Repository logo
  • Log In
    New user? Click here to register.Have you forgotten your password?
University College Dublin
    Colleges & Schools
    Statistics
    All of DSpace
  • Log In
    New user? Click here to register.Have you forgotten your password?
  1. Home
  2. College of Engineering & Architecture
  3. School of Electrical and Electronic Engineering
  4. Electrical and Electronic Engineering Research Collection
  5. Investment vs. Refurbishment: Examining Capacity Payment Mechanisms Using Stochastic Mixed Complementarity Problems
 
  • Details
Options

Investment vs. Refurbishment: Examining Capacity Payment Mechanisms Using Stochastic Mixed Complementarity Problems

Author(s)
Lynch, Muireann Á.  
Devine, Mel T.  
Uri
http://hdl.handle.net/10197/11049
Date Issued
2017-04-01
Date Available
2019-08-27T07:18:09Z
Abstract
Capacity remuneration mechanisms exist in many electricity markets. Capacity mechanism designs do not explicitly consider the effects of refurbishment of existing generation units in order to increase their reliability. This paper presents a stochastic mixed complementarity problem to examine the impact of refurbishment on electricity prices and generation investment. Capacity payments are found to increase reliability when refurbishment is not possible, while capacity payments and reliability options yield similar results when refurbishment is possible. Final costs to consumers are similar under the two mechanisms with the exception of the initial case of overcapacity.
Sponsorship
European Commission - European Regional Development Fund
Science Foundation Ireland
Other Sponsorship
Energy Policy Research Centre (EPRC)
Type of Material
Journal Article
Publisher
International Association for Energy Economics (IAEE)
Journal
The Energy Journal
Volume
38
Issue
2
Start Page
27
End Page
51
Copyright (Published Version)
2017 IAEEE
Subjects

Capacity markets

Reliability

Mixed complementarity...

Stochastic modelling

DOI
10.5547/01956574.38.2.mlyn
Language
English
Status of Item
Peer reviewed
ISSN
0195-6574
This item is made available under a Creative Commons License
https://creativecommons.org/licenses/by-nc-nd/3.0/ie/
File(s)
No Thumbnail Available
Name

LynchDevine.pdf

Size

741.59 KB

Format

Adobe PDF

Checksum (MD5)

28eb3e92c59e6ebcd8b129665e101280

Owning collection
Electrical and Electronic Engineering Research Collection

Item descriptive metadata is released under a CC-0 (public domain) license: https://creativecommons.org/public-domain/cc0/.
All other content is subject to copyright.

For all queries please contact research.repository@ucd.ie.

Built with DSpace-CRIS software - Extension maintained and optimized by 4Science

  • Cookie settings
  • Privacy policy
  • End User Agreement