CROSSDat: CROSS data platform
Discover and access energy research data in one place
CROSSDat connects distributed SWEET and energy-related datasets through a single searchable platform. No duplication. No manual searching. Just structured, reusable data.
CROSSDat connects distributed SWEET and energy-related datasets through a single searchable platform. No duplication. No manual searching. Just structured, reusable data.
CROSSDat
What is CROSSDat?
CROSSDat is the data access platform of CROSSHub providing unified discovery and access to SWEET and energy-related research data. Instead of storing all datasets in a single repository, the platform connects distributed databases and indexes their metadata, allowing users to find and access datasets regardless of where they are hosted.
Why it matters?
CROSSDat improves transparency, comparability and accessibility of energy modelling data by consolidating dataset descriptions and enabling structured discovery.
How it works?
Data hosting Researchers can publish datasets directly on the platform. | Metadata harvesting CROSSDat automatically collects metadata from external systems. | Unified Search Users search once → discover everything. |
Data
Category | Data package | Description | Download version |
|---|---|---|---|
Assumptions | Assumptions CROSS scenarios v2022-09 | Harmonising assumption for CROSS scenarios V2022-09, including: Macro-economic drivers, energy reference area, heating degree days, end-use energy demands, resource potentials, import prices | |
Resources Biomass | Biomass and waste potentials | Biomass and wast potentials for energy use including wood, manure, green and fossil waste and sewage sludge, 2015-2060. | |
Climate | Climate data from CH2018 scenarios | Climate data from CH2018 scenarios: temperature, heating and cooling degree days for 1981-2099 | |
Demand Assumptions | End-use energy demand assumptions in CROSS scenarios (Reference, high and low variants) | End-use energy demand assumptions for Switzerland in 2000-2050 in CROSS scenarios. Space heat, process heat, warm water, electricity appliances, passenger and freight transport, and aviation fuels | |
Efficiency Buildings | Energy efficiency database for Swiss industry | Techno-economic data for energy efficiency measures applicable in Swiss industrial systems (electric motor driven systems and excess heat recovery systems) and sectors (chemical and pharmaceutical and cement) | |
Efficiency Historical | Energy efficiency indicators for transport, services and industry sectors | Indices for the development of the historical demand for Transport, Services and Industry sectors from Odyssee | |
Efficiency Buildings | Energy efficiency investment cost curve for envelope measures in residential and commercial building stock (CESAR model) | 2013 annual heating energy savings and associated investment costs for envelope measures in residential and commercial buildings in Switzerland; includes: Single-family residential, Multi-family residential, Office, School, Shop, Restaurant and Hospital; based on results from simulations with the CESAR model | |
Efficiency Buildings | Energy efficiency investment cost curve for envelope measures in residential building stock (SwissRes model) | 2016 final energy savings, total investment costs, space heating demand and energy reference area by age, building type, typology and canton (from SwissRes model). This version includes the ERA calculated in Schluck (2019) and it includes the environmental heat in the final energy | |
Buildings Space heating Assumptions | Energy reference area (ERA) in CROSS scenarios (Reference, high and low variants) | Energy reference area (ERA) for residential, commercial and industrial sectors in CROSS scenarios (reference, high and low variants) | |
Fuel import price Assumptions | Fuel import prices 2010-2050 in CROSS (Reference, high and low variants) | Import prices of oil, gas, and hydrogen in CROSS (Reference, high and low variants), 2010-2050 | |
Climate | Heating degree days assumptions in CROSS scenarios (Reference, high and low variants) | Heating degree days assumptions in CROSS scenarios (Reference, high and low variants). Calculated using the CH2018 scenarios | |
Hydropower Climate | Hydropower monthly profile for RCP scenarios | Changes in the hydropower monthly profile due to climate change (RCP scenarios 2.6, 4.5 and 8.5). The data is harmonized to the total production over the year | |
Demand Buildings Hourly profile | Energy Efficiency Indicators for Transport, Services and Industry Sectors | Hourly space heating demand profiles for residential buildings in Switzerland. Includes single- and multi-family buildings both with a modern and an old insulation standard. Calculated with the simulation software IDA-ICE. | |
Macroeconomy | Macro-economic drivers in CROSS scenarios (reference, high and low variants) | Macro-economic drivers in CROSS scenarios: population, working population, number of households and GDP (reference, high and low variants) | |
Electricity Capacity | Net transfer capacities between Switzerland and its neighbouring countries | Electricity border transmission net transfer capacities (NTC) for future years according to ENTSO-E TYNDP in MW per border and flow direction. | |
Modelling results | Results CROSS scenarios v2022-09 | Results CROSS scenarios v2022-09 including electricity, space heat, transport, and industrial heat production and supply | |
Technologies Investment costs Assumptions | Technology investment cost assumptions in CROSS scenarios (Reference, high and low variants) | Technology iInvestment costs assumptions of electricity, heat and hydrogen technologies for 2020-2050 in CROSS scenarios | |
Technologies Investment costs Assumptions | Technology investment costs assumptions for different energy system models | Technology investment costs assumptions for 2050 for BSM, Calliope, EXPANSE, FlexiTI, Nexus-e, OREES, SES-ETH, STEM and TESSA |