h1

TY  - THES
AU  - Gotzens, Fabian Paul
TI  - Einflüsse von Klimavariabilität und -wandel auf Ausbau und Erzeugung im Europäischen Stromsystem
VL  - 531
PB  - RWTH Aachen University
VL  - Dissertation
CY  - Jülich
M1  - RWTH-2021-03559
SN  - 978-3-95806-530-7
T2  - Schriften des Forschungszentrums Jülich. Reihe Energie & Umwelt = Energy & environment
SP  - 1 Online-Ressource : Illustrationen, Diagramme, Karten
PY  - 2021
N1  - Druckausgabe: 2021. - Onlineausgabe: 2021. - Auch veröffentlicht auf dem Publikationsserver der RWTH Aachen University
N1  - Dissertation, RWTH Aachen University, 2020
AB  - Through the combustion of fossil fuels, humankind contributes to an increase in the concentration of CO2 in the earth’ atmosphere and, thus, to increasing global warming. This is known as anthropogenic climate change. One instrument for mitigating the consequences of climate change is the expansion of low-emission technologies such as renewable energies. Less research has, however, been done into the opposite direction of effect, i.e. whether and how climate change affects the energy system. Closely linked to this topic of long-term climate change is the so-called short-term climate variability, which is reflected e.g. in warmer/colder or windier/calmer years. The aim of this thesis is the supply and demand-side analysis of climate variability and change effects on the expansion (installed capacity) and the generation (amount of energy) in the European electricity system. For this purpose, a generation expansion planning model encompassing 28 countries has been developed, which is capable of calculating scenario-based development paths. For comparison with different climate scenarios, a general reference scenario has been modelled, which is based on all other input data and assumptions. Climate variability is represented by an algorithm-based selection of historical weather years from a more-than-30-year period of wind and photovoltaic time series. Furthermore, the study investigates how climate change affects the feed-in of wind turbines and the demand for electricity under rising ambient temperatures in Europe. This is done using spatially and temporally high-resolution projection data from Earth system models under various greenhouse gas concentration scenarios. It is shown that although climate variability plausibly influences the model results in the direction of impact, the deviations from the reference scenario are in the low, single-digit range (< 3
LB  - PUB:(DE-HGF)11 ; PUB:(DE-HGF)3
DO  - DOI:10.18154/RWTH-2021-03559
UR  - https://publications.rwth-aachen.de/record/816937
ER  -