v1.6

• Python version:
  • Adding support for Python 3.14
• Core:
  • Wind farms now support turbine locations in terms of longitude, lattitude. They will automatically be translated into
    a uniquely fixed UTM zone, stored in the global config object.
  • Turbines now carry an optional property wind_farm_name, intended for cases which model multiple wind farms. The WindFarm class offers a property wind_farm_names and a function get_wind_farm_mapping(), returning a mapping from wind farm names to turbine indices. This is for example used by layout plots with the choice annotate=3, which results in printing wind farm names instead of turbine indices.
• Algorithms:
  • New optional dict-type parameter write_nc for algo.calc_farm() and algo.calc_points(), allowing the parallel writing of results into multiple files without ever constructing the complete dataset in memory. If writing results to file is the only intention of the run, this is the recommended approach.
  • Introducing new parameter population_params to Downwind algorithm, for setting up a vectorized parameter study. This is based on a set of values for selected variables, which are then evaluated for each state. This is realized via the algorithm specific states class PopulationStates and turbine model class PopulationModel.
  • Reworking the Iterative algorithm, such that it now computes only non-converged states in each iteration. In general, this leads to a substantial speed-up.
  • Introducing new boolean parameter clear_mem to algo.calc_farm(), clearing memory after initiating the calculation. This is intended to be used when there is only one single call of that function, or any of the used models.
• Engines:
  • Now all engines have submit and await_result functions (which are trivial for serial engines), also usable by the user from the engine object, e.g. for parallel plotting during post-processing.
  • Adding support for parallel results writing via write_nc parameter, optionally without ever creating the full dataset in memory. Independent of writing, the futures of individual chunks are now computed directly when needed, no longer in advance.
  • Engines have a new boolean parameter progress_bar, and if set to False, they print the progress to terminal instead. This is recommended for runs on clusters.
  • Dropping XArrayEngine, since no longer compatible
• Inputs:
  • New farm layout input from_eww, reading wind farm input in EuroWindWakes format
  • New farm layout input from_wrf, reading a folder that contains wind farm input data in a format readable by WRF
  • New states NEWAStates, directly reading NEWA-WRF data files into foxes
• Models:
  • Addition of IEA37Gaussian wake model to the model book, requiring slight generalization of the Bastankhah2014 wake model class.
  • Adding default parameter wake models to the model book, following the papers: Bastankhah2014, TurbOPark.
• Utils:
  • Improved write_nc utility, now better data compression through the usage of appropriate encoding
• Examples:
  • New example parameter_study, demonstrating the setup of a parameter study
• Bug fixes:
  • Fix for max x selection in FieldDataNC, thanks @qzheng75
  • Fix for Sequential algorithm with non-updated chunk store data
  • Fix for TurbOPark wake model in the context of windio input files
  • Fix for bug with writing time stamps to NetCDF in write_nc

Full Changelog: https://github.com/FraunhoferIWES/foxes/commits/v1.6