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Visualization of local energy communitie

Elgar, Peter and Tilman, Klaas (2019) Visualization of local energy communitie. Bachelor's Thesis, Computing Science.


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Purpose: The thesis finds and implements a solution for displaying decentralised electricity usage and production. The situation at hand is an increasing amount of decentralised produced electricity. Currently this energy is stored and excesses are being sold back to the grid. The problem is that a household would profit more if it could sell this electricity on its own terms or store it in some device. The thesis describes and elaborates this method of handling the flow of electricity and tries to find a good model for displaying this information. Identified energy sources are solar panels and wind turbines. Devices that can store electricity are cars and electric batteries. Methods: The model thus consists of the production of electricity, followed by trading electricity and lastly storing excesses in an external device. The thesis describes two implementations of this model: One visualising through a 2D interface and one visualising through a Sketchup plugin in 3D. The models can run simulations for an average day in December and July. Results: The 2D interface displays information through a web interface. The interface uses the google maps API to place icons on a map and uses polylines to display trading of electricity. Some more information is presented in the form of text on a side-window. The 3D Sketchup plugin models households, energy sources and energy devices as 3D objects. Through colour coding it is able to show how electricity exchange would be able to work. Finally, both the implementations can run simulations for two or eight houses. Conclusion: Lastly the thesis justifies the use of these type of visualisations by explaining that the quality of displaying information is more important than the quantity. Moreover, the implementations are superior to other possible methods, such as live graphs and a static web page

Item Type: Thesis (Bachelor's Thesis)
Supervisor nameSupervisor E mail
Degree programme: Computing Science
Thesis type: Bachelor's Thesis
Language: English
Date Deposited: 11 Jul 2019
Last Modified: 12 Jul 2019 11:11

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