Rexplorer has been supported by the Norway Grants Green ICT programme

Project implementation period:

15.10.2020 -

Project budget:

386 000 €

Community energy production in Europe has huge potential: a recent study found that half of EU citizens – including local communities, schools and hospitals – could be producing their own renewable electricity by 2050, meeting 45% of the EU’s energy demand.

Still, it's very difficult and time-consuming for ordinary people to find the best areas for new wind and solar projects, understand their costs and profitability, and then get all paperwork done.

Our mission

Radically improve customer experience in renewable energy
Encourage people to start producing renewable energy without previous knowledge
Help people join the community energy revolution

Goal of the project

Turn the Land Plot Search application into a complete community energy SaaS platform and validate it for the other markets.

Expected results

Fully functional product by mid-2022, which will be commercialised in Baltics and Scandinavia.

Project in numbers

MW of solar parks under monitoring with our SCADA system
Layers of environmental and infrastructural data analysed instantly
Countries where we already provide services and work on the pilots

Project timeline

2020 October
Project kick-off
SCADA system setup
>750 000 new cadasters added to the data
2021 February
PRIA, valuable landscapes, green network, 1st & 2nd category birds and species added to the data
User research, interviews with PV users and municipalities in Estonia
Signed the cooperation with Energiaühistu towards building a Community Energy Platform
First version of our Solar Calculator widget, SCADA monitors 30+ solar parks across 2 countries
The Land Plot Search tool supports Latvia as the 2nd country
sTARTUp Day 2021, first community renewable energy workshop in Hiiumaa
Started cooperation with Helmes, our software development partner
In Rexplorer, we instantly analyse the land plots in Estonia and Latvia for the environmental restrictions and technical feasibility.

We do that with our web application that relies on public and private data sources from energy operators, sensors, satellites, and own modelling algorithms.