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Optimal design and planning multi resource-based energy integration in process industries
dc.contributor.author | Morakabatchiankar, Shabnam |
dc.contributor.author | Mele, Fenando D. |
dc.contributor.author | Graells Sobré, Moisès |
dc.contributor.author | Espuña Camarasa, Antonio |
dc.contributor.other | Universitat Politècnica de Catalunya. Doctorat en Enginyeria de Processos Químics |
dc.contributor.other | Universitat Politècnica de Catalunya. Departament d'Enginyeria Química |
dc.date.accessioned | 2021-04-08T12:23:46Z |
dc.date.available | 2022-05-01T00:26:18Z |
dc.date.issued | 2019 |
dc.identifier.citation | Morakabatchiankar, S. [et al.]. Optimal design and planning multi resource-based energy integration in process industries. A: European Symposium on Computer Aided Process Engineering. "29th European Symposium on Computer Aided Process Engineering". Elsevier, 2019, p. 1075-1080. ISBN 15707946. DOI 10.1016/B978-0-12-818634-3.50180-6. |
dc.identifier.isbn | 15707946 |
dc.identifier.uri | http://hdl.handle.net/2117/343330 |
dc.description.abstract | Recently, process industries have experienced a significant pressure to shift from centralized energy supplying systems to the in-situ exploitation of renewable resources. Special attention has been paid to multi resource-based energy systems, a particular case of distributed generation where processing nodes include energy generation and can operate either grid-connected or isolated. This work proposes a general model to determine the optimal retrofitting of a supply chain integrating renewable energy sources under uncertain conditions and to analyze the effect of different planning horizons in the solution. The proposed mixed integer linear programming (MILP) formulation allows determining the best combination of available technologies that satisfies the internal energy demand of a given set of scenarios while addressing total expected cost and expected environmental impact minimization. The potential of the approach is illustrated through a case study from the sugar cane industry proposed by Mele et al. (2011). |
dc.format.extent | 6 p. |
dc.language.iso | eng |
dc.publisher | Elsevier |
dc.rights | Attribution-NonCommercial-NoDerivs 3.0 Spain |
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 | Renewable energy sources |
dc.subject.other | Multi resource-based energy |
dc.subject.other | Optimization under uncertainty |
dc.subject.other | Renewable energies |
dc.subject.other | Closed-loop energy integration |
dc.title | Optimal design and planning multi resource-based energy integration in process industries |
dc.type | Conference report |
dc.subject.lemac | Energies renovables |
dc.contributor.group | Universitat Politècnica de Catalunya. CEPIMA - Center for Process and Environment Engineering |
dc.identifier.doi | 10.1016/B978-0-12-818634-3.50180-6 |
dc.description.peerreviewed | Peer Reviewed |
dc.relation.publisherversion | https://www.sciencedirect.com/science/article/pii/B9780128186343501806 |
dc.rights.access | Open Access |
local.identifier.drac | 30819317 |
dc.description.version | Postprint (author's final draft) |
dc.relation.projectid | info:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2013-2016/DPI2017-87435-R/ES/METODOS AVANZADOS DE INTEGRACION PARA UNA SIMBIOSIS EFICIENTE DE REDES DE PROCESO/ |
local.citation.author | Morakabatchiankar, S.; Mele, F.; Graells, M.; Espuña, A. |
local.citation.contributor | European Symposium on Computer Aided Process Engineering |
local.citation.publicationName | 29th European Symposium on Computer Aided Process Engineering |
local.citation.startingPage | 1075 |
local.citation.endingPage | 1080 |