Project Tidal
A web app revolutionizing energy economics with geospatial computation and analytics, forecasting tidal power as a key to curbing rising energy costs and emissions.
Created on 11th February 2024
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Project Tidal
A web app revolutionizing energy economics with geospatial computation and analytics, forecasting tidal power as a key to curbing rising energy costs and emissions.
The problem Project Tidal solves
The government, corporations, and renewable energy enthusiasts all are able to make use of our application as it provides real-time data on the amount of renewable energy that can be produced at numerous locations around the world. Not only can users navigate our application's global map with fluidity, but they will be able to pinpoint locations with the potential for greater renewable energy production than others. Additionally, users are provided with the current amount of CO2 emission outputs across different countries as well as the amount that can be avoided at each location if renewable energy practices are utilized.
Challenges we ran into
We experienced many hurdles during web scraping as our data was limited to poorly designed websites. As a result, we had to deal with inconsistencies in the layout and the population of the desired data. For example, in the National Data Buoy Center website, we assumed that each buoy's webpage contained its collected measurements in the same HTML table format, but, instead, there were two vastly different formats that seemed to be used randomly among the buoys. We overcame this issue by taking advantage of the Beautiful Soup import to detect whether a buoy's webpage contained an HTML tag that is specific to one of the two formats.
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