A blog about how data and its visualization can help interpret environmental issues.
Starting from version 0.9.1 of the pvlib-python library, the development of the energy yield forecasting module for photovoltaic installations based on weather data from a wide range of weather models has been discontinued. Unfortunately, the API interface to access the models has changed, and no one volunteered to adapt the pvlib.Forecast module. However, this does…
Netflix’s “Big Water,” which was watched by more than 10 million households worldwide, reminded us of the catastrophic events of 25 years ago, when a huge flood wave was approaching Wroclaw (a big city in the southern part of Poland), and which consequently led to the flooding of parts of the city. Of course, this…
Perhaps I can start by saying that the energy generated from renewable energy sources is directly related to meteorological factors such as rainfall, wind, solar radiation, etc. If the sun shines we get energy from photovoltaic installation. If it rains we collect water for hydroelectric power plants, and if the wind blows it drives us…
While preparing material for students for a seminar on renewable energy sources, I came across an interesting dataset that now I am happy to share with you through this post. The Energy collection could be found at https://ourworldindata.org/energy. It is interesting not only because of its constant updating by the authors, but also because of…