Navigating the Roadmap for Clean, Secure and Efficient Energy Innovation
The project has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No 691843 (SET-Nav).
SET-Nav Modelling Workshops
Top-Down Bottom-Up Hybrid Modeling, Trondheim, 24 - 25 November 2016
Modelling of Risk & Uncertainty in Energy Systems, Zurich, 29 March 2016
Aggregating load profiles from the power sector models towards use in large-scale energy-system and integrated assessment models, Vienna, 7 September 2017
- Methods of hybrid modelling in complementarity framework.
- Hands-on exercises of hybrid modelling in complementarity framework.
- Hybrid modelling in the TIMES-MARKAL model family.
- Applications of hybrid modelling.
Linking bottom-up sectoral (engineering) models with (macroeconomic) top-downmodels can be an important contribution for designing energy systems compatible with sustainable economic growth.
The paper discusses how an energy systems model for Norway, a regional economic model for Norway and an environmental and assessment tool will be linked to allow improved assessments of energy and climate policies
The workshop was a seminar style lectures on state-of-the-art modelling techniques and applications. It covered the following topics:
- State of the art approaches used in reliability, risk an uncertainty modelling in energy systems.
- Modelling methodologies for stochastic programming applications in energy systems.
The vulnerability of the energy carriers can have high impact on society with significant economic consequences. Therefore, the risk assessment of energy systems is extensively been performed by the research community and industry. Various approaches for modelling risk in energy systems are developed.
The paper elaborates on the definition of resilience, the need of resilience in critical independent infrastructures, and on resilience quantification.
As model linkage but also the degree of detail in high-resolution models are issues of increasing importance, load and generation profiles have attracted much attention. Modelling distinct aspects of the energy system requires different timescales, while decades are considered when analysing climate or environmental changes. Saved in time series, load and generation profiles deliver information about demand and supply of electricity. The model hour selection is a key assumption in such a modelling exercise.
The aim of the workshop was to better account for the stochastic nature of variable renewable energy sources and the challenges to large-scale models by the different timescales relevant for distinct aspects of the energy system (second-by-second energy balance in the power sector, while climate and environment models “think” in decades for changes to take effect).