solar panel wattage in watts.
2. Input the average daily sunlight in hours.
3. Specify the electricity rate in dollars per kilowatt-hour.
4. Click the “Calculate” button to see the estimated savings per year.
5. The result will be displayed below the button.

Example: For instance, if you have a 300-watt solar panel, an average daily sunlight of 5 hours, and an electricity rate of \$0.15/kWh, the estimated savings per year would be (300 * 5 * 365 * 0.15) / 1000 = \$273.75.

FAQs:

1. How do I determine the solar panel wattage?
• Consider your energy needs and available roof space. Higher wattage panels generate more electricity.
2. What is the average daily sunlight?
• It’s the average number of sunlight hours your location receives per day. Check solar maps or local climate data.
3. Can I use this calculator for multiple panels?
• Yes, but the results will represent the estimated savings for a single panel. Multiply by the number of panels for total savings.
4. Does the calculator account for factors like shading or panel orientation?
• No, it provides a basic estimate. Consult with solar professionals for a more accurate assessment.
5. Are there government incentives or rebates considered in the savings calculation?
• No, this calculator focuses on energy savings. Check local incentives separately.

Conclusion: The Solar Panels Cost Calculator is a valuable tool for individuals exploring solar energy options. While it provides estimates, it’s essential to consult with solar professionals for a comprehensive analysis, considering additional factors such as system size, installation costs, and available incentives.