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A heuristic method for simultaneous tower and pattern-free field optimization on solar power systems

 

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dc.creator Carrizosa Priego, Emilio José es
dc.creator Domínguez Bravo, Carmen Ana es
dc.creator Fernández Cara, Enrique es
dc.creator Quero García, Manuel es
dc.date.accessioned 2016-07-07T07:22:08Z
dc.date.available 2016-07-07T07:22:08Z
dc.date.issued 2015-05
dc.identifier.citation Carrizosa Priego, E.J., Domínguez Bravo, C.A., Fernández Cara, E. y Quero García, M. (2015). A heuristic method for simultaneous tower and pattern-free field optimization on solar power systems. Computers & Operations Research, 57, 109-122.
dc.identifier.issn 0305-0548 es
dc.identifier.issn 1873-765X es
dc.identifier.uri http://hdl.handle.net/11441/43262
dc.description.abstract A heuristic method for optimizing a solar power tower system is proposed, in which both heliostat field (heliostat locations and number) and the tower (tower height and receiver size) are simultaneously considered. Maximizing the thermal energy collected per unit cost leads to a difficult optimization problem due to its characteristics: it has a nonconvex black-box objective function with computationally expensive evaluation and nonconvex constraints. The proposed method sequentially optimizes the field layout for a given tower configuration and then, the tower design is optimized for the previously obtained field layout. A greedy-based heuristic algorithm is presented to address the heliostat location problem. This algorithm follows a pattern-free method. The only constraints to be considered are: the field region and the nonconvex constraints (which allow heliostats to not collide). The absence of a geometrical pattern to design the field and the simultaneous optimization of the field and the tower designs make this approach different from the existing ones. Our method is compared against other proposals in the literature of heliostat field optimization. es
dc.description.sponsorship Abengoa Solar New Technologies es
dc.description.sponsorship Instituto de Matemáticas (Universidad de Sevilla) es
dc.description.sponsorship Ministerio de Economía y Competitividad es
dc.description.sponsorship Junta de Andalucía es
dc.description.sponsorship European Cooperation in Science and Technology es
dc.format application/pdf es
dc.language.iso eng es
dc.publisher Elsevier es
dc.relation.ispartof Computers & Operations Research, 57, 109-122.
dc.rights Attribution-NonCommercial-NoDerivatives 4.0 Internacional *
dc.rights.uri http://creativecommons.org/licenses/by-nc-nd/4.0/ *
dc.subject Solar thermal power es
dc.subject Heliostat field layout es
dc.subject Thermo-economic optimization es
dc.subject Nonconvex optimization es
dc.subject Greedy algorithm es
dc.title A heuristic method for simultaneous tower and pattern-free field optimization on solar power systems es
dc.type info:eu-repo/semantics/article es
dc.type.version info:eu-repo/semantics/submittedVersion es
dc.rights.accessrights info:eu-repo/semantics/openAccess es
dc.contributor.affiliation Universidad de Sevilla. Departamento de Estadística e Investigación Operativa es
dc.contributor.affiliation Universidad de Sevilla. Departamento de Ecuaciones Diferenciales y Análisis Numérico es
dc.relation.projectID info:eu-repo/grantAgreement/MINECO/MTM2010-15992 es
dc.relation.projectID info:eu-repo/grantAgreement/MINECO/MTM2012-36136 es
dc.relation.projectID P11-FQM-7603 es
dc.relation.projectID TD1207 es
dc.relation.publisherversion http://dx.doi.org/10.1016/j.cor.2014.11.017 es
dc.identifier.doi 10.1016/j.cor.2014.11.017 es
dc.contributor.group Universidad de Sevilla. FQM329: Optimizacion es
dc.contributor.group Universidad de Sevilla. FQM131: Ec.diferenciales,Simulacion Num.y Desarrollo Software es
idus.format.extent 47 p. es
dc.journaltitle Computers & Operations Research es
dc.publication.volumen 57 es
dc.publication.initialPage 109 es
dc.publication.endPage 122 es
dc.identifier.idus https://idus.us.es/xmlui/handle/11441/43262
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