Abstract
In this paper we will present a newly written energy calculator built as a project between CICESE and the State Energy Commission of Baja California. The system runs server side and is written in PHP and Python storing its data on a MySQL database. The user interface allows the user to input their geographic location, and electrical energy use history. The user can then choose from a virtual warehouse of photovoltaic systems offered by local installers. Using astronomical algorithms, and weather station data the system generates a list of solar intensity values and calculates the response of chosen photovoltaic. The final values calculated are the cost predictions for the next 20 years. Because of its open-source nature, then system can be easily expanded to include wind power systems, carbon production, and ever gas and water usage. The primary user for this system is the general public with hopes that they will become educated on their energy use, and the potential effects of new photovoltaic installations.
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