Renewables.ninja allows users to run simulations of the hourly power output from wind and solar power plants located anywhere in the world. I envisioned, designed, and am leading the implementation of the software. Continued development of the platform and underlying scientific models is happening in close collaboration with Iain Staffell. See www.renewables.ninja for more info and github.com/renewables-ninja for code.
Calliope is a multi-scale energy systems modeling framework using a modern and open source Python-based toolchain. I created Calliope during my PhD and continue to lead its further development. See www.callio.pe for more info and github.com/calliope-project/calliope for code.
This is a non-exhaustive overview of some of the current (mostly externally funded) research projects happening in my group.
ECEMF, the European Climate and Energy Modelling Forum, has dual aims. The long-term goal is to establish a permanent forum to connect policymakers with energy and climate researchers. In the short-term, a funded European research project is also developing a model-based evidence base to inform European climate and energy policy. One of the models used in the project is the Sector-Coupled Euro-Calliope model, which is developed in our group.
JustWind4All (Just and effective governance for accelerating wind energy) is a European research project to improve the planning of on- and offshore wind energy deployment, including novel technologies like airborne wind. The consortium is built around a trans-disciplinary approach with a range of methods, and a particular focus on social science. Our group provides energy system modelling input to determine where and how different wind energy technologies can play a valuable role.
SEEDS means Stakeholder-Based Environmentally-Sustainable and Economically Doable Scenarios for the Energy Transition. In this project coordinated by my group, a consortium of four European institutions is building an approach to integrate humans into energy transition scenario design, while accurately modelling the relevant technical, economic and environmental constraints. We do this for several case studies in Portugal. One cornerstone of the project is that we go beyond modelling a single optimal solution, by using the SPORES near-optimal solutions algorithm developed by Francesco Lombardi in the course of working with my group.
SWEET PATHFNDR is a consortium funded by the Swiss Federal Office of Energy to develop pathways towards an efficient, flexible, resilient, cost-effective, and sustainable Swiss energy system by 2050. Within this future, our main goal is to develop and analyze transition pathways for renewable energy integration in Switzerland. My group is contributing pathways and scenarios at the European level as the context within which Swiss decisions must take place.
Wind power in Switzerland faces difficulties due to perceptions of low productivity, difficult project approval, and resistance due to landscape impact. Yet exploiting wind may be a critical component of a successful Swiss energy transition. In the WindSPORES project (Policy-relevant wind power deployment scenarios for Switzerland), we develop wind deployment scenarios that minimize perceived negative impacts. We provide a range of options for policy and planning to select from based on decision-makers' priorities.
RE-INTEGRATE (Re-thinking of approaches and toolkits for transdisciplinary integrated assessment of climate-compatible energy strategies from the African Union through to the European Union) is a European project to support the transfer of modelling expertise from the EU to Africa. A range of European and African partner institutes are involved on the modelling side. Our group’s contribution includes analysing the policy needs that models are asked to fulfil and to develop participatory modelling approaches to consider aspects often neglected in energy system modelling.
SENTINEL (Sustainable Energy Transitions Laboratory) was a European project to develop a new set of energy modelling tools, able to represent and analyse the drivers and barriers to complete decarbonisation, including decentralisation, a large-scale expansion of fluctuating renewable power leading to a vastly increased need for system-side flexibility, sector-coupling including the electrification of mobility and heating, and the impacts of different market designs on the behaviour of energy sector actors. To achieve this, a range of very different models were connected together to jointly answer questions that a single model cannot tackle.
The variability of wind power is a key challenge for its successful integration into the electricity grid. The WindVar (Spatial-temporal variability of wind energy potential in Switzerland and neighbouring countries) project was aimed at quantifying wind power variability at high spatial resolution across Switzerland and neighbouring countries at different timescales, in order to reach a better understanding of the market value of Swiss wind power in the medium-term future, depending on its complementarity with wind power from other regions in Europe.