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Harder, better, faster, stronger: understanding and improving the tractability of large energy system models

Energy system models based on linear programming have been growing in size with the increasing need to model renewables with high spatial and temporal detail. Larger models lead to high computational requirements. Furthermore, seemingly small changes …

PAM: Population Activity Modeller

Shone et al., (2024). PAM: Population Activity Modeller. Journal of Open Source Software, 9(96), 6097, https://doi.org/10.21105/joss.06097

Economy-wide impacts of socio-politically driven net-zero energy systems in europe

Net-zero energy system configurations can be met in numerous ways, implying diverse economic effects. However, what is usually ignored in techno-economic and economy-wide analysis are the distinct social-political drivers and barriers, which might …

What is redundant and what is not? Computational trade-offs in modelling to generate alternatives for energy infrastructure deployment

Given the urgent need to devise credible, deep strategies for carbon neutrality, approaches for ‘modelling to generate alternatives’ (MGA) are gaining popularity in the energy sector. Yet, MGA faces limitations when applied to state-of-the-art energy …

Overcoming the disconnect between energy system and climate modeling

Diversity of options to eliminate fossil fuels and reach carbon neutrality across the entire European energy system

Disagreements persist on how to design a self-sufficient, carbon-neutral European energy system. To explore the diversity of design options, we develop a high-resolution model of the entire European energy system and produce 441 technically feasible …

Open energy system modelling to support the European Green Deal

Energy models are used to explore decarbonisation pathways and potential future energy systems. In this editorial, we comment on the importance of energy system modelling and open tools to inform policymaking in the context of the European Green …

Trends in Tools and Approaches for Modelling the Energy Transition

Energy system models are crucial to plan energy transition pathways and understand their impacts. A vast range of energy system modelling tools is available, providing modelling practitioners, planners, and decision-makers with multiple alternatives …

Quantifying Resilience in Energy Systems with Out-of-Sample Testing

The need to design resilient energy systems becomes ever more apparent as we face the challenge of decarbonising through reliance on non-dispatchable technologies and sectoral integration. Increasingly, modelling efforts focus on improving system …

Policy Decision Support for Renewables Deployment through Spatially Explicit Practically Optimal Alternatives