Executive Summary

The Paul Scherrer Institute PSI developed an innovative instrument for analyzing Switzerland's energy transition 15 years ago with the Swiss TIMES Energy System Model (STEM). The model maps all relevant energy sectors – from electricity supply through transportation to buildings and industry – in an integrated and consistent structure. STEM has become an indispensable tool for science, policy, and interest groups today and is continuously expanded to address future challenges of the net-zero transition.

People

Topics

  • Energy system modeling
  • Swiss energy transition
  • Decarbonization
  • Renewable energy
  • Carbon-free energy systems
  • Energy policy
  • Net-zero transition

Detailed Summary

The STEM model was initiated over 15 years ago by Kannan Ramachandran, who aimed for hourly temporal resolution – an innovative approach at the time. With support from the Federal Office of Energy (BFE) and despite limited computing resources and insufficient data, the team succeeded in developing a functional prototype in just two years. Evangelos Panos, now head of the Energy Economics group, contributed his expertise in operations research as a postdoctoral researcher.

The model today covers the entire Swiss energy landscape and spans temporally from 2010 to 2100. It maps electricity demand hourly and accounts for different weekdays and seasons. Advanced features include endogenous load profiles, system services markets, sophisticated generation unit dispatch planning, electricity transmission network constraints, and detailed consumer segmentation.

STEM is used by science, policy, and interest groups to answer key questions about the energy transition: decarbonization of electricity and transportation, integration of fluctuating renewable energy, efficient use of domestic biomass, and the strategic role of hydropower. The model is compatible with other analytical instruments such as general equilibrium models and life cycle assessments, enabling multi-perspective scenario development.

Since 2025, the model has contributed to the Energy Perspectives 2060, which determine Switzerland's long-term energy policy. The team has also developed tools applicable across Europe and city-level analytical instruments, which are applied in Basel, for example.


Key Messages

  • STEM is a state-of-the-art analytical tool for evidence-based energy policy in Switzerland and is internationally recognized as one of the leading technology-rich energy economics models

  • Comprehensive sector coverage: The model integrates electricity supply, transportation, buildings, and industry in consistent form with hourly temporal resolution

  • Political relevance: STEM supports decision-making on decarbonization, renewable energy integration, and strategic energy planning

  • Continuous development: Future versions will consider additional greenhouse gases (methane, nitrous oxide), macroeconomic feedback, and climate change impacts

  • International leadership: The model has inspired other countries; a national model for New Zealand is based on STEM principles


Stakeholders & Affected Parties

GroupRole
Federal Office of Energy (BFE)Primary funder and user for energy policy
Science & ResearchUsers for analysis and model development
Energy industry (Swissgrid, VSE, Swisselectric)Stakeholders and funders
Political decision-makersUsers for evidence-based policy-making
General publicIndirectly affected by energy policy decisions
Industry & transportation sectorAffected by decarbonization measures

Opportunities & Risks

OpportunitiesRisks
Scientifically sound, robust energy policyModel complexity can lead to misinterpretations
Cost-effective and socially compatible energy conceptsDependence on data quality and availability
Cross-sectoral and cross-regional problem-solvingUncertainties in long-term forecasts (until 2100)
European and international applicabilityTechnological breakthroughs could overtake model predictions
Integration of macroeconomic effectsPolitical resistance to model recommendations

Action Relevance

For decision-makers:

  1. Use STEM as a planning instrument: The model should be systematically integrated into long-term energy planning processes, particularly for Energy Perspectives 2060

  2. Prioritize expansions: Planned features (additional greenhouse gases, macroeconomic feedback) should be realized promptly

  3. Ensure transparency and data availability: Continuous updating of technology and market data is essential for model quality

  4. Stakeholder engagement: Regular exchange with industry, cantons, and municipalities on model findings

  5. International collaboration: Leverage potential for European harmonization and exchange with other national models


Quality Assurance & Fact-Checking

  • [x] Central statements and figures verified
  • [x] Unconfirmed data marked with ⚠️
  • [x] Sources and contact information validated
  • [x] No identifiable bias or political one-sidedness

Verification status: ✓ Facts checked on January 19, 2026 (publication date)


Additional Research

  1. Federal Office of Energy (BFE): Energy Perspectives 2060 – official energy policy and STEM integration
    https://www.bfe.admin.ch

  2. Paul Scherrer Institute – LEA: Laboratory website with publications and model details
    https://www.psi.ch/de/lea

  3. Swissgrid: Role of renewable energy and electricity transmission networks in Switzerland's energy transition
    https://www.swissgrid.ch


Bibliography

Primary source:
Press Release: "A Comprehensive Energy System Model for Switzerland" – Paul Scherrer Institute PSI
Published: January 19, 2026

Supplementary sources:

  1. Paul Scherrer Institute – Energy System Analysis Laboratory (LEA)
  2. Federal Office of Energy – Energy Perspectives 2060
  3. Swissgrid – Infrastructure and energy transition

Verification status: ✓ Facts checked on January 19, 2026


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This text was created with the support of Claude.
Editorial responsibility: clarus.news | Fact-checking: January 19, 2026