One of the potential applications by this integrated tool is the example of the model MESSAGEix-GLOBIOM. The datasets on current global tendencies encapsulated into the model MESSAGEix-GLOBIOM have a main role when modelling and generating quantitative scenarios and evaluating case studies that have added value to the research community of the Intergovernmental Panel on Climate Change and the scientific community.
Both, the input datasets and result datasets are the final product delivered to the open platform to be available for future projects, and built-on results. Some examples of the most common input datasets in energy system modelling such as MESSAGEix-GLOBIOM are:
- Fossil fuel prices
- CO2 prices/budgets
- Technology cost/learning rates
- Renewable resource potentials
- Energy demand projections
The MESSAGEix-GLOBIOM model is able to optimize an energy system to compensate energy demand with the lowest cost. This can be linked to a module that estimate a macro-economic demand response designated by the configuration of the energy system. This results in the disposition of data related to the demand, price, and emission development based on a global perspective. This has been particularly useful, for example when estimating the CO2 budget for Europe and complying with the goals of the Green Deal of limiting rising global temperatures to 1.5 oC.
The relation of the CO2 budget with the global temperature increase allows also to link the models of openENTRANCE with the scenarios, transition pathways and storylines. The storylines with high exposure, on the corners of the cube, refer to the target of 1.5 oC, meanwhile the storyline with low exposure, in the centre of the cube, refer to the target of 2.0 oC, as follows:
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