CROSSDat
CROSSDat connects distributed SWEET and energy-related datasets through a single searchable platform. No duplication. No manual searching. Just structured, reusable data.
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CROSS harmonising assumptions
CROSS harmonises key modelling assumptions such as population, GDP, energy demand and technology costs to enable meaningful comparison of energy system model results.
Comparable results
Comparability
CROSS harmonises key modelling assumptions such as population, GDP, energy demand and technology costs to enable meaningful comparison of energy system model results
Shared input data
Reference
Key drivers such as population, GDP, energy demand and technology costs are defined using common reference ranges.
Continuously updated
Dynamic
Assumptions are regularly reviewed and updated based on research developments and official data sources.
CROSS harmonises key modelling assumptions such as population, GDP, energy demand and technology costs to enable meaningful comparison of energy system model results.
About
Assumptions
Why harmonising assumptions matters?
Energy system models rely on many input assumptions, including population growth, economic development, technology costs and energy demand patterns.
If each modelling team uses different assumptions, the resulting scenarios become difficult to compare. Differences in results may simply reflect different input values rather than genuine differences in modelling approaches.
To address this challenge, CROSS provides a set of harmonised modelling assumptions that serve as common reference values across modelling teams. This allows scenario results to be compared in a meaningful and transparent way.
The harmonised assumptions support the comparison of results across models participating in the CROSS scenarios framework.
What is included in harmonised assumptions
CROSS assumptions cover the main drivers used across energy system modelling frameworks
Demand behaviour
Demand hourly profiles and EV charging profiles
Get the latest assumptions
Browse and download the most recent harmonised assumptions and their versions via CROSSDat.
Full reports
Assumptions reports describe the available data and their estimation
How this connects to the CROSS ecosystem
Harmonised assumptions link the data and documentation layers of CROSS so users can move from inputs to scenarios and results with full transparency