{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,11,4]],"date-time":"2025-11-04T16:18:32Z","timestamp":1762273112494,"version":"3.40.3"},"publisher-location":"Cham","reference-count":22,"publisher":"Springer Nature Switzerland","isbn-type":[{"type":"print","value":"9783031368042"},{"type":"electronic","value":"9783031368059"}],"license":[{"start":{"date-parts":[[2023,1,1]],"date-time":"2023-01-01T00:00:00Z","timestamp":1672531200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2023,1,1]],"date-time":"2023-01-01T00:00:00Z","timestamp":1672531200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2023]]},"DOI":"10.1007\/978-3-031-36805-9_8","type":"book-chapter","created":{"date-parts":[[2023,6,29]],"date-time":"2023-06-29T23:03:04Z","timestamp":1688079784000},"page":"113-125","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":3,"title":["CFD Prediction of\u00a0Wind Turbine Blade Compressible Aerodynamics"],"prefix":"10.1007","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-3057-3750","authenticated-orcid":false,"given":"A.","family":"Mezzacapo","sequence":"first","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0002-7068-6613","authenticated-orcid":false,"given":"M. C.","family":"Vitulano","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0009-0005-1534-7298","authenticated-orcid":false,"given":"A. D.","family":"Tomasso","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0003-0114-4463","authenticated-orcid":false,"given":"G.","family":"De Stefano","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2023,6,30]]},"reference":[{"key":"8_CR1","doi-asserted-by":"publisher","first-page":"33","DOI":"10.1016\/j.apenergy.2017.12.020","volume":"212","author":"C Yan","year":"2018","unstructured":"Yan, C., Archer, C.L.: Assessing compressibility effects on the performance of large horizontal-axis wind turbines. Appl. Energy 212, 33\u201345 (2018)","journal-title":"Appl. Energy"},{"key":"8_CR2","doi-asserted-by":"crossref","unstructured":"S\u00f8rensen, J.N.; Bertagnolio, F.; Jost, E.; Lutz, T. Aerodynamic effects of compressibility for wind turbines at high tip speeds. J. Phys.: Conf. Ser. 1037, 022003 (2018)","DOI":"10.1088\/1742-6596\/1037\/2\/022003"},{"key":"8_CR3","doi-asserted-by":"publisher","first-page":"427","DOI":"10.1146\/annurev-fluid-122109-160801","volume":"43","author":"JN S\u00f8rensen","year":"2011","unstructured":"S\u00f8rensen, J.N.: Aerodynamic aspects of wind energy conversion. Annu. Rev. Fluid Mech. 43, 427\u2013448 (2011)","journal-title":"Annu. Rev. Fluid Mech."},{"key":"8_CR4","doi-asserted-by":"publisher","first-page":"163","DOI":"10.5194\/wes-4-163-2019","volume":"4","author":"MHA Madsen","year":"2019","unstructured":"Madsen, M.H.A., Zahle, F., S\u00f8rensen, N.N., Martins, J.R.R.A.: Multipoint high-fidelity CFD-based aerodynamic shape optimization of a 10 MW wind turbine. Wind Energ. Sci. 4, 163\u2013192 (2019)","journal-title":"Wind Energ. Sci."},{"key":"8_CR5","volume-title":"Turbulence Modeling for CFD","author":"DC Wilcox","year":"2006","unstructured":"Wilcox, D.C.: Turbulence Modeling for CFD, 3rd edn. DCW Industries Inc, La Canada CA (2006)","edition":"3"},{"key":"8_CR6","first-page":"2","volume":"2","author":"MA Hossain","year":"2013","unstructured":"Hossain, M.A., Ziaul, H., Kommalapati, R.R., Khan, S.: Numeric investigation of compressible flow over NREL Phase VI airfoil. Int. J. Eng. Res. Technol. 2, 2 (2013)","journal-title":"Int. J. Eng. Res. Technol."},{"key":"8_CR7","doi-asserted-by":"crossref","unstructured":"Gaertner, E.; Rinker, J.; Sethuraman, L. et al. Definition of the IEA 15-Megawatt Offshore Reference Wind Turbine, NREL\/TP-75698, International Energy Laboratory (2020)","DOI":"10.2172\/1603478"},{"key":"8_CR8","unstructured":"IEA Wind Task 37 Model data for the 15 MW offshore reference wind turbine. https:\/\/github.com\/IEAWindTask37\/IEA-15-240-RWT Accessed 03 Jan 2023"},{"key":"8_CR9","doi-asserted-by":"publisher","first-page":"299","DOI":"10.1260\/0309-524X.39.3.299","volume":"39","author":"X Song","year":"2015","unstructured":"Song, X., Perot, J.B.: CFD Simulation of the NREL Phase VI Rotor. Wind Eng. 39, 299\u2013310 (2015)","journal-title":"Wind Eng."},{"key":"8_CR10","doi-asserted-by":"publisher","first-page":"68","DOI":"10.3390\/aerospace7060068","volume":"7","author":"G De Stefano","year":"2020","unstructured":"De Stefano, G., Natale, N., Reina, G.P., Piccolo, A.: Computational evaluation of aerodynamic loading on retractable landing-gears. Aerospace 7, 68 (2020)","journal-title":"Aerospace"},{"key":"8_CR11","doi-asserted-by":"publisher","first-page":"139","DOI":"10.3390\/aerospace7100139","volume":"7","author":"N Natale","year":"2020","unstructured":"Natale, N., Salomone, T., De Stefano, G., Piccolo, A.: Computational evaluation of control surfaces aerodynamics for a mid-range commercial aircraft. Aerospace 7, 139 (2020)","journal-title":"Aerospace"},{"key":"8_CR12","doi-asserted-by":"publisher","first-page":"1598","DOI":"10.2514\/3.12149","volume":"32","author":"FR Menter","year":"1994","unstructured":"Menter, F.R.: Two-equation eddy-viscosity turbulence models for engineering applications. AIAA J. 32, 1598\u20131605 (1994)","journal-title":"AIAA J."},{"key":"8_CR13","doi-asserted-by":"publisher","first-page":"315","DOI":"10.1007\/s00162-010-0202-x","volume":"25","author":"FM Denaro","year":"2011","unstructured":"Denaro, F.M., De Stefano, G.: A new development of the dynamic procedure in large-eddy simulation based on a finite volume integral approach. Theor. Comput. Fluid Dyn. 25, 315\u2013355 (2011)","journal-title":"Theor. Comput. Fluid Dyn."},{"key":"8_CR14","doi-asserted-by":"publisher","DOI":"10.1016\/j.enconman.2023.116883","volume":"282","author":"J Cao","year":"2023","unstructured":"Cao, J., et al.: Study of air compressibility effects on the aerodynamic performance of the IEA-15 MW offshore wind turbine. Energy Conv. Manag. 282, 116883 (2023)","journal-title":"Energy Conv. Manag."},{"key":"8_CR15","doi-asserted-by":"publisher","DOI":"10.1103\/PhysRevFluids.7.054604","volume":"7","author":"G De Stefano","year":"2022","unstructured":"De Stefano, G., Dymkoski, E., Vasilyev, O.V.: Localized dynamic kinetic-energy model for compressible wavelet-based adaptive large-eddy simulation. Phys. Rev. Fluids 7, 054604 (2022)","journal-title":"Phys. Rev. Fluids"},{"key":"8_CR16","doi-asserted-by":"crossref","unstructured":"De Stefano, G.: Wavelet-based adaptive large-eddy simulation of supersonic channel flow with different thermal boundary conditions. Phys. Fluids 35, 035138 (2023)","DOI":"10.1063\/5.0142593"},{"key":"8_CR17","doi-asserted-by":"publisher","first-page":"A13","DOI":"10.1017\/jfm.2020.536","volume":"901","author":"G De Stefano","year":"2020","unstructured":"De Stefano, G., Brown-Dymkoski, E., Vasilyev, O.V.: Wavelet-based adaptive large-eddy simulation of supersonic channel flow. J. Fluid Mech. 901, A13 (2020)","journal-title":"J. Fluid Mech."},{"key":"8_CR18","doi-asserted-by":"publisher","first-page":"331","DOI":"10.3390\/fluids6090331","volume":"6","author":"X Ge","year":"2021","unstructured":"Ge, X., De Stefano, G., Hussaini, M.Y., Vasilyev, O.V.: Wavelet-based adaptive eddy-resolving methods for modeling and simulation of complex wall-bounded compressible turbulent flows. Fluids 6, 331 (2021)","journal-title":"Fluids"},{"key":"8_CR19","doi-asserted-by":"crossref","unstructured":"Ge, X., Vasilyev, O.V., De Stefano, G., Hussaini, M.Y.: Wavelet-based adaptive unsteady Reynolds-averaged Navier-Stokes computations of wall-bounded internal and external compressible turbulent flows. In: Proceedings of the 2018 AIAA Aerospace Sciences Meeting, Kissimmee, Florida, January (2018)","DOI":"10.2514\/6.2018-0545"},{"key":"8_CR20","doi-asserted-by":"publisher","first-page":"1529","DOI":"10.2514\/1.J058428","volume":"58","author":"X Ge","year":"2020","unstructured":"Ge, X., Vasilyev, O.V., De Stefano, G., Hussaini, M.Y.: Wavelet-based adaptive unsteady Reynolds-averaged Navier-Stokes simulations of wall-bounded compressible turbulent flows. AIAA J. 58, 1529\u20131549 (2020)","journal-title":"AIAA J."},{"key":"8_CR21","doi-asserted-by":"crossref","unstructured":"De Tavernier, D.; von Terzi, D. The emergence of supersonic flow on wind turbines. J. Phys.: Conf. Ser. 2265, 042068 (2022)","DOI":"10.1088\/1742-6596\/2265\/4\/042068"},{"key":"8_CR22","doi-asserted-by":"publisher","first-page":"10","DOI":"10.3390\/fluids8010010","volume":"8","author":"T Salomone","year":"2023","unstructured":"Salomone, T., Piomelli, U., De Stefano, G.: Wall-modeled and hybrid large-eddy simulations of the flow over roughness strips. Fluids 8, 10 (2023)","journal-title":"Fluids"}],"container-title":["Lecture Notes in Computer Science","Computational Science and Its Applications \u2013 ICCSA 2023"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-031-36805-9_8","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,6,29]],"date-time":"2023-06-29T23:04:04Z","timestamp":1688079844000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-031-36805-9_8"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023]]},"ISBN":["9783031368042","9783031368059"],"references-count":22,"URL":"https:\/\/doi.org\/10.1007\/978-3-031-36805-9_8","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2023]]},"assertion":[{"value":"30 June 2023","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"ICCSA","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Conference on Computational Science and Its Applications","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Athens","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Greece","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2023","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"3 July 2023","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"6 July 2023","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"23","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"iccsa2023","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"https:\/\/iccsa.org\/","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Single-blind","order":1,"name":"type","label":"Type","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"Custom based on Cyberchair 4","order":2,"name":"conference_management_system","label":"Conference Management System","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"283","order":3,"name":"number_of_submissions_sent_for_review","label":"Number of Submissions Sent for Review","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"67","order":4,"name":"number_of_full_papers_accepted","label":"Number of Full Papers Accepted","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"13","order":5,"name":"number_of_short_papers_accepted","label":"Number of Short Papers Accepted","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"24% - The value is computed by the equation \"Number of Full Papers Accepted \/ Number of Submissions Sent for Review * 100\" and then rounded to a whole number.","order":6,"name":"acceptance_rate_of_full_papers","label":"Acceptance Rate of Full Papers","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"2.5","order":7,"name":"average_number_of_reviews_per_paper","label":"Average Number of Reviews per Paper","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"8,5","order":8,"name":"average_number_of_papers_per_reviewer","label":"Average Number of Papers per Reviewer","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"Yes","order":9,"name":"external_reviewers_involved","label":"External Reviewers Involved","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"PHD Showcase Papers: 6(for main conf) \/ For ICCSA 2023 Workshops 876 subm sent, 350 full papers and 29 short papers accepted, additional PHD Showcase Papers: 2","order":10,"name":"additional_info_on_review_process","label":"Additional Info on Review Process","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}}]}}