SCCER CREST Phase 1

SCCER 5: Competence Center for Research in Energy, Society and Transition (CREST)

SCCER CREST will trigger and support innovation for the energy transition on the macro, meso, and micro level

  • providing analysis of drivers and barriers to energy efficiency and sufficiency schemes,
  • producing strategies to adjust to the new energy system,
  • developing innovative concepts and assessment tools for energy policies,
  • connecting researchers across disciplines and institutions,interacting with technical SCCERs.

 

 

Overview and Mission

The transition of the Swiss energy system envisioned in the energy strategy requires not only new technological solutions but also policies and institutions that support firms and regions in adjusting to the new conditions set by the energy transition.

The SCCER CREST will provide detailed, evidence-based and (where possible) field-tested recommendations for such policies and institutions. To this end, it brings together groups from 8 partner institutions (UniBas, UniGe, UniLu, UniNe, UniSG, ZHAW, ETHZ, EPFL) as well as academic research partners and cooperation partners from industry, public administration, NGOs and policy consulting.

The SCCER CREST will address all topics of the action area «Economy, Environment, Law, and Behaviour» and will ensure a close interdisciplinary cooperation within this field as well as a close cooperation with the other SCCERs. The leading house is at the University of Basel and the co-leading house at the ZHAW.

Research Framework

Research Framework
Research Framework

The research done in the SCCER CREST will be organized in three work packages that correspond to the three levels at which the transition of the Swiss energy system needs to occur (micro, meso, macro):

  • WP1 “Energy, Innovation, Management” (meso-level): Addressing the role of firms and regions for the energy transition, including innovation, new business models, investment, regional development, and social acceptance of new technologies.
  • WP2 “Change of Behaviour” (micro level): Addressing behavioural aspects of individual energy consumers to provide a better understanding and a quantification of determinants of energy consumption and insights on how to influence individuals to achieve demand efficiency objectives.
  • WP3 “Energy Policy, Markets and Regulation” (macro level) addresses the energy policy and energy market regulation from a legal, political and economic perspective.

This research is supported and connected by  three infrastructure – elements (see Figure 1):

  • The Knowledge Transfer Unit
  • The Simulation LAB
  • The Data Center

Partners & Governance Structure

Governance Structure (SCCER Board)
Governance Structure

The SCCER CREST steering structure consists of the SCCER Board, Work package leaders, and Task Coordinators which jointly coordinate and organize the research of the SCCER with support from academic research partners and cooperation partners (see Figure Governance Structure).

As the Co-Leading house, the ZHAW is well positioned (two seats in the SCCER Board, Co-Lead WP1 and Task Coordinators) and is a strong research partners within the different work packages.

In addition the, ZHAW will organize a Knowledge Transfer Unit that facilitates collaboration between research groups, integrates cooperation partners, and supports dissemination of key results.

Main Areas of Research of the INE

Future energy systems FES (new research group): Research will focus on understanding the interdependencies within a complex socio-technical system on the meso-level of smart regional energy systems. It will integrate spatial context conditions, actor networks and technological symbiosis to improve the competitiveness of regional renewable energy solutions. Research will use a broad range of qualitative and quantitative methods (e.g. participative foresight methods, case studies, surveys, system analysis and design etc. Results will include a map of socio-technological and strategic options for different actors in a transforming regional energy system, qualitative and quantitative simulation models for smart regional energy systems, and recommendations for decision makers on transition phases (WP 1).