Assessment of least-cost pathways for decarbonising Europe's power supply : a model-based long-term scenario analysis accounting for the characteristics of renewable energies

This work analyses technological least-cost pathways for deep emission reductions in the European power sector. It seeks a better understanding of the role renewable energies play in the transformation process up to 2050. Therefore, a model is developed which optimises capacity expansion and hourly...

Full description

Bibliographic Details
Main Author: Pfluger, Benjamin
Format: eBook
Language:English
Published: KIT Scientific Publishing 2013
Subjects:
Online Access:
Collection: Directory of Open Access Books - Collection details see MPG.ReNa
LEADER 01902nma a2200385 u 4500
001 EB001971897
003 EBX01000000000000001134799
005 00000000000000.0
007 cr|||||||||||||||||||||
008 210512 ||| eng
020 |a 1000037155 
020 |a 9783731501336 
100 1 |a Pfluger, Benjamin 
245 0 0 |a Assessment of least-cost pathways for decarbonising Europe's power supply : a model-based long-term scenario analysis accounting for the characteristics of renewable energies  |h Elektronische Ressource 
260 |b KIT Scientific Publishing  |c 2013 
300 |a 1 electronic resource (XVI, 223 p. p.) 
653 |a optimisation 
653 |a Business strategy / bicssc 
653 |a renewable energy 
653 |a long-term scenarios 
653 |a Stromsystem 
653 |a Erneuerbare Energie 
653 |a Klimaschutz 
653 |a LangfristszenarienPower system 
653 |a climate protection 
653 |a Optimierung 
041 0 7 |a eng  |2 ISO 639-2 
989 |b DOAB  |a Directory of Open Access Books 
500 |a Creative Commons (cc), https://creativecommons.org/licenses/by-sa/4.0/ 
024 8 |a 10.5445/KSP/1000037155 
856 4 0 |u https://www.ksp.kit.edu/9783731501336  |7 0  |x Verlag  |3 Volltext 
856 4 2 |u https://directory.doabooks.org/handle/20.500.12854/41451  |z DOAB: description of the publication 
082 0 |a 333 
082 0 |a 330 
520 |a This work analyses technological least-cost pathways for deep emission reductions in the European power sector. It seeks a better understanding of the role renewable energies play in the transformation process up to 2050. Therefore, a model is developed which optimises capacity expansion and hourly dispatch of both conventional and renewable power generation, transmission grids and storage facilities in all hours of the analysed years. The model is applied to four long-term scenarios.