PRODUCTS
EXTRAQT accurately analyses the energetic potential of your lake to heat and cool your buildings
EXTRAQT can analyse the total energetic potential of any river in any country to give estimations on how many cities, villages, or buildings can be aquathermally heated or cooled
PRODUCTS
EXTRAQT accurately analyses the energetic potential of your lake to heat and cool your buildings
EXTRAQT can analyse the total energetic potential of any river in any country to give estimations on how many cities, villages, or buildings can be aquathermally heated or cooled
PRODUCTS
EXTRAQT accurately analyses the energetic potential of your lake to heat and cool your buildings
EXTRAQT can analyse the total energetic potential of any river in any country to give estimations on how many cities, villages, or buildings can be aquathermally heated or cooled
LAKE MODEL
EXTRAQT uses a lake digital twin to model the aquathermal potential of your lake.
The model serves to:
What is the added value for you?
LAKE MODEL
EXTRAQT uses a lake digital twin to model the aquathermal potential of your lake.
The model serves to:
What is the added value for you?
RIVER MODEL
EXTRAQT uses a river regeneration model to accurately analyse the potential of rivers to be used as a renewable heating and cooling source.
The model serves to:
What is the added value for you?
Let us give you an example:
To get an example of the power of aquathermal heating and cooling, hover and click over the image underneath. It will show casestudy results for the aquathermal potential of the Dyle between Leuven and Mechelen. In the casestudy, a scenario is evaluated where aquathermal heat pumps are connected to the Dyle to give heat to all the buildings within 1 km from the river. Clicking on the cities in the image gives more info on the analysed heat demand, clicking on the river Dyle gives an overview of the thermal impact when these heat demands would be extracted. In the figure below, red areas represent areas of high heat demand located mostly in the city centers.
Download this article (in Dutch) to get more information and results on the potential of the Dyle as a sustainable thermal source.
RIVER MODEL
EXTRAQT uses a river regeneration model to accurately analyse the potential of rivers when used to heat or cool surrounding regions.
The model serves to:
What is the added value for you?
66% of the total heat demand in Mechelen corresponds to 317 GWh each year which is the total demand of about 23 000 households. The area within 1 km from the Dyle in Mechelen is shown in blue in the figure above.
During the moment of highest peak heat demand, 12.9 MW would be extracted from the river Dyle in Mechelen. The temperature drop in the river in this case is estimated to be only 0.26°C.
6% of the total heat demand in Bonheiden corresponds to 3 GWh each year which is the total demand of about 200 households. The area within 1 km from the Dyle in Bonheiden is shown in blue in the figure above.
During the moment of highest peak heat demand, 1.3 MW would be extracted from the river Dyle in Bonheiden. The temperature drop in the river in this case is estimated to be only 0.03°C.
7% of the total heat demand in Boortmeerbeek corresponds to 3.5 GWh each year which is the total demand of about 200 households. The area within 1 km from the Dyle in Boortmeerbeek is shown in blue in the figure above.
During the moment of highest peak heat demand, 0.62 MW would be extracted from the river Dyle in Boortmeerbeek. The temperature drop in the river in this case is estimated to be only 0.01°C.
5% of the total heat demand in Keerbergen corresponds to 0.60 GWh each year which is the total demand of about 150 households. The area within 1 km from the Dyle in Keerbergen is shown in blue in the figure above.
During the moment of highest peak heat demand, 2.52 MW would be extracted from the river Dyle in Keerbergen. The temperature drop in the river in this case is estimated to be only 0.05°C.
7% of the total heat demand in Haacht corresponds to 1.6 GWh each year which is the total demand of about 200 households. The area within 1 km from the Dyle in Haacht is shown in blue in the figure above.
During the moment of highest peak heat demand, 0.35 MW would be extracted from the river Dyle in Haacht. The temperature drop in the river in this case is estimated to be only 0.01°C.
4% of the total heat demand in Rotselaar corresponds to 1.91 GWh each year which is the total demand of about 200 households. The area within 1 km from the Dyle in Rotselaar is shown in blue in the figure above.
During the moment of highest peak heat demand, 0.78 MW would be extracted from the river Dyle in Rotselaar. The temperature drop in the river in this case is estimated to be only 0.02°C.
67% of the total heat demand in Leuven corresponds to 266 GWh each year which is the total demand of about 32 000 households. The area within 1 km from the Dyle in Leuven is shown in blue in the figure above.
During the moment of highest peak heat demand, 23.4 MW would be extracted from the river Dyle in Leuven. The temperature drop in the river in this case is estimated to be only 0.47°C.
600 GWh heat can be delivered by the river the Dyle each year. In total about 56 000 households could benefit from this huge potential if district heating and cooling networks would be build to provide the heat and cold to the houses.
When analysing the total available potential of the river, it is crucial to take the effect of temperature regeneration into account between the different cities. So that's why we also model this temperature recovery behaviour between the extractions locations. To give you an example of the power of regeneration modeling: If regeneration would not have been modelled the total temperature drop after Mechelen would have been 0.85°C, while this is only 0.6°C if regeneration is modelled.
GENERAL INFO
EXTRAQT bv
Brusselsestraat 190
3000 Leuven
BE 0770.846.528
CONTACT US
info@extraqt.be
+32 479 13 52 07
EXTRAQT BV – Algemene voorwaarden