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dc.contributor.authorPili, Roberto
dc.contributor.authorSiamisiis, Nikolaos
dc.contributor.authorAgromayor, Roberto
dc.contributor.authorNord, Lars O.
dc.contributor.authorWieland, Christoph
dc.contributor.authorSpliethoff, Hartmut
dc.date.accessioned2019-09-16T11:06:57Z
dc.date.available2019-09-16T11:06:57Z
dc.date.created2019-09-10T11:15:52Z
dc.date.issued2019
dc.identifier.isbn978-90-9032038-0
dc.identifier.urihttp://hdl.handle.net/11250/2616967
dc.description.abstractOrganic Rankine Cycle (ORC) power systems are efficient and cost-effective to convert heat from low/medium temperature heat sources into electrical or mechanical power. Depending on the time behaviour of the heat and cold sources, the ORC can be operated close to the design point or at partload, which is generally affected by lower efficiency with respect to the nominal point. Axial-flow turbines are the dominant type of expander for large-scale ORCs and their behaviour is crucial for the overall ORC performance. While correlations for efficiency estimation of the design of ORC axial-flow turbines are already available, only very few works have studied the off-design of this component. Two MATLAB mean-line tools of ORC axial-flow turbines, one for the design, AxialOpt, and one for the off-design, AxialOff, are here presented and used to develop part-load efficiency correlations based on simple thermodynamic quantities. The codes have been validated against data and measurements available in literature. A total of eight turbines from different fields of application have been designed and performance maps have been developed to define the efficiency based on the relative difference in specific enthalpy over the turbine and the relative outlet volume flow rate with respect to the nominal point. The coefficient of determination for the fitting was larger than 99%. A test case not included in the curve fitting was studied to prove the prediction capabilities of the proposed correlations. They could predict the part-load behaviour of the turbine with coefficients of determination above 90% for one, two and three stages. The results of the work can be used in ORC system analyses to estimate the turbine performance at part-load conditions prior to its design.nb_NO
dc.description.abstractEfficiency Correlations for Off-design Performance Prediction of ORC Axial-flow Turbinesnb_NO
dc.language.isoengnb_NO
dc.publisherThe National Technical University of Athens (NTUA) Athens, Greecenb_NO
dc.relation.ispartofProceedings of the 5th International Seminar on ORC Power Systems
dc.relation.urihttps://www.orc2019.com/online/proceedings/documents/70.pdf
dc.titleEfficiency Correlations for Off-design Performance Prediction of ORC Axial-flow Turbinesnb_NO
dc.typeChapternb_NO
dc.description.versionacceptedVersionnb_NO
dc.identifier.cristin1723184
dc.description.localcodeThis chapter will not be available due to copyright restrictions (c) 2019 by The National Technical University of Athens (NTUA) Athens, Greecenb_NO
cristin.unitcode194,64,25,0
cristin.unitnameInstitutt for energi- og prosessteknikk
cristin.ispublishedtrue
cristin.fulltextpostprint


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