2012 9th International Conference on the European Energy Market 2012
DOI: 10.1109/eem.2012.6254819
|View full text |Cite
|
Sign up to set email alerts
|

A model-based analysis of the implications of shale gas developments for the European gas market

Abstract: Shale gas in Europe could potentially be a big thing, especially in particular regions. Whereas test drillings need to confirm the technical recoverability of deposits and further research is needed on the environmental and safety aspects of shale gas production, this paper illustrates that shale gas developments may have substantial implications for regional gas balances, gas flows, and infrastructure requirements throughout Europe in the next decades.

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
1

Citation Types

0
1
0

Year Published

2013
2013
2015
2015

Publication Types

Select...
2
1

Relationship

0
3

Authors

Journals

citations
Cited by 3 publications
(1 citation statement)
references
References 6 publications
0
1
0
Order By: Relevance
“…Various modelling methodologies have been deployed to model the gas market. Many studies formulate the gas market as a mixed complementarity problem (de Joode, Plomp, & Ozdemir, 2012;Gabriel et al, 2013;Hecking & Panke, 2012;Huppmann et al, 2011;Lochner & Bothe, 2009), in which gas market clearing is dealt with using mathematical optimization. Although this approach is widely used, it fails to capture long-term endogenous dynamics of gas markets.…”
Section: Modelling and Simulationmentioning
confidence: 99%
“…Various modelling methodologies have been deployed to model the gas market. Many studies formulate the gas market as a mixed complementarity problem (de Joode, Plomp, & Ozdemir, 2012;Gabriel et al, 2013;Hecking & Panke, 2012;Huppmann et al, 2011;Lochner & Bothe, 2009), in which gas market clearing is dealt with using mathematical optimization. Although this approach is widely used, it fails to capture long-term endogenous dynamics of gas markets.…”
Section: Modelling and Simulationmentioning
confidence: 99%