DECISION-MAKING MATRIX FOR THE SELECTION OF MIXTURE IN ORC APPLICATION

dc.contributor.authorCombaluzier, William
dc.contributor.authorTauveron, Nicolas
dc.contributor.authorBeaughon, Michel
dc.contributor.authorSerafino, Aldo
dc.date.accessioned2026-03-04T16:05:24Z
dc.date.available2024-07-25
dc.date.issued2024-05-10
dc.description.abstractORC is an established and affordable technology to convert efficiently low/medium grade thermal energy to power. The choice of the working fluid is critical to the performance of the ORC. The use of zeotropic mixtures as a cycle working fluid could lead to an efficiency enhancement, thanks to the nonisothermal phase change occurring at both the condenser and the evaporator. Therefore, there has been a growing interest for mixtures, which are often studied by the means of optimization algorithms or thermodynamic calculations that lead to interesting results (Bederna et al., 2021, Lecompte et al., 2014). This work proposes an alternative approach. A selection methodology is used to conduct a preliminary screening to optimize the mixture choice in accordance with the targeted objectives. This methodology is applied to study cyclopentane-based mixtures. For this purpose, a large list of criteria is considered to achieve improved safety, maximized performances, ORC using more environmentally friendly fluids and respecting heat exchangers sizing while following specific technical constraints. Among these criteria, the temperature glide should be carefully taken into account: indeed, it is directly linked to the fractionating risk, which must be prevented for the good functioning of the cycle. Performing this study prior to the classical energetic analysis reduces the risk of exploring mixtures of incompatible or irrelevant fluids. This whole analysis yields a decision-making matrix, gathering selection criteria, relevant properties, and cycle performances. By adapting the different threshold of these criteria, this methodology is adaptable to large-scale ORC applications.
dc.description.sponsorshipes
dc.description.version1ª Edición
dc.formatLibro digital
dc.format.extentpp. 420-429
dc.identifier.doi10.12795/9788447227457_71
dc.identifier.isbn9788447227457
dc.identifier.urihttps://pepa.une.es/handle/123456789/70245
dc.languagees
dc.publisherEditorial Universidad de Sevilla-Secretariado de Publicaciones
dc.relation.ispartofProceedings of the 7th International Seminar on ORC Power System
dc.relation.ispartofseriesActas
dc.relation.publisherurles
dc.rightsCreative Commons Attribution 4.0 International (CC BY 4.0)
dc.rights.accessRightsopenAccess
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/en
dc.subjectes
dc.titleDECISION-MAKING MATRIX FOR THE SELECTION OF MIXTURE IN ORC APPLICATION
dc.typeen
dspace.entity.typeChapter
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