In Energy Modelling Lab we believe that modelling the world can help creating an informed sustainable transition.
Future energy systems are complex and highly interlinked. With our models we investigate synergies and find the highly impactful solutions towards a clean energy system.
To speed up the green transition we believe that information should be freely available. Therefore our models are open sourced, as far as possible.
In our GitHub repositories you can find the Open Nordic TIMES model (ON-TIMES) and the Danish Bioresource model (DK-BioRes).
The TIMES model framework
The TIMES models are energy system models, that are used to explore future scenarios. The model combines a technical engineering approach with an economic approach. This enables the model to optimize and find the most cost efficient way to a set target.
Our TIMES models cover all economic sectors in Denmark such as energy and heating, transport, industry, housing and agriculture. Throughout these sectors the model tracks all energy use and greenhouse gas emissions.
Top down or bottom up?
We use the model in two ways. In to top down approach the model finds the optimal path to a certain goal. For example net zero green house gas emissions in 2050. In the bottom up approach, the model is used to test the consequences of different political tools such as a CO2-tax.
GLOBAL PROJECTS ON Country, regional and city level
The Danish model has been used to evaluate the health impact of the green transition and test the climate policies of all Danish political parties.
The Vietnamese model is used in developing and implementing a long-term energy strategy for the Vietnamese government.
The model of the energy system in Azerbaijan is used to support to the local government in developing and implementing a long-term energy strategy.
The Ukraine model supports the government in Ukraine in planning for their future green energy system.
The Danish Bioresource model (DK-BioRes)
The bioresource model can be used to evaluate the consequences of different political means. In the model a range of parameters can be adjusted such as the area distribution or animal production, and then the model will show the consequences for both climate and the available biomass.
The model is flow-based and tracks the biomass resources throughout the agriculture and forestry sector.
If you want to create your own scenarios, the model is available open source in our GitHub repository.
MODELLING DANISH AGRICULTURE
The model is build as part of a project for the Danish Energy Agency.
CLIMATE NEUTRAL AGRIGULTURE
The model has been used in a study showing two paths to a climate neutral agriculture and forestry sector in Denmark.
Balmorel is a flexible power and district heating model that – with the right data – can cover any region or country. Balmorel is used for analyzing more detailed within the power system and can be used for both long and shorter term analysis.
The model was originally developed to model the region around the Baltic Sea but has been applied throughout the world.
Carbon budget tool
CO2-budget tool can be used to divide the remaining global CO2 budget as stated in the IPCC reports. Different parameters can be used as weights like population, GDP and emission.
IPAT(D) is meant to give an illustrative visualization of the impact from population, affluence and technological development on climate and Ecological Footprint.