Welcome to Ravolva
Solar panels and batteryHow much can you actually save — and what is the optimal size?
Electricity prices, weather, climate and energy use vary considerably throughout the year. There are also large differences between individual homes and buildings.
Good advice therefore depends on local data and your own consumption. Ravolva uses this as the basis for evaluating solar panels, batteries and future energy measures.
Analyse your energy useSix steps from measurements to evaluated measures
- 1
Your energy data
Import hourly consumption. If you already have solar panels, you can also add measured production.
- 2
Location and prices
Your location connects the analysis to the correct price zone, grid tariff and local solar conditions.
- 3
Understand your energy profile
Explore usage patterns, peak loads, seasonal variation, data gaps and energy costs.
- 4
Establish the baseline
Quantify purchased energy, existing production, costs and when energy is used throughout the year.
- 5
Test energy measures
Simulate active and passive measures against the same baseline. Solar panels and batteries are the first supported measures.
- 6
Compare the effects
Compare energy use, peak load, purchased electricity, investment, savings and payback with visible assumptions.
The analysis starts with your own data
You can begin with a location and add data later. Hourly consumption, measured production and actual prices make the recommendations more precise.
Recommendations grounded in your energy profile
Ravolva shows which measures may reduce energy use, shift loads or improve the economics — and when a measure is unlikely to pay off. More types of active and passive measures will be added over time.
Start using Ravolva
Sign in to reopen saved projects, create an account, or continue without an account.
Sign in
Use email and password to load an existing project.
Create account
Create a user to save projects and reopen them later.
Continue without account
Use Ravolva without signing in. Data is only stored in the active session and is lost when the session ends.
Explore example data
Open a ready-made example with one year of synthetic hourly consumption. You can inspect the charts without uploading anything.