7 papers
Optimization Under Uncertainty for Energy Infrastructure Planning: A Synthesis of Methods, Tools, and Open Challenges
Rahman Khorramfar, Aron Brenner, Lara Booth +4
Energy infrastructure planning under uncertainty has become increasingly complex as electrification, interdependence between energy carriers, decarbonization, and extreme weather e…
MacroEnergy.jl: A large-scale multi-sector energy system framework
Ruaridh Macdonald, Filippo Pecci, Luca Bonaldo +4
MacroEnergy.jl (aka Macro) is an open-source framework for multi-sector capacity expansion modeling and analysis of macro-energy systems. It is written in Julia and uses the JuMP p…
Techno-economic analysis of decarbonized backup power systems using scenario-based stochastic optimization
Jonas Schweiger, Ruaridh Macdonald
In the context of growing concerns about power disruptions, grid reliability and the need for decarbonization, this study evaluates a broad range of clean backup power systems (BPS…
Sectoral and spatial decomposition methods for multi-sector capacity expansion models
Federico Parolin, Yu Weng, Paolo Colbertaldo +1
Multi-sector capacity expansion models play a crucial role in energy planning by providing decision support for policymaking in technology development. To ensure reliable support,…
Effects of charging and discharging capabilities on trade-offs between model accuracy and computational efficiency in pumped thermal electricity storage
Taemin Heo, Ruaridh Macdonald
The increasing need for energy storage solutions to balance variable renewable energy sources has highlighted the potential of Pumped Thermal Electricity Storage (PTES). In this pa…
Improved formulation for long-duration storage in capacity expansion models using representative periods
Federico Parolin, Paolo Colbertaldo, Ruaridh Macdonald
With the increasing complexity and size of capacity expansion models, temporal aggregation has emerged as a common method to improve computational tractability. However, this appro…