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Estimate Solar Energy Generation for Any Location

Calculate how much electricity a solar installation would generate at any UK location based on irradiance and panel configuration.

Quick answer: Use the Energy Data tool through ToolRouter to estimate solar energy generation for any location directly from Claude, ChatGPT, Microsoft Copilot, and OpenClaw — connect once, then drive it with plain-language prompts. No code required.

Tool
Energy Data icon
Energy Data

Deciding whether to install solar panels means answering a question nobody around you can answer precisely: how much electricity will these panels actually generate here, at my specific address, facing my specific roof? Installer quotes vary wildly, and the estimates on most comparison websites are based on regional averages that ignore local shading, pitch, and orientation.

The solar_estimate skill calculates expected annual and monthly generation for a given location, panel capacity, and orientation. It uses actual solar irradiance data for the coordinates rather than regional approximations, giving you a figure you can trust when comparing against your current electricity bill or evaluating installer proposals.

Homeowners assessing solar viability, property developers planning new builds with solar, and energy consultants validating installer quotes all use this to get honest, location-specific generation estimates before committing to an installation.

How to estimate solar energy generation for any location with Claude, ChatGPT, Microsoft Copilot, and OpenClaw

Connect ToolRouter

1Open connector settings Open Settings
2Add a custom connector with these details
Name
ToolRouter
URL
https://api.toolrouter.com/mcp
3Let Claude set you up Open Claude
No API key needed.All platforms →

Claude takes a solar generation estimate and turns it into a full financial picture — calculating payback periods, annual savings against current tariffs, and how much excess generation you could export. It answers the real question behind every solar enquiry: is this worth the money for my specific situation?

How to estimate solar energy generation for any location

Once connected (see setup above), use the Energy Data tool — the same steps work with Claude, ChatGPT, Microsoft Copilot, OpenClaw, and any MCP client:

  1. Ask: "Estimate solar generation for a 4kWp south-facing system at postcode BS1 5TL using energy-data"
  2. Claude returns monthly and annual generation estimates
  3. Ask: "How much could I save annually at current electricity prices?"
  4. Request: "What's the approximate payback period if installation costs £8,000?"

Example prompt

Try this with the Energy Data tool
Estimate annual solar generation for a 5kWp system on a south-facing roof at postcode TQ4 6AF. Calculate my likely annual savings and payback period assuming I pay 28p per kWh and the system costs £9,500 installed.

Tips

  • Try different panel orientations (south-east, south-west) to see how much tilt matters for your roof
  • Ask Claude to compare generation estimates with and without battery storage
  • Request a month-by-month generation profile to understand winter shortfalls

Frequently Asked Questions

How do I estimate solar energy generation for any location with an AI assistant?

Calculate how much electricity a solar installation would generate at any UK location based on irradiance and panel configuration. Connect the Energy Data tool to Claude, ChatGPT, Microsoft Copilot, and OpenClaw through ToolRouter, then ask the assistant in plain language. For example: Ask: "Estimate solar generation for a 4kWp south-facing system at postcode BS1 5TL using energy-data" Claude returns monthly and annual generation estimates

Which AI assistants can estimate solar energy generation for any location?

Claude, ChatGPT, Microsoft Copilot, and OpenClaw can all estimate solar energy generation for any location using the Energy Data tool through ToolRouter, with no API keys or coding required.

What does the Energy Data tool do?

Get live electricity prices by region and solar energy estimates for any location.

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