Integration of Bottom-Up and Top-Down Market Model; Renewable Energy Potential; Electricity Grids; Electricity Grids; Market Design; Flexibility Markets; Capacity Markets; Electricity Markets; RES Integration
Buffat René, Raubal Martin (2019), Spatio-temporal potential of a biogenic micro CHP swarm in Switzerland, in Renewable and Sustainable Energy Reviews
, 103, 443-454.
Abrell Jan, Kosch Mirjam, Rausch Sebastian (2019), Carbon abatement with renewables: Evaluating wind and solar subsidies in Germany and Spain, in Journal of Public Economics
, 169, 172-202.
Garrison Jared B., Demiray Turhan, Abrell Jan, Savelsberg Jonas, Weigt Hannes, Schaffner Christian (2018), Combining Investment, Dispatch, and Security Models - An Assessment of Future Electricity Market Options for Switzerland, in 2018 15th International Conference on the European Energy Market (EEM)
, LodzIEEE, USA.
Buffat René, Grassi Stefano, Raubal Martin (2018), A scalable method for estimating rooftop solar irradiation potential over large regions, in Applied Energy
, 216, 389-401.
Veronesi Fabio, Schito Joram, Grassi Stefano, Raubal Martin (2017), Automatic selection of weights for GIS-based multicriteria decision analysis: site selection of transmission towers as a case study, in Applied Geography
, 83, 78-85.
Savelsberg Jonas (2017), Nuclear and coal moratoria effects on the European electricity system, in 2017 14th International Conference on the European Energy Market (EEM)
, Dresden, GermanyIEEE, USA.
Veronesi F, Grassi S (2016), Generation and Validation of Spatial Distribution of Hourly Wind Speed Time-Series using Machine Learning, in Journal of Physics: Conference Series
, 749, 012001-012001.
Abrell Jan, Rausch Sebastian (2016), Cross-country electricity trade, renewable energy and European transmission infrastructure policy, in Journal of Environmental Economics and Management
, 79, 87-113.
Buffat René (2016), Feature-Aware Surface Interpolation of Rooftops Using Low-Density Lidar Data for Photovoltaic Applications, Springer International Publishing, Cham, 337-350.
Veronesi F., Grassi S., Raubal M. (2016), Statistical learning approach for wind resource assessment, in Renewable and Sustainable Energy Reviews
, 56, 836-850.
Eser Patrick, Singh Antriksh, Chokani Ndaona, Abhari Reza S. (2016), Effect of increased renewables generation on operation of thermal power plants, in Applied Energy
, 164, 723-732.
KorfiatiAthina, GkonosCharalampos, VeronesiFabio, GakiAriadni, GrassiStefano, SchenkelRoland, VolkweinStephan, RaubalMartin, HurniLorenz (2016), Estimation of the Global Solar Energy Potential and Photovoltaic Cost with the use of Open Data, in International Journal of Sustainable Energy Planning and Management
, 9, 17-30.
Veronesi Fabio, Grassi Stefano (2015), Comparison of hourly and daily wind speed observations for the computation of Weibull parameters and power output, in 2015 3rd International Renewable and Sustainable Energy Conference (IRSEC)
, Marrakech, MoroccoIEEE, USA.
Buffat Rene, Grassi Stefano (2015), Validation of CM SAF SARAH solar radiation datasets for Switzerland, in 2015 3rd International Renewable and Sustainable Energy Conference (IRSEC)
, MarrakechIEEE, USA.
Eser Patrick, Singh Antriksh, Chokani Ndaona, Abhari Reza S. (2015), High resolution simulations of increased renewable penetration on Central European transmission grid, in 2015 IEEE Power & Energy Society General Meeting
, Denver, CO, USAIEEE, USA.
Marseglia G.R., Arbasini A., Grassi S., Raubal M., Raimondo D.M. (2015), Optimal placement of wind turbines on a continuous domain: An MILP-based approach, in 2015 American Control Conference (ACC)
, Chicago, IL, USAIEEE, USA.
In the joint umbrella project "Assessing Future Electricity Markets" (AFEM) three main questions will be answered: 1.) How will the Swiss and European electricity market evolve if the existing market mechanism (energy only market, reserve market) be perpetuated as is? 2.) How will the market evolve if additional market components such as capacity markets are introduced? 3.) How do future market models need to be designed in order to give the “right” investment incentive (e.g., flexibility markets) for an efficient yet carbon-free electricity supply system? The goal of the first two research questions is to first analyse the current design of the electricity market in Europe today and then identify shortcomings both of the existing setup and of already discussed additions (such as capacity markets or capacity payments). This involves identifying the necessary and suitable assumptions and simplifications in order to be able to model the specific behaviour of market participants while limiting the complexity to a feasible level.The third research question will be answered by developing new models which enable analysing the specific behaviour of future electricity supply systems in which renewable energy sources (RES) are likely to be deployed at large scale. The high amount of variable electricity production mainly from wind and photovoltaic generation units will increase the dynamic fluctuation within the overall system significantly. The models being developed within AFEM need to be able to take these fluctuations into account in order to e.g. study the behaviour of a proposed flexibility market or other new market designs. Such a market would allow the valuation of specific dynamic capability of power generation (e.g., pumped-hydro storage), demand-side management (DSM) and storage (e.g., batteries, power-to-gas) technologies. The proposed market models will be evaluated according to the energy and climate goals set by the “Energy Strategy 2050” of the Federal Council. In order to be able to answer the research questions the models to be developed will feature the combination of bottom-up (fundamental markets) and top-down (macro economic) models. All modelling (supply and demand, grid, and market models) will take the whole European electricity system into account while focusing on the specific situation within Switzerland. The proposed market models will be evaluated according to the energy and climate goals set by the “Energy Strategy 2050”. The project will feature the combination of bottom-up (fundamental markets) and top-down (macro economic) models. All models (supply and demand, grid, and market models) will take the whole European electricity system into account while focusing on the specific situation within Switzerland. The project has a focus on the development of large-scale market models. A tight collaboration with the partners will be pursued during the entire project period. There will be three industry partners: ewz, the utility of the City of Zurich, Swissgrid, the Swiss Transmission System Operator (TSO), and Alpiq, a leading Swiss generation company. They will provide input data, be members of the advisory board and have a strong interest in the project (see attached support letters). The project partners are furthermore involved in SCCER FURIES (“Future Swiss Electrical Infrastructure”), SCCER SoE (“Supply of Electric Energy”), SCCER CREST (“Competence Center for Research in Energy, Society, and Transition”) and SCCER “Efficient concepts, processes and components in mobility” ensuring a close coordination between those important research fields. These mentioned partners will provide know-how, input data and market needs to the sub-projects tasks, facilitating the technology improvement and the identification of market deployment opportunities.The AFEM project has been set up as a cross-disciplinary project in order to cope with the main issues faced in the design of a future electricity market.