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A meta-multiparametric framework: Application to the operation of bio-based energy supply chains
dc.contributor.author | Medina González, Sergio Armando |
dc.contributor.author | Shokry Abdelaleem Taha Zied, Ahmed |
dc.contributor.author | Silvente Saiz, Javier |
dc.contributor.author | Espuña Camarasa, Antonio |
dc.contributor.other | Universitat Politècnica de Catalunya. Departament d'Enginyeria Química |
dc.date.accessioned | 2016-05-06T09:30:29Z |
dc.date.available | 2016-05-06T09:30:29Z |
dc.date.issued | 2015 |
dc.identifier.citation | Medina , 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. |
dc.identifier.isbn | 9780444634290 |
dc.identifier.uri | http://hdl.handle.net/2117/86674 |
dc.description.abstract | 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. |
dc.format.extent | 6 p. |
dc.language.iso | eng |
dc.publisher | Elsevier |
dc.rights.uri | http://creativecommons.org/licenses/by-nc-nd/3.0/es/ |
dc.subject | Àrees temàtiques de la UPC::Enginyeria química |
dc.subject.lcsh | Biomass energy |
dc.subject.lcsh | Renewable energy |
dc.subject.other | metamodeling |
dc.subject.other | kriging |
dc.subject.other | uncertainty |
dc.subject.other | multiparametric programming |
dc.title | A meta-multiparametric framework: Application to the operation of bio-based energy supply chains |
dc.type | Conference report |
dc.subject.lemac | Energies renovables |
dc.subject.lemac | Combustibles |
dc.contributor.group | Universitat Politècnica de Catalunya. CEPIMA - Center for Process and Environment Engineering |
dc.identifier.doi | 10.1016/B978-0-444-63576-1.50020-0 |
dc.rights.access | Open Access |
local.identifier.drac | 16620474 |
dc.description.version | Postprint (author's final draft) |
local.citation.author | Medina, S.; Abdelaleem, A.; Silvente, J.; Espuña, A. |
local.citation.contributor | European Symposium on Computer Aided Process Engineering |
local.citation.pubplace | Copenhagen |
local.citation.publicationName | 12th Intenational Symposium on Process Systems Engineering and 25th European Symposium on Computer Aided Process Engineering. Part A. Computer Aided Chemical Engineering, 37 |
local.citation.startingPage | 1955 |
local.citation.endingPage | 1960 |