• norsk
    • English
  • English 
    • norsk
    • English
  • Login
View Item 
  •   Home
  • Fakultet for informasjonsteknologi og elektroteknikk (IE)
  • Institutt for elkraftteknikk
  • View Item
  •   Home
  • Fakultet for informasjonsteknologi og elektroteknikk (IE)
  • Institutt for elkraftteknikk
  • View Item
JavaScript is disabled for your browser. Some features of this site may not work without it.

Modeling low emission scenarios for the European power sector

Skar, Christian
Doctoral thesis
View/Open
Fulltext not available (Locked)
Fulltext (PDF) available (3.074Mb)
URI
http://hdl.handle.net/11250/2399924
Date
2016
Metadata
Show full item record
Collections
  • Institutt for elkraftteknikk [1561]
Abstract
The long-term ambition for the European power sector is to almost completely decarbonize

generation of electricity. There are potentially many ways of achieving this, however, assessing

an optimal transition to a low-carbon power system requires the use of advanced modeling tools.

This thesis presents a collection of papers addressing various topics related to capacity expansion

modeling of the European power system. The aim of the modeling is to evaluate cost-efficient

decarbonization strategies. The most significant contribution of this work is the development

of the European Model for Power system Investments (with high shares of) Renewable Energy,

EMPIRE. This is a multi-horizon stochastic programming model where investments are optimized

subject to operational uncertainty. The model simultaneously considers long-term and

short-term system dynamics, in addition to short-term operational uncertainty. Inclusion of all

these features is currently not used by any other capacity expansion model for the European

power sector.

The papers presented here focus on the formulation and applications of EMPIRE. Essentially

all the papers touch upon analysis of decarbonization pathways for the European power sector.

In addition, the role of carbon capture and storage (CCS) for decarbonizing the European power

sector is analyzed in one paper. In the same paper, an evaluation of support mechanisms for

enabling investments in demonstration CCS projects is presented. Another topic covered is

integration of global climate change mitigation strategies computed by an integrated assessment

model (IAM) in a study of the European power sector. This is handled through soft-linking of

the IAM called GCAM and EMPIRE. By linking top-down and bottom-up models in this way,

added detail can be provided to the IAM results. One paper presents a study where capacity

factors from EMPIRE are used in life cycle assessment of electricity generation technologies in

Europe. Improved estimations of utilization of different generation technologies can make the

LCA impact analysis more accurate.

In addition to the aforementioned topics, the thesis presents a contribution to the development

of convergence improvements for the Benders decomposition method applied to large-scale power

system investment planning problems. Also, a technique for improved handling of seasonal

storage in power system capacity expansion models is discussed.

The modeling studies show that large-scale deployment of wind power and carbon-capture

and storage is the most cost-efficient approach to decarbonize the European power sector. Intermittent

power generation should be built where the production potential is highest, and the

transmission system should be reinforced to be able to balance large fluctuations in renewable

production. If the transmission system is not developed, CCS becomes more important in the

decarbonization as less wind power can be deployed. In order to secure investments in demonstration

CCS plants financial support policies are needed. Investments in solar PV are limited in

these studies, suggesting that additional cost reductions are needed for the technology to become

competitive without support policies.
Has parts
Paper A: Skar, Christian; Doorman, Gerard L.; Tomasgard, Asgeir. The future European power system under a climate policy regime. I: ENERGYCON 2014 : IEEE conference proceedings 2014 s. 318-325 - Is not included due to copyright available at http://dx.doi.org/10.1109/ENERGYCON.2014.6850446

Paper B: Skar, Christian; Doorman, Gerard L.; Tomasgard, Asgeir. Large-scale power system planning using enhanced Benders decomposition. I: 18th Power system Computations Conference - PSCC 2014. Curran Associates, Inc. 2014. s. 89-95 - Is not included due to copyright available at http://dx.doi.org/10.1109/PSCC.2014.7038297

Paper C: Brovold, Sondre; Skar, Christian; Fosso, Olav B. Implementing Hydropower Scheduling in a European Expansion Planning Model. I: Renewable Energy Research Conference, RERC 2014. Energy Procedia Vol 58, s.117-122 http://dx.doi.org/10.1016/j.egypro.2014.10.417 (CC BY-NC-ND 3.0)

Paper D: Skar, C., G. L. Doorman, G. A. Pérez-Valdés, and A. Tomasgard. 2016. “A multihorizon stochastic programming model for the European power system.” CenSES Working paper 2/2016

Paper E: Skar, C., G. L. Doorman, G. Guidati, C. Soothill, and A. Tomasgard. 2016. “Modeling transitional measures to drive CCS deployment in the European power sector.” CenSES Working paper 1/2016

Paper F: Bouman, E. A., C. Skar, and E. G. Hertwich. 2016a. “Informing LCA of electricity technologies with a power market model.” - Is not included due to copyright
Publisher
NTNU
Series
Doctoral thesis at NTNU;2016:198

Contact Us | Send Feedback

Privacy policy
DSpace software copyright © 2002-2019  DuraSpace

Service from  Unit
 

 

Browse

ArchiveCommunities & CollectionsBy Issue DateAuthorsTitlesSubjectsDocument TypesJournalsThis CollectionBy Issue DateAuthorsTitlesSubjectsDocument TypesJournals

My Account

Login

Statistics

View Usage Statistics

Contact Us | Send Feedback

Privacy policy
DSpace software copyright © 2002-2019  DuraSpace

Service from  Unit