Matches in SemOpenAlex for { <https://semopenalex.org/work/W4387210746> ?p ?o ?g. }
- W4387210746 endingPage "117711" @default.
- W4387210746 startingPage "117711" @default.
- W4387210746 abstract "The application of supercritical CO2 (sCO2) in power generation systems is getting attractive recently owing to high energy efficiency and compact component size, but there are big design challenges for turbines and compressors due to the supercritical fluid characteristics. In this paper, a novel turbomachinery design optimization framework, “Turbine-Δh-Compressor” (TΔhC) tool, is proposed to generate the optimal flow feature and geometry. The TΔhC tool based on sequential quadratic programming formulation extends the design parameter search spaces and compares the optimized turbomachinery geometries by coupling with genetic algorithm, its capability is demonstrated by three sCO2 systems with 100, 200 and 250 kW turbine output power under different operating conditions. It is found that the maximum turbine total-to-static efficiency of these systems is 86.99 % and the maximum compressor isentropic efficiency is 77.06 %. In the optimal design case, the system thermal efficiency could reach 33.43 %." @default.
- W4387210746 created "2023-10-01" @default.
- W4387210746 creator A5028753055 @default.
- W4387210746 creator A5046323798 @default.
- W4387210746 date "2023-12-01" @default.
- W4387210746 modified "2023-10-09" @default.
- W4387210746 title "Aerodynamic design and optimization of sCO2 turbomachinery: Two-Stage optimization approach" @default.
- W4387210746 cites W1982232835 @default.
- W4387210746 cites W2052198007 @default.
- W4387210746 cites W2060403674 @default.
- W4387210746 cites W2078423497 @default.
- W4387210746 cites W2079072225 @default.
- W4387210746 cites W2082355705 @default.
- W4387210746 cites W2084387308 @default.
- W4387210746 cites W2085310913 @default.
- W4387210746 cites W2127343179 @default.
- W4387210746 cites W2135536698 @default.
- W4387210746 cites W2165330158 @default.
- W4387210746 cites W2465975584 @default.
- W4387210746 cites W2501962439 @default.
- W4387210746 cites W2744974555 @default.
- W4387210746 cites W2802112565 @default.
- W4387210746 cites W2809870590 @default.
- W4387210746 cites W2894601218 @default.
- W4387210746 cites W2913390774 @default.
- W4387210746 cites W2968844920 @default.
- W4387210746 cites W2981381194 @default.
- W4387210746 cites W2985640551 @default.
- W4387210746 cites W3002214851 @default.
- W4387210746 cites W3011276606 @default.
- W4387210746 cites W3012700561 @default.
- W4387210746 cites W3044174602 @default.
- W4387210746 cites W3081495540 @default.
- W4387210746 cites W3099450710 @default.
- W4387210746 cites W3138433666 @default.
- W4387210746 cites W3158891559 @default.
- W4387210746 cites W3162679403 @default.
- W4387210746 cites W3181006605 @default.
- W4387210746 cites W3195820036 @default.
- W4387210746 cites W3206272863 @default.
- W4387210746 cites W4207015584 @default.
- W4387210746 cites W4220832376 @default.
- W4387210746 cites W4229783971 @default.
- W4387210746 cites W4232667646 @default.
- W4387210746 cites W4250680164 @default.
- W4387210746 cites W4283738095 @default.
- W4387210746 cites W4291237988 @default.
- W4387210746 cites W4306412521 @default.
- W4387210746 cites W4309101516 @default.
- W4387210746 cites W47797393 @default.
- W4387210746 doi "https://doi.org/10.1016/j.enconman.2023.117711" @default.
- W4387210746 hasPublicationYear "2023" @default.
- W4387210746 type Work @default.
- W4387210746 citedByCount "0" @default.
- W4387210746 crossrefType "journal-article" @default.
- W4387210746 hasAuthorship W4387210746A5028753055 @default.
- W4387210746 hasAuthorship W4387210746A5046323798 @default.
- W4387210746 hasBestOaLocation W43872107461 @default.
- W4387210746 hasConcept C118419359 @default.
- W4387210746 hasConcept C119857082 @default.
- W4387210746 hasConcept C121332964 @default.
- W4387210746 hasConcept C127413603 @default.
- W4387210746 hasConcept C131097465 @default.
- W4387210746 hasConcept C13393347 @default.
- W4387210746 hasConcept C146978453 @default.
- W4387210746 hasConcept C154945302 @default.
- W4387210746 hasConcept C172959903 @default.
- W4387210746 hasConcept C180788929 @default.
- W4387210746 hasConcept C186394612 @default.
- W4387210746 hasConcept C200398353 @default.
- W4387210746 hasConcept C2775924081 @default.
- W4387210746 hasConcept C2778449969 @default.
- W4387210746 hasConcept C41008148 @default.
- W4387210746 hasConcept C47446073 @default.
- W4387210746 hasConcept C57879066 @default.
- W4387210746 hasConcept C78519656 @default.
- W4387210746 hasConcept C97355855 @default.
- W4387210746 hasConceptScore W4387210746C118419359 @default.
- W4387210746 hasConceptScore W4387210746C119857082 @default.
- W4387210746 hasConceptScore W4387210746C121332964 @default.
- W4387210746 hasConceptScore W4387210746C127413603 @default.
- W4387210746 hasConceptScore W4387210746C131097465 @default.
- W4387210746 hasConceptScore W4387210746C13393347 @default.
- W4387210746 hasConceptScore W4387210746C146978453 @default.
- W4387210746 hasConceptScore W4387210746C154945302 @default.
- W4387210746 hasConceptScore W4387210746C172959903 @default.
- W4387210746 hasConceptScore W4387210746C180788929 @default.
- W4387210746 hasConceptScore W4387210746C186394612 @default.
- W4387210746 hasConceptScore W4387210746C200398353 @default.
- W4387210746 hasConceptScore W4387210746C2775924081 @default.
- W4387210746 hasConceptScore W4387210746C2778449969 @default.
- W4387210746 hasConceptScore W4387210746C41008148 @default.
- W4387210746 hasConceptScore W4387210746C47446073 @default.
- W4387210746 hasConceptScore W4387210746C57879066 @default.
- W4387210746 hasConceptScore W4387210746C78519656 @default.
- W4387210746 hasConceptScore W4387210746C97355855 @default.
- W4387210746 hasFunder F4320322626 @default.
- W4387210746 hasFunder F4320336535 @default.