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A review of modelling and optimisation methods applied to railways energy consumption

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A review of modelling and optimisation methods applied to railways energy consumption

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dc.contributor.author Martínez Fernández, P. es_ES
dc.contributor.author Villalba Sanchis, Ignacio es_ES
dc.contributor.author Yepes, V. es_ES
dc.contributor.author Insa Franco, Ricardo es_ES
dc.date.accessioned 2020-02-12T21:01:40Z
dc.date.available 2020-02-12T21:01:40Z
dc.date.issued 2019 es_ES
dc.identifier.issn 0959-6526 es_ES
dc.identifier.uri http://hdl.handle.net/10251/136757
dc.description.abstract [EN] Railways are a rather efficient transport mean, and yet there is increasing interest in reducing their energy consumption and making them more sustainable in the current context of climate change. Many studies try to model, analyse and optimise the energy consumed by railways, and there is a wide diversity of methods, techniques and approaches regarding how to formulate and solve this problem. This paper aims to provide insight into this topic by reviewing up to 52 papers related to railways energy consumption. Two main areas are analysed: modelling techniques used to simulate train(s) movement and energy consumption, and optimisation methods used to achieve more efficient train circulations in railway networks. The most used methods in each case are briefly described and the main trends found are analysed. Furthermore, a statistical study has been carried out to recognise relationships between methods and optimisation variables. It was found that deterministic models based on the Davis equation are by far (85% of the papers reviewed) the most common in terms of modelling. As for optimisation, meta-heuristic methods are the preferred choice (57.8%), particularly Genetic Algorithms. es_ES
dc.language Inglés es_ES
dc.publisher Elsevier es_ES
dc.relation.ispartof Journal of Cleaner Production es_ES
dc.rights Reserva de todos los derechos es_ES
dc.subject Railways es_ES
dc.subject Energy efficiency es_ES
dc.subject Modelling es_ES
dc.subject Optimisation es_ES
dc.subject Meta-heuristics es_ES
dc.subject.classification INGENIERIA DE LA CONSTRUCCION es_ES
dc.subject.classification INGENIERIA E INFRAESTRUCTURA DE LOS TRANSPORTES es_ES
dc.title A review of modelling and optimisation methods applied to railways energy consumption es_ES
dc.type Artículo es_ES
dc.identifier.doi 10.1016/j.jclepro.2019.03.037 es_ES
dc.rights.accessRights Abierto es_ES
dc.contributor.affiliation Universitat Politècnica de València. Instituto del Transporte y Territorio - Institut del Transport i Territori es_ES
dc.contributor.affiliation Universitat Politècnica de València. Departamento de Ingeniería e Infraestructura de los Transportes - Departament d'Enginyeria i Infraestructura dels Transports es_ES
dc.contributor.affiliation Universitat Politècnica de València. Escuela Técnica Superior de Ingenieros de Caminos, Canales y Puertos - Escola Tècnica Superior d'Enginyers de Camins, Canals i Ports es_ES
dc.contributor.affiliation Universitat Politècnica de València. Departamento de Ingeniería de la Construcción y de Proyectos de Ingeniería Civil - Departament d'Enginyeria de la Construcció i de Projectes d'Enginyeria Civil es_ES
dc.description.bibliographicCitation Martínez Fernández, P.; Villalba Sanchis, I.; Yepes, V.; Insa Franco, R. (2019). A review of modelling and optimisation methods applied to railways energy consumption. Journal of Cleaner Production. 222:153-162. https://doi.org/10.1016/j.jclepro.2019.03.037 es_ES
dc.description.accrualMethod S es_ES
dc.relation.publisherversion https://doi.org/10.1016/j.jclepro.2019.03.037 es_ES
dc.description.upvformatpinicio 153 es_ES
dc.description.upvformatpfin 162 es_ES
dc.type.version info:eu-repo/semantics/publishedVersion es_ES
dc.description.volume 222 es_ES
dc.relation.pasarela S\380314 es_ES


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