Systemics for the design of complex distribution networks with uncertainties

Emmanuelle Patay, Jean-Claude Bocquet () and Aurélie Dudézert ()
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Emmanuelle Patay: LGI - Laboratoire Génie Industriel - EA 2606 - CentraleSupélec
Jean-Claude Bocquet: LGI - Laboratoire Génie Industriel - EA 2606 - CentraleSupélec
Aurélie Dudézert: LGI - Laboratoire Génie Industriel - EA 2606 - CentraleSupélec

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Abstract: In the future, hydrogen could be used as a fuel for cars to satisfy objectives of reduction in carbon emissions. To introduce hydrogen on the energy market, a Distribution Network of Hydrogen Energy (DNHE) has to be developed. The DNHE is a complex system composed of several elements (production, liquefaction, transportation, delivery…) in interaction. The challenge for potential energy market actors, like AIR LIQUIDE, is to measure the investments that have to be done in order to develop a distribution infrastructure satisfying cost objectives, environmental constraints and customers' satisfaction in an uncertain framework. To design distribution networks, the use of optimisation tools is advised. It requires modelling the system. When the system exists, the modelling can be done and validated with comparison to the real system. In the DNHE case, as the system is not developed, the modelling is complex. The originality of this paper is to propose the use of a systemic approach to build an optimisation model of this complex system. We call this modelling method from systemic SCOS'M: Systemics for Complex Organisational Systems' Modelling. We apply the SCOS'M method to the DNHE to identify all the necessary parameters to build a complete and robust optimisation model regarding the objectives of the system.

Keywords: Complex system; Uncertainties; Modelling; Design; Systemic approach; Distribution network; Hydrogen energy (search for similar items in EconPapers)
Date: 2007-07-28
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Published in ICED 2007 : 16th International Conference on Engineering Design, Jul 2007, Paris, France. full paper no. DS42_P_488

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Persistent link: https://EconPapers.repec.org/RePEc:hal:journl:halshs-00537932

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