METIS
Source: Commission modelling inventory and knowledge management system (MIDAS)
Date of Report Generation: Thu Mar 06 2025
Dissemination: Public
© European Union, 2025
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Overview
Acronym
METIS
Full title
Markets and Energy Technologies Integrated Software
Main purpose
Energy system model designed to simulate the operation of electricity, gas and heat markets and to assess impacts of policy initiatives on the European energy system and markets.
Summary
METIS is an energy model covering with high granularity the European energy system with a focus on electricity, gas and heat. The original model has been developed by the company Artelys. It is currently improved with respect to the representation of energy networks and renewable energy potentials with the aim of modelling and integrated European energy system. The model covers all EU Member States at the regional (NUTS2) level and can by run for medium term projection in an hourly resolution.
The METIS power system captures the European power system, representing power production, consumption and transmission assets. The gas system embeds gas-specific assets and performs simulations for the security of the gas supply or supply source dependence analysis. The intra-day module of METIS allows assessing the impact of the re-adaptation of the generation dispatch up-to real-time, while the balancing module allows simulating the real-time dispatch of the reserve units to face imbalance. Both system- and market-wide results can be computed also stochastically, to account for unpredictable events in the energy supply. The model incorporates four bidding strategies as a post treatment of power system simulations: marginal, strategic, oligopoly and fixed-operating costs.
The model can be used for the policy formulation. METIS is able to simulate the entire European energy system and markets operation for electricity, gas and heat energy carriers under a stochastic uncertainty, capturing for example weather variations and other stochastic events.
Model categories
Energy
Model keywords
Energyenergy system analysisenergy market analysis
Model homepage
https://ec.europa.eu/energy/en/data-analysis/energy-modelling/metis
Ownership and Licence
Ownership
Co-ownership (EU & third parties)
Ownership details
Licence type
Non-Free Software licence
The license has one or more of the following restrictions: it prohibits creation of derivative works; it prohibits commercial use; it obliges to share the licensed or derivative works on the same conditions.
Details
Structure and approach
The METIS model consists of three main modules: power system, gas system and power market. Each of the three modules interact with each other mutually, as the output of one module is fed into other modules as input. Alternatively, the three modules can be run independently, when analysing electricity, gas and heat energy separately.
The Power System module of METIS has been designed to analyse multiple power systems issues, following a welfare-maximisation principle. It is also being used to analyse the European power systems’ dynamics, by providing production plans, electricity flows, production costs, systemic marginal costs, scarcity periods and loss of load, or other standard indicators detailed further in the document. The Power System module contains a library of assets for production, consumption and transmissions that can be attached to each node of the network.
The Power System module contains the following assets: thermal non-renewable energy assets, hydro assets, other renewable energy assets, other storage assets, power consumption, power transmission, fuel contracts, CO2 emissions, reserve requirements, loss of load, and surplus of energy at each node.
The Gas System module has been designed to address multiple gas systems issues, following a welfare-maximisation principle, as in the Power System module. It allows the analysis of the European gas systems’ dynamics, by providing production plans, gas flows, loss of load, etc.
The Gas System module contains the following assets: the gas consumption as described by the national demand of natural gas, the gas production as captures by the indigenous production of natural gas, the gas storage as described by storage facilities for gas, the liquefied natural gas (LNG) terminal as captured by gasification terminals that are receiving and transforming LNG into natural gas, LNG imports as described by imports of LNG sent to LNG terminals, LNG exports as captured by the liquefaction train liquefying natural gas and exporting, gas imports as captured by imports of natural gas from non-modelled countries through pipelines, gas exports as described by exports of natural gas to non-modelled countries through pipelines, pipelines as captured by gas transmissions between modelled zones, and CO2 emissions as described by CO2 emissions due to the consumption of natural gas associated with a CO2 price.
The Power Market module replicates the market participants’ decision process. For a given period (typically, hours or days), the generation plan (including both energy generation and balancing reserve supply) is first optimised based on day-ahead demand and renewable energy generation forecasts. Market coupling is modelled via net transfer capacity (NTC) constraints for interconnectors. Then, the generation plan is updated during the day, taking into account updated forecasts and asset technical constraints. Finally, imbalances are drawn to simulate balancing energy procurement. Imbalances are the result of events that could not have been predicted before the gate closure.
The METIS model files, technical documentation and user’s instructions can be found on the model’s website:
https://ec.europa.eu/energy/data-analysis/energy-modelling/metis_en
Input and parametrization
METIS requires as inputs the following types of data (up to hourly granularity):
- Capacity and technical characteristics of infrastructure
- Capital and technology costs
- Fuel prices
- CO2 emission factors and prices
- Weather data (actual data and forecasts)
- Wind, solar and hydro profiles
- Demand profiles and level of demand
The main sources of data are derived from publically available sources, in particular Eurostat, ENTSO-E and ENTSO-G.
Data for renewable energy potentials and time series are currently updatedA significant part of the input is context dependent, i.e. on the scenario against which METIS is calibrated (e.g. relevant PRIMES scenarios as in the case of the Market Design studies).
In general METIS is very flexible in using very different sources of data and not being restricted to specific databases or sources.
Main output
The model provides the dispatch of energy assets at hourly (or otherwise specified) time resolution.
Spatial & Temporal extent
The output has the following spatial-temporal resolution and extent:
Parameter | Description |
---|---|
Spatial extent / country coverage | EU Member states 27 |
Spatial resolution | NationalSub-national (NUTS2)Sub-national (NUTS3) |
The model can be used at EU country or regional level,as specified by analysts. | |
Temporal extent | Short-term (from 1 to 5 years) |
One year unless specified differently. | |
Temporal resolution | Hours |
Quality & Transparency
Quality
Model uncertainties
Models are by definition affected by uncertainties (in input data, input parameters, scenario definitions, etc.). Have the model uncertainties been quantified? Are uncertainties accounted for in your simulations?
- response
- yes
- details
- METIS allows stochastic simulations.
- url
Sensitivity analysis
Sensitivity analysis helps identifying the uncertain inputs mostly responsible for the uncertainty in the model responses. Has the model undergone sensitivity analysis?
- response
- yes
- details
- Sensitivities runs are included in several METIS studies. These are highly dependent on the context rather than the model.
- url
Have model results been published in peer-reviewed articles?
- response
- yes
- details
- url
Has the model formally undergone scientific review by a panel of international experts?
Please note that this does not refer to the cases when model results were validated by stakeholders.
- response
- yes
- details
- Review by expert panel, led by JRC in 2019.
- url
Model validation
Has model validation been done? Have model predictions been confronted with observed data (ex-post)?
- response
- not applicable
- details
- Most of the analysis performed with METIS addresses future time periods.
- url
Transparency
To what extent do input data come from publicly available sources?
This may include sources accessible upon subscription and/or payment
- response
- Entirely based on publicly available sources
Is the full model database as such available to external users?
Whether or not it implies a specific procedure or a fee
- response
- no
- details
- Based on Eurostat, ENTSO-E, ENTSO-G
- url
Have model results been presented in publicly available reports?
Note this excludes IA reports.
- response
- yes
- details
Have output datasets been made publicly available?
Note this could also imply a specific procedure or a fee.
- response
- no
- details
- At request or by re-running publically available scenario files.
- url
Is there any user friendly interface presenting model results that is accessible to the public?
For instance: Dashboard, interactive interfaces...
- response
- no
- details
- url
Has the model been documented in a publicly available dedicated report or a manual?
Note this excludes IA reports.
- response
- yes
- details
- Fully documented. All documentation can be found on the METIS website.
Is there a dedicated public website where information about the model is provided?
- response
- yes
Is the model code open-source?
- response
- yes
- details
- Model scripts are available for download from DG ENER’s website.
- url
Can the code be accessed upon request?
- response
- not applicable
- details
The model’s policy relevance and intended role in the policy cycle
The model is designed to contribute to the following policy areas
- Energy
The model is designed to contribute to the following phases of the policy cycle
- Formulation – such as ex-ante Impact Assessments
The model’s potential
The model can be used for the policy formulation. METIS is able to simulate the entire European energy system and markets operation for electricity, gas and heat energy carriers under a stochastic uncertainty, capturing for example weather variations and other stochastic events (short to medium term).
Previous use of the model in ex-ante impact assessments of the European Commission
Use of the model in ex-ante impact assessments since July 2017.
2024SWD/2024/63 final
Impact Assessment Report Part 1 Accompanying the document Communication from the Commission to the European Parliament, the Council, the European Economic and Social Committee and the Committee of the Regions Securing our future Europe's 2040 climate target and path to climate neutrality by 2050 building a sustainable, just and prosperous society
- Lead by
- CLIMA
- Run by
- Artelys
- Contribution role
- baseline and assessment of policy options
- Contribution details
AMADEUS-METIS has been used to indicate high-level cost-effective decarbonisation pathways for the energy and industry CO2 sectors. The AMADEUS and METIS models are soft-linked, such that detailed annual demand projections produced by AMADEUS are turned into hourly-sampled demand time series (e.g., for power, gas and hydrogen) for each year and country represented in METIS, from which cost-optimal energy supply pathways are computed.
2021SWD/2021/621 final
Impact assessment accompanying the Proposal for a Directive of the European Parliament and the Council: amending Directive (EU) 2018/2001 of the European Parliament and of the Council, Regulation (EU) 2018/1999 of the European Parliament and of the Council and Directive 98/70/EC of the European Parliament and of the Council as regards the promotion of energy from renewable sources, and repealing Council Directive (EU) 2015/652
- Lead by
- ENER
- Run by
- Artelys
- Contribution role
- baseline and assessment of policy options
- Contribution details
The model helped to assess the following impacts:
- Emission of greenhouse gases
- Economic incentives set up by market based mechanisms
- Fuel mix used in energy production
- Demand for transport
- Energy and fuel consumption
2021SWD/2020/346 final/2
Impact assessment accompanying the document Proposal for a Regulation of the European Parliament and of the Council: on guidelines for trans-European energy infrastructure and repealing Regulation (EU) No 347/2013
- Lead by
- ENER
- Run by
- European Commission
- Contribution role
- baseline and assessment of policy options
- Contribution details
The key outcomes of the REKK model were cross-checked with the internal METIS model run by JRC.
2017SWD/2017/0383 final
Impact assessment accompanying the document Commission Regulation (EU) No .../... on: establishing a Guideline on Electricity Balancing
- Lead by
- ENER
- Run by
- Artelys
- Contribution role
- baseline and assessment of policy options
- Contribution details
Used to assess the activation of balancing energy