Security of supply and retail competition in the European gas market.

Abada, Ibrahim; Massol, Olivier

doi:10.1016/j.enpol.2011.03.043

Cited by 29 publications

(16 citation statements)

References 16 publications

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“…More recent work by Markandya and Pemberton (2010), Abada and Massol (2011) as well as Eichner and Pethig (2013) elaborate on aspects of risk and uncertainty in energy markets to make the case for insufficient private risk hedging. However, compared with the bulk of literature on energy security indicators, there is a severe lack on economic research to assess the scope and magnitude of externalities with appropriate measures.…”

Section: Discussionmentioning

confidence: 99%

Sense and no(n)-sense of energy security indicators

Böhringer

Bortolamedi

2015

Ecological Economics

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Standard-Nutzungsbedingungen:Die Dokumente auf EconStor dürfen zu eigenen wissenschaftlichen Zwecken und zum Privatgebrauch gespeichert und kopiert werden.Sie dürfen die Dokumente nicht für öffentliche oder kommerzielle Zwecke vervielfältigen, öffentlich ausstellen, öffentlich zugänglich machen, vertreiben oder anderweitig nutzen.Sofern die Verfasser die Dokumente unter Open-Content-Lizenzen (insbesondere CC-Lizenzen) zur Verfügung gestellt haben sollten, gelten abweichend von diesen Nutzungsbedingungen die in der dort genannten Lizenz gewährten Nutzungsrechte. Terms of use: Documents in EconStor may AbstractEnergy security ranks high on the policy agenda of many countries. To improve on energy security, governments undertake regulatory measures for promoting renewable energy, increasing energy efficiency, or curbing carbon dioxide emissions. The impacts of such measures on energy security are typically monitored by means of so-called energy security indicators. In this paper, we show that the common use of wide-spread energy security indicators falls short of providing a meaningful metric.Regulatory measures to improve on energy security trigger ambiguous effects across energy security indicators. We conclude that a major pitfall of energy security indicators is the lack of a rigorous microeconomic foundation.

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Section: Discussionmentioning

confidence: 99%

Sense and no(n)-sense of energy security indicators

Böhringer

Bortolamedi

2015

Ecological Economics

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“…The dependence is the ratio between the foreign exports to North-Western Europe and the domestic consumption 3 . The natural gas dependence is expected to reach 70% around 2030, which will bring about important security of supply concerns [1]. However, these conclusions are to be considered cautiously because they are based on strong assumptions.…”

Section: Figurementioning

confidence: 99%

A Generalized Nash–Cournot Model for the Northwestern European Natural Gas Markets with a Fuel Substitution Demand Function: The GaMMES Model

et al. 2012

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This article presents a dynamic Generalized Nash-Cournot model to describe the evolution of the natural gas markets. The aim of this work is to provide a theoretical framework that would allow us to analyze future infrastructure and policy developments, while trying to answer some of the main criticisms addressed to Cournot-based models of natural gas markets. The major gas chain players are depicted including: producers, consumers, storage and pipeline operators, as well as intermediate local traders. Our economic structure description takes into account market power and the demand representation tries to capture the possible fuel substitution that can be made between the consumption of oil, coal and natural gas in the overall fossil energy consumption. We also take into account the long-term aspects inherent to some markets, in an endogenous way. This particularity of our description makes the model a Generalized Nash Equilibrium problem that needs to be solved using specialized mathematical techniques. Our model has been applied to represent the European natural gas market and forecast, until 2030, after a calibration process, consumption, prices, production and natural gas dependence. A comparison between our model, a more standard one that does not take into account energy substitution, and the European Commission natural gas forecasts is carried out to analyze our results. Finally, in order to illustrate the possible use of fuel substitution, we studied the evolution of the natural gas price as compared to the coal and oil prices. This paper mostly focuses on the model description.

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“…These studies have examined economic factors (e.g., economic growth) [14][15][16][17][18], social factors (e.g., legislation and politics) [19][20][21][22][23], technical factors (e.g., improved mining technology) [24][25][26], and external environment factors (e.g., geopolitics of natural gas and international environment) [27][28][29][30][31]. There have also been some integrated studies, both quantitative and qualitative, that have analyzed the impacts of multiple factors on a natural gas supply system.…”

Section: Literature Review Of Analysis Of Natural Gas Supply Systemmentioning

confidence: 99%

An Assessment of the Security of China’s Natural Gas Supply System Using Two Network Models

Zhang

Lü

2015

Energies

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Abstract:In the context of climate change, natural gas is becoming increasingly important for low-carbon development in China. The gap between the demand and supply of natural gas, domestically, and China's high dependence on foreign sources, highlights the importance of ensuring a secure system for supplying natural gas in the country. This study applied ecological network analysis, a powerful systems-oriented method, to simulate interactions between different nodes of the natural gas supply system and to evaluate the system's security level. Two network models were constructed at the regional and national layers, respectively, by dividing external natural gas suppliers into multiple regions and countries. These models were used to evaluate the overall security level and related characteristics of China's natural gas supply system from 2000 to 2012. The results showed stable improvement in the system's security during this period. With the exceptions of some specific indicators (e.g., the mutualism index (MI)), analyses of network information and structure yielded the mostly similar results for the two models. In conclusion, a regional layer (RL) network model is considered more economical than a national layer (NL) model for evaluating the overall security of China's natural gas supply system, especially when available data are limited.

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Security of supply and retail competition in the European gas market.

Cited by 29 publications

References 16 publications

Sense and no(n)-sense of energy security indicators

Sense and no(n)-sense of energy security indicators

A Generalized Nash–Cournot Model for the Northwestern European Natural Gas Markets with a Fuel Substitution Demand Function: The GaMMES Model

An Assessment of the Security of China’s Natural Gas Supply System Using Two Network Models

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