energy; electricity generation; risk; energy systems modelling; science-society interface; socio-technical analysis; spatial analysis; public preferences; stakeholder preferences; expert elicitation
Xexakis Georgios, Hansmann Ralph, Volken Sandra P., Trutnevyte Evelina (2020), Models on the wrong track: Model-based electricity supply scenarios in Switzerland are not aligned with the perspectives of energy experts and the public, in Renewable and Sustainable Energy Reviews
, 134, 110297-110297.
SteinbergerFranziska, MinderTobias, TrutnevyteEvelina (2020), Efficiency versus Equity in Spatial Siting of Electricity Generation: Citizen Preferences in a Serious Board Game in Switzerland, in Energies
, 13(18), 4961.
Sasse Jan-Philipp, Trutnevyte Evelina (2019), Distributional trade-offs between regionally equitable and cost-efficient allocation of renewable electricity generation, in Applied Energy
, 254, 113724-113724.
Thormeyer Christoph, Sasse Jan-Philipp, Trutnevyte Evelina (2019), Spatially-explicit models should consider real-world diffusion of renewable electricity: Solar PV example in Switzerland, in Renewable Energy
Volken Sandra, Wong-Parodi Gabrielle, Trutnevyte Evelina (2019), Public awareness and perception of environmental, health and safety risks to electricity generation: an explorative interview study in Switzerland, in Journal of Risk Research
, 22(4), 432-447.
Xexakis Georgios, Trutnevyte Evelina (2019), Are interactive web-tools for scenario visualization worth the effort? An experimental study on the swiss electricity supply scenarios 2035, in Environmental Modelling & Software
Knoblauch Theresa A. K., Trutnevyte Evelina, Stauffacher Michael (2019), Siting deep geothermal energy: Acceptance of various risk and benefit scenarios in a Swiss-German cross-national study, in Energy Policy
, 128, 807-816.
Dubois Alexane, Holzer Simona, Xexakis Georgios, Cousse Julia, Trutnevyte Evelina (2019), Informed citizen panels on the Swiss electricity mix 2035: Longer-term evolution of citizen preferences and affect in two cities, in Energies
, 12(4231), 1-22.
Mohr Lukas, Burg Vanessa, Thees Oliver, Trutnevyte Evelina (2019), Spatial hot spots and clusters of bioenergy combined with socio-economic analysis in Switzerland, in Renewable Energy
, 140, 840-851.
Trutnevyte Evelina, Ejderyan Olivier (2018), Managing geoenergy-induced seismicity with society, in Journal of Risk Research
, 21(10), 1287-1294.
Volken Sandra P., Xexakis Georgios, Trutnevyte Evelina (2018), Perspectives of Informed Citizen Panel on Low-Carbon Electricity Portfolios in Switzerland and Longer-Term Evaluation of Informational Materials, in Environmental Science & Technology
, 52(20), 11478-11489.
Knoblauch Theresa A.K., Trutnevyte Evelina (2018), Siting enhanced geothermal systems (EGS): Heat benefits versus induced seismicity risks from an investor and societal perspective, in Energy
Trutnevyte Evelina, Azevedo Inês L (2018), Induced seismicity hazard and risk by enhanced geothermal systems: an expert elicitation approach, in Environmental Research Letters
, 13(3), 034004-034004.
Knoblauch Theresa, Stauffacher Michael, Trutnevyte Evelina (2018), Communicating low-probability high-consequence risk, uncertainty and expert confidence: Induced seismicity of deep geothermal energy and shale gas, in Risk Analysis
, 38(14), 694-709.
Trutnevyte Evelina, Berntsen Philip B. (2017), Ensuring diversity of national energy scenarios: Bottom-up energy system model with Modeling to Generate Alternatives
, 126, 886-898, International Energy Workshop, College Park, Maryland 126, 886-898.
DeCarolis Joseph, Daly Hannah, Dodds Paul, Keppo Ilkka, Li Francis, McDowall Will, Pye Steve, Strachan Neil, Trutnevyte Evelina, Usher Will, Winning Matthew, Yeh Sonia, Zeyringer Marianne (2017), Formalizing best practice for energy system optimization modelling, in Applied Energy
, 194, 184-198.
Wiemer Stefan, Kraft Toni, Trutnevyte Evelina, Roth Philippe (2017), “Good Practice” Guide for Managing Induced Seismicity in Deep Geothermal Energy Projects in Switzerland
, Swiss Seismological Service at ETH Zürich, Zurich.
Berntsen Philip B., Trutnevyte Evelina (2017), Ensuring diversity of national energy scenarios: Bottom-up energy system model with Modeling to Generate Alternatives, in Energy
Li F.G.N., Trutnevyte E. (2017), Investment appraisal of cost-optimal and near-optimal pathways for the UK electricity sector transition to 2050, in Applied Energy
Guivarch Celine, Lempert Robert, Trutnevyte Evelina (2017), Scenario techniques for Energy and Environmental Research: an overview of recent developments to broaden the capacity to deal with complexity and uncertainty, in Environmental Modelling & Software
, 97, 201-210.
Trutnevyte E., Wiemer S. (2017), Tailor-made risk governance for induced seismicity of geothermal energy projects: An application to Switzerland, in Geothermics
All electricity generation technologies create risks to society, such as global warming, induced seismicity, or severe industrial accidents. Scientific inquiry and wider energy debate often revolve around individual technologies. Such view gives an illusion that exclusion of one technology eliminates risks. As electricity demand is supplied by a technology portfolio, exclusion of one technology in fact means that this technology will need to be deployed elsewhere or that another technology will need to be used. The project aims at examining such cross-technology and spatial risk tradeoffs in the Swiss electricity portfolio. Multiple risks associated with the electricity generation technologies will be first modeled and mapped out, taking a broad and open view to risk, including known and uncertain consequences, known and uncertain likelihoods, and varying knowledge confidence. This information will be made accessible to the experts, stakeholders and the wider public by means of two interactive tools RISKMETERS (basic and spatially-explicit versions). RISKMETERS will then be used to measure expert, stakeholder and public preferences for the Swiss electricity portfolios in light of risks.To the society and economy the project will provide (i) new information about the risk tradeoffs in the Swiss electricity portfolio, (ii) two interactive and publically available tools RISMETERs for accessing this information, and (iii) improved understanding of the expert, stakeholder, and public preferences. These findings can inform the choice and siting of electricity generation technologies in Switzerland and thus contribute to finding socially viable and scientifically sound ways to implement the Energy Strategy 2050.