]> 2026-04-18T11:39:23+02:00 HighRES 0 James Price, Marianne Zeyringer Zeyringer, M., Price, J., Fais, B., Li, P.-H. & Sharp, E. Designing low-carbon power systems for Great Britain in 2050 that are robust to the spatiotemporal and inter-annual variability of weather. Nat. Energy 3, 395–403 (2018) 60 all dispatch investment high spatial and temporal electricity system model Country level, 20 zones for GB true MIT license (MIT) Optimization Minimization of total system costs European electricity system model GB electricity system model false GAMS; CPLEX transmission net transfer capacities false true Python Electricity Renewables Conventional Generation The model is used to plan least-cost electricity systems for Europe and specifically designed to analyse the effects of high shares of variable renewables and explore integration/flexibility options. It does this by comparing and trading off potential options to integrate renewables into the system including the extension of the transmission grid, interconnection with other countries, building flexible generation (e.g. gas power stations), renewable curtailment and energy storage. highRES is written in GAMS and its objective is to minimise power system investment and operational costs to meet hourly demand, subject to a number of system constraints. The transmission grid is represented using a linear transport model. To realistically model variable renewable supply, the model uses spatially and temporally-detailed renewable generation time series that are based on weather data. Currently there is one version for Europe and one for GB. Hour 2022-02-11T09:21:03Z 2459621.8896181 2022-02-11T09:27:49Z 2459621.8943171 false HighRES