DocumentCode
134993
Title
Analysis of upstream gas network constraints for power generation in Queensland
Author
Ruixiang Zeng ; Chattopadhyay, Deb ; Saha, Tapan K.
Author_Institution
Sch. of Inf. Technol. & Electr. Eng., Univ. of Queensland, Brisbane, QLD, Australia
fYear
2014
fDate
27-31 July 2014
Firstpage
1
Lastpage
5
Abstract
The degree of structural and operational integration between gas and electricity markets has increased sharply in the last decade internationally and also in Australia. This paper investigates the optimal gas production profile for the state of Queensland (QLD) in Australia, with a view to analyzing the ramifications of gas network constraints for large-scale gas-fired power generation (GPG). GPG is projected to grow significantly as part of the Australian government´s strategy to reduce carbon emissions and wind down coal-based generation. This paper employs a least-cost optimization using a linear programming (LP) model to understand the level of expansion that pipeline infrastructure would need to cope with forecast power generation demand. Results show the QLD gas network will reach capacity limits by 2015 at significant cost to the economy, demonstrating a need for further investment. There are significant network constraints that would render meeting demand from the power sector a major challenge.
Keywords
air pollution control; linear programming; power generation economics; power markets; thermal power stations; Australian government strategy; GPG; LP model; QLD gas network; Queensland; carbon emission reduction; electricity markets; forecast power generation demand; large-scale gas-fired power generation; least-cost optimization; linear programming model; optimal gas production profile; power generation; power sector; wind down coal-based generation; Australia; Economics; Electricity; Liquefied natural gas; Mathematical model; Pipelines; Production; Optimization; Power Generation; Production planning; Queensland Natural Gas;
fLanguage
English
Publisher
ieee
Conference_Titel
PES General Meeting | Conference & Exposition, 2014 IEEE
Conference_Location
National Harbor, MD
Type
conf
DOI
10.1109/PESGM.2014.6939062
Filename
6939062
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