KCDO.pl – Data Science for Renewable Energy: Intelligent Land Selection
We use advanced data science methods to analyse and select optimal sites for renewable energy (RES) investments.
At the core of our solutions lies a database developed by our team of data science experts. It contains comprehensive geospatial information and specialised RES data (including wind conditions and solar radiation), as well as environmental data, flood risk, soil properties, local development plans (MPZP), and legal and business considerations.
Our geo:INFRA database holds over 100 million records and is continuously updated to ensure access to the most current information.
What sets KCDO.pl databases apart? Above all, it’s the high quality and accuracy of the data – meticulously cleaned and prepared for advanced numerical analysis and business applications.
We are constantly expanding our databases by adding new layers of information. Feel free to contact us to learn more about our solutions. Selected datasets are also available for purchase.
Data on bird and mammal migration, ecological corridors, and Natura 2000 areas.
These datasets are essential for assessing the environmental impact of investments and preparing environmental reports.
The first database of its kind on a national scale in Poland.
A fully digitised source of all Standard Data Forms (SDFs), containing information on protected species and Natura 2000 habitats in Poland—essential for assessing the environmental impact of investments.
A digitised and weekly updated collection of all binding Local Development Plan (MPZP) documents in Poland, with the ability to search acts by keywords. An essential database and service for urban planners, legal professionals, and investors.
For the specified plot IDs, we provide statistical information on: types of ownership, lease status of the plot, number of plot owners.
Primary Supply Points with planned connection capacities, and low, medium, and high voltage lines.
A dataset including, among others: parcel base data, terrain elevation, and BDOT10k objects (Topographic Object Database: buildings, roads, hydrography, land cover).
Perfectly vectorised, digital soil data on land classification (bonitation), i.e. soil quality classes.
This is essential information for planning any renewable energy investment, determining the value of agricultural land, or calculating crop insurance premiums.
Verification of flood risk on a given plot or area – with recurrence intervals of once every 500 years (0.2%), 100 years (1%), and 10 years (10%).
This is essential information for any renewable energy investment.
Wind speed and power at heights of 10 m, 50 m, 100 m, 150 m, and 200 m, as well as the capacity factor for IEC1, IEC2, and IEC3 — these are key parameters used in wind energy potential analysis and wind farm design.
Kluczowe dane dotyczące nasłonecznienia istotne z punktu widzenia inwestycji w farmy fotowoltaiczne:
DHI (Diffuse Horizontal Irradiance)
DNI (Direct Normal Irradiance)
GHI (Global Horizontal Irradiance)
GTI (Global Tilted Irradiance),
Check which building permits and notifications have been issued for your plot of interest, including the surrounding buffer zone. You can also examine entire municipalities, counties, or voivodeships.
© 2022-2025 KCDO
Location
Cieszyńska 23G, 43-170 Łaziska Górne, Poland
Cieszyńska 23G
43-170 Łaziska Górne
Poland
Sales department
© 2022 KCDO