denis-bz

Callback to track and stop scipy solve_ivp

Keywords: scipy solve_ivp callback ODE ordinary-differential-equation IVP initial-value-problem python

Purpose

add a callback function to the scipy ODE solver solve_ivp, so that you can

print progress at each timestep
tell the solver to stop if h is too small or KeyboardInterrupt or ..., and return the sol so far.

Cosmopy: clip and regrid COSMO_REA6 wind data to python numpy

Keywords: Cosmo_rea6 DWD wind-data python numpy

Purpose: DWD, the German Meteorological Service, has wind data for Europe on a 6 x 6 km grid, from 1995 to August 2019, hourly, at heights 10 100 .. 200m. These are in 2 gigabyte files like
https://opendata.dwd.de/climate_environment/REA/COSMO_REA6/converted/hourly/2D/WS_100m.2D.201908.nc4
-- windspeed data at 100m for 2019 August.

Old mst.py with Kruskal's algorithm

mst.py is simple old (2011) code for MSTs using Kruskal's algorithm -- see the animation there.

Kleinberg-Tardos:

single-link k-clustering == MST k-1 most expensive edges

but min( max spacing ), Theorem 1, may be wrong or at least odd for k-clustering ?

Windspeeds in Bayern, COSMO_REA6 vs. ERA5

Here are plots of average windspeeds in Bayern in January 2018 at 100m,
COSMO_REA6 on its ~ 6 × 6 km grid
ERA5 on its 0.25° × 0.25° grid.
We see big differences over the Alps in the south and over hilly areas in north Bayern.

Wind speeds at 100m in Bayern, ERA5 vs. globalwindatlas

Keywords: wind power, Germany, python, ERA5, globalwindatlas

Purpose: look at windspeed estimates at 100m in Bayern from two different sources:
ERA5: https://confluence.ecmwf.int/display/CKB/ERA5
GWA: https://globalwindatlas.info/area/Germany/Bayern

How efficient are wind, sun, biomass in the German provinces in 2019 - 2020 ?

Keywords: Renewable energy, wind energy, electricity, Germany

Purpose: look at the efficiency of electricity produced in the German provinces from sun, wind and biomass, with files from official data:
LAK, real: https://www.lak-energiebilanzen.de 2019, Länderarbeitskreis Energiebilanzen Bruttostromerzeugung nach Erneuerbaren Energieträgern
BMWK, max 31.12.2020,

Windspeeds and capacity factors in the Netherlands from wikipedia, KNMI and globalwindatlas

Keywords: wind, wind farm, wind speed, capacity factor, onshore, Netherlands, globalwindatlas, GWA, KNMI

What I want to do is show my neighbors around Munich that windfarms make more sense where there's more wind. GWA has a nice GUI, which everyone can understand. But are their wind speed and capacity factors accurate enough to convince anyone ?

nl.wikipedia Windturbines_in_Nederland,

Introduction to Netherlands wind data with xarray

Keywords: Netherlands, wind, wind speed, KNMI, python, xarray, data-carpentry

Purpose: introduce Netherlands wind data from KNMI, the Royal Netherlands$ Meteorological Institute, with the steps:

download 2 \.nc files by hand, one day and one gridpoint
look at them in xarray

Windspeeds and windfarms in Bayern

Keywords: wind power, Germany, Bayern, globalwindatlas, GWA

Purpose: I'm trying to show my neighbors around Munich that windfarms make more sense where there's more wind. To this end, here's a map of GWA windspeeds at 150m, together with the sites of 202 windfarms in Bayern:

	# from: marktstammwind.py
	# 1 Jan 2025 16:10z ~bz etc/de/marktstamm

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	Windmills planned in Germany
	from https://www.marktstammdatenregister.de Gesamtdatenexport_20241231_24.2.zip
	read_csv data/EinheitenWind.csv -> (30781, 13)
	AGS State KW Lon Lat Thi Rotor Date Plandate Lkr Place Type Name
	27 1004 SH 5700 10 54 125 149 NaN 2026-11-11 Neumün... Tasdorf N149/5.7 Triane...
	28 1004 SH 5700 10 54 125 149 NaN 2026-11-11 Neumün... Tasdorf N149/5.7 Triane...