Model for Greenhouse Gases prediction in Europe based on Energy Production. Present Situation and Solutions
Visualitza/Obre
Thellier_Paul_Report.pdf (7,449Mb) (Accés restringit)
Estadístiques de LA Referencia / Recolecta
Inclou dades d'ús des de 2022
Cita com:
hdl:2117/180711
Realitzat a/ambInstitut universitaire de technologie de Béthune
Tipus de documentTreball Final de Grau
Data2019-06-19
Condicions d'accésAccés restringit per decisió de l'autor
Tots els drets reservats. Aquesta obra està protegida pels drets de propietat intel·lectual i
industrial corresponents. Sense perjudici de les exempcions legals existents, queda prohibida la seva
reproducció, distribució, comunicació pública o transformació sense l'autorització del titular dels drets
Abstract
Energy production is one of the largest sectors in terms of the emission of greenhouse
gases (GHG), both in a direct form and indirectly.
In this project, I will study the different sources of energy production that emit GHG
here; in particular, sources that produce carbon dioxide (CO2) as well as the use of
this energy that also generates CO2.
The study will evaluate quantitatively those emissions in different European countries
during the last few years. This data will be used as a basis to create a model to forecast
the emission of CO2 in the atmosphere and predict the rate of change of those
emissions in different scenarios, mainly, what happens when a crisis occurs in Europe
and when countries try to change their energy production from fossil fuels to
renewables.
To create the models I had to know what a model is, how it works and how to create
one because there are two mains types of model.
Therefore, I first had to learn what a model is.
A model is a three-dimensional representation of a person or thing or of a proposed
structure, typically on a smaller scale than the original.
To create a model, I needed data and so I researched the data by country, starting
with France. The statistical data that I found is regarding electricity generation by fuel
from the years 1990 to 2016. With electricity generation and a rule of three, we can
determine how much KtCO2 is produced by fuel type and by year. I used excel for all
of my calculations and data storage, and, thanks to this method, I could easily import
the data on matlab and save it with extension: “.mat”.
With matlab identification toolbox I transformed a part of my data as iddata, which is
Time-data. Then I could create a nonlinear model by choosing its order and afterwards,
plot it.
MatèriesGreenhouse gases, Force and energy, Carbon dioxide, Fuel, Gasos d'efecte hivernacle, Energia -- Producció, Anhídrid carbònic, Combustibles -- Aspectes ambientals
TitulacióMOBILITAT INCOMING
Fitxers | Descripció | Mida | Format | Visualitza |
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Thellier_Paul_Report.pdf | 7,449Mb | Accés restringit |