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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Vydané v:Environmental modeling & assessment Ročník 17; číslo 1-2; s. 19 - 37
Hlavní autori: Babonneau, Frédéric, Kanudia, Amit, Labriet, Maryse, Loulou, Richard, Vial, Jean-Philippe
Médium: Journal Article
Jazyk:English
Vydavateľské údaje: Dordrecht Springer Netherlands 01.04.2012
Springer
Springer Nature B.V
Predmet:
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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Popis
Shrnutí: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.
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ISSN:1420-2026
1573-2967
DOI:10.1007/s10666-011-9273-3