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     Research Journal of Applied Sciences, Engineering and Technology


Generation Capacity Expansion with CO2 Emission and Transmission Constraints in an Oligopolistic Market

1A.M.A.K. Abeygunawardana, 2Cristian Bovo, 3Majid Gholami and 4Alberto Berizzi
1School of Electrical Engineering and Computer Science, Queensland University of Technology, Australia
2, 3, 4Department of Energy, Politecnico di Milano, Italy
Research Journal of Applied Sciences, Engineering and Technology  2013  23:4474-4484
http://dx.doi.org/10.19026/rjaset.6.3455  |  © The Author(s) 2013
Received: March 01, 2013  |  Accepted: March 27, 2013  |  Published: December 15, 2013

Abstract

The European Union is committed to cut Greenhouse Gas emissions (GHGs) by 30% of 1990 levels by 2020; other countries are committed to make similar reductions under a global agreement. Some technical options are available on the supply side, to reduce GHG and other harmful emissions by the power sector. Therefore, it is important to analyze what type of power generation technologies will be chosen by companies under different CO2 mitigation targets. Several models look into Generation Expansion Planning in oligopolistic markets; however, they do not consider the impact of CO2 reduction targets and the transmission constraints together. This study presents a Generation Expansion planning model with transmission constraints for analyzing the implications of CO2 emission mitigation constraints for investment decisions in oligopolistic electricity markets. The results of the model are presented with reference to the Italian power sector, responsible for 32% of national CO2 emissions.

Keywords:

CO2 capture and storage, cournot model, generation expansion planning, GHG mitigation, oligopolistic market,


References


Competing interests

The authors have no competing interests.

Open Access Policy

This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.

Copyright

The authors have no competing interests.

ISSN (Online):  2040-7467
ISSN (Print):   2040-7459
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