My goal with this project was to build an animation of a horizontal stacked bar chart using Python. The inspiration and the data used for this came from the charts on the ourworldindata.org website [1]. I set a challenge for myself to see if I could build the same type of chart that is able … Continue reading Animated Stacked Bar Charts with Python and Matplotlib
The graphs below are a few simple visualisations using the Matplotlib library with the aim of showing how electricity generation in the United Kingdom has evolved in the last decade or so. Data were taken from official government statistics used in the annually published "Digest of UK Energy Statistics" reports [1]. This is my first … Continue reading Visualising Energy Data with the Matplotlib Python library
The field of energy harvesting focuses on the collection of ambient energy from the local environment that would otherwise be wasted. This ambient energy is predominantly found in three forms: kinetic energy from relative motion and vibrations, electromagnetic waves including radio waves, and heat dissipated from machines and electronics. Around 70% of the world’s generated … Continue reading Energy Harvesting with Thermoelectric Generators
Finding ways of generating reliable and sustainable energy will be a top priority for civilization in order to maintain our standard of living and economic development. The growth of developing nations will place an ever increasing demand for energy since generally, the annual energy use per capita is correlated with a country’s GDP per capita. … Continue reading The Future Potential of Nuclear Energy Technology
Constantine's Notes 