A meta-multiparametric framework: Application to the operation of bio-based energy supply chains
Tipo de documentoTexto en actas de congreso
Fecha de publicación2015
Condiciones de accesoAcceso abierto
This paper proposes a framework for the analysis of complex optimization problems under uncertainty. The usual multiparametric programing approach is skipped through the use of metamodels to mimic a set of already solved scenarios. Such framework has been applied to the operation of a bio-based energy supply chain, taking into account economic, environmental and social aspects: these objectives might be summarized in a single-objective formulation according to arbitrary economic criteria so, in order to assess the importance of the weighting factors used in the final decisions at different demand levels, a Kriging based metamodeling technique has been used to simplify the optimization procedures, leading to dramatic reductions in both the complexity of the methodology application and the required computational effort.
CitaciónMedina , S., Abdelaleem, A., Silvente, J., Espuña, A. A meta-multiparametric framework: Application to the operation of bio-based energy supply chains. A: European Symposium on Computer Aided Process Engineering. "12th Intenational Symposium on Process Systems Engineering and 25th European Symposium on Computer Aided Process Engineering. Part A. Computer Aided Chemical Engineering, 37". Copenhagen: Elsevier, 2015, p. 1955-1960.