Energy Security: A Robust Optimization Approach to Design a Robust European Energy Supply via TIAM-WORLD

Energy supply routes to a given region are subject to random events, resulting in partial or total closure of a route (corridor). For instance, a pipeline may be subject to technical problems that reduce its capacity. Or, oil supply by tanker may be reduced for political reasons or because of equipm...

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Veröffentlicht in:	Environmental modeling & assessment Jg. 17; H. 1-2; S. 19 - 37
Hauptverfasser:	Babonneau, Frédéric, Kanudia, Amit, Labriet, Maryse, Loulou, Richard, Vial, Jean-Philippe
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Dordrecht Springer Netherlands 01.04.2012 Springer Springer Nature B.V
Schlagworte:	Alternative energy sources Analysis Applications of Mathematics Climate change Consumption Corridors Diversification Earth and Environmental Science Energy industry Energy management Energy policy Energy resources Energy security Environment Environmental policy Equipment costs Geopolitics Math. Appl. in Environmental Science Mathematical Modeling and Industrial Mathematics Mathematical models Operations Research/Decision Theory Optimization Optimization techniques Petroleum pipelines Programming Safety and security measures Security Studies Suppliers Tankers Uncertainty France Energy supply Robust optimization TIAM-WORLD Ambiguous chance constraint programming
ISSN:	1420-2026, 1573-2967
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Zusammenfassung:	Energy supply routes to a given region are subject to random events, resulting in partial or total closure of a route (corridor). For instance, a pipeline may be subject to technical problems that reduce its capacity. Or, oil supply by tanker may be reduced for political reasons or because of equipment mishaps at the point of origin or again, by a conscious decision by the supplier in order to obtain economic benefits. The purpose of this article is to formulate a simplified version of the above issue that mainly addresses long-term uncertainties. The formulation is done via a version of the TIAM-WORLD Integrated Model, modified to implement the approach of robust optimization. In our case, the approach can be interpreted as a revival of chance-constrained programming under the name of distributionally robust, or ambiguous, chance-constrained programming. We apply the approach to improve the security of supply to the European Energy system. The resulting formulation provides several interesting features regarding the security of EU energy supply and has also the advantage to be numerically tractable.
Bibliographie:	SourceType-Scholarly Journals-1 ObjectType-Feature-1 content type line 14 ObjectType-Article-1 ObjectType-Feature-2 content type line 23
ISSN:	1420-2026 1573-2967
DOI:	10.1007/s10666-011-9273-3