Proposition of methodology for optimization of energy system design under uncertainty

Current superstructure size for energy system design is increasing with computing facility improvement. Despite such approach allows to link and to analyse a lot of elements, demonstrating the advantage of a global optimization, non-negligible uncertainties are introduced. They may be due to the level of detail of modelisation, predictive aspect of the model, or simply the stochastic nature of some parameters (like outdoor temperature by example). In the present paper, different approach for optimizing energy system under uncertainty will be discussed, taking into account ability of the system to adapt to uncertain variables variations.


Editor(s):
Bogle, Idl
Fairweather, M.
Published in:
22 European Symposium On Computer Aided Process Engineering, 30, 302-306
Presented at:
22nd European Symposium on Computer Aided Process Engineering (ESCAPE)
Year:
2012
Publisher:
Amsterdam, Elsevier Science Bv
ISSN:
1570-7946
ISBN:
978-0-444-59431-0
Keywords:
Laboratories:




 Record created 2013-05-17, last modified 2018-03-17

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