Wind EnergyPub Date : 2023-03-30DOI: 10.1002/we.2819
Mads E. Hansen, Nystrup Peter, J. Møller, Madsen Henrik
{"title":"Reconciliation of wind power forecasts in spatial hierarchies","authors":"Mads E. Hansen, Nystrup Peter, J. Møller, Madsen Henrik","doi":"10.1002/we.2819","DOIUrl":"https://doi.org/10.1002/we.2819","url":null,"abstract":"","PeriodicalId":23689,"journal":{"name":"Wind Energy","volume":" ","pages":""},"PeriodicalIF":4.1,"publicationDate":"2023-03-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"43367557","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Wind EnergyPub Date : 2023-03-30DOI: 10.1002/we.2818
A. Ramsland
{"title":"Description of an HAWT hub enabling teetering about two out‐of‐plane axes with modeling showing significant reductions in cyclic behavior and fatigue due to turbulence and wind shear","authors":"A. Ramsland","doi":"10.1002/we.2818","DOIUrl":"https://doi.org/10.1002/we.2818","url":null,"abstract":"","PeriodicalId":23689,"journal":{"name":"Wind Energy","volume":" ","pages":""},"PeriodicalIF":4.1,"publicationDate":"2023-03-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"43784358","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Wind EnergyPub Date : 2023-03-19DOI: 10.1002/we.2811
D. Allaerts, E. Quon, M. Churchfield
{"title":"Using observational mean‐flow data to drive large‐eddy simulations of a diurnal cycle at the SWiFT site","authors":"D. Allaerts, E. Quon, M. Churchfield","doi":"10.1002/we.2811","DOIUrl":"https://doi.org/10.1002/we.2811","url":null,"abstract":"","PeriodicalId":23689,"journal":{"name":"Wind Energy","volume":" ","pages":""},"PeriodicalIF":4.1,"publicationDate":"2023-03-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"45737340","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Wind EnergyPub Date : 2023-03-13DOI: 10.1002/we.2813
V. Mendoza, E. Katsidoniotaki, Markos Florentiades, Jorge Dot Fraga, E. Dyachuk
{"title":"Aerodynamic performance of a dual turbine concept characterized by a relatively close distance between rotors","authors":"V. Mendoza, E. Katsidoniotaki, Markos Florentiades, Jorge Dot Fraga, E. Dyachuk","doi":"10.1002/we.2813","DOIUrl":"https://doi.org/10.1002/we.2813","url":null,"abstract":"","PeriodicalId":23689,"journal":{"name":"Wind Energy","volume":" ","pages":""},"PeriodicalIF":4.1,"publicationDate":"2023-03-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"42640502","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Wind EnergyPub Date : 2023-03-09DOI: 10.1002/we.2810
C. Petersen, S. Fæster, J. I. Bech, Kristine Munk Jespersen, N. Israelsen, O. Bang
{"title":"Non‐destructive and contactless defect detection inside leading edge coatings for wind turbine blades using mid‐infrared optical coherence tomography","authors":"C. Petersen, S. Fæster, J. I. Bech, Kristine Munk Jespersen, N. Israelsen, O. Bang","doi":"10.1002/we.2810","DOIUrl":"https://doi.org/10.1002/we.2810","url":null,"abstract":"","PeriodicalId":23689,"journal":{"name":"Wind Energy","volume":" ","pages":""},"PeriodicalIF":4.1,"publicationDate":"2023-03-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"42572038","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Wind EnergyPub Date : 2023-03-01DOI: 10.1002/we.2812
Yu-Hsien Lin, Hsuan‐Kuang Chen, K. Wu
{"title":"Prediction of aerodynamic performance of NREL offshore 5‐MW baseline wind turbine considering power loss at varying wind speeds","authors":"Yu-Hsien Lin, Hsuan‐Kuang Chen, K. Wu","doi":"10.1002/we.2812","DOIUrl":"https://doi.org/10.1002/we.2812","url":null,"abstract":"","PeriodicalId":23689,"journal":{"name":"Wind Energy","volume":" ","pages":""},"PeriodicalIF":4.1,"publicationDate":"2023-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"41893983","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Wind EnergyPub Date : 2023-02-22DOI: 10.1002/we.2803
Ming Huang, A. Sciacchitano, C. Ferreira
{"title":"On the wake deflection of vertical axis wind turbines by pitched blades","authors":"Ming Huang, A. Sciacchitano, C. Ferreira","doi":"10.1002/we.2803","DOIUrl":"https://doi.org/10.1002/we.2803","url":null,"abstract":"","PeriodicalId":23689,"journal":{"name":"Wind Energy","volume":" ","pages":""},"PeriodicalIF":4.1,"publicationDate":"2023-02-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"47308811","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Wind EnergyPub Date : 2023-02-14DOI: 10.1002/we.2806
Fraser Anderson, D. McMillan, R. Dawid, D. García Cava
{"title":"A Bayesian hierarchical assessment of night shift working for offshore wind farms","authors":"Fraser Anderson, D. McMillan, R. Dawid, D. García Cava","doi":"10.1002/we.2806","DOIUrl":"https://doi.org/10.1002/we.2806","url":null,"abstract":"","PeriodicalId":23689,"journal":{"name":"Wind Energy","volume":" ","pages":""},"PeriodicalIF":4.1,"publicationDate":"2023-02-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"49595854","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Wind EnergyPub Date : 2023-02-14DOI: 10.1002/we.2841
F. Aerts, L. Lanzilao, J. Meyers
{"title":"Bayesian uncertainty quantification framework for wake model calibration and validation with historical wind farm power data","authors":"F. Aerts, L. Lanzilao, J. Meyers","doi":"10.1002/we.2841","DOIUrl":"https://doi.org/10.1002/we.2841","url":null,"abstract":"The expected growth in wind energy capacity requires efficient and accurate models for wind farm layout optimization, control, and annual energy predictions. Although analytical wake models are widely used for these applications, several model components must be better understood to improve their accuracy. To this end, we propose a Bayesian uncertainty quantification framework for physics-guided data-driven model enhancement. The framework incorporates turbulence-related aleatoric uncertainty in historical wind farm data, epistemic uncertainty in the empirical parameters, and systematic uncertainty due to unmodelled physics. We apply the framework to the wake expansion parameterization in the Gaussian wake model and employ historical power data of the Westermost Rough offshore wind farm. We find that the framework successfully distinguishes the three sources of uncertainty in the joint posterior distribution of the parameters. On the one hand, the framework allows for wake model calibration by selecting the maximum a posteriori estimators for the empirical parameters. On the other hand, it facilitates model validation by separating the measurement error and the model error distribution. In addition, the model adequacy and the effect of unmodelled physics are assessable via the posterior parameter uncertainty and correlations. Consequently, we believe that the Bayesian uncertainty quantification framework can be used to calibrate and validate existing and upcoming physics-guided models.","PeriodicalId":23689,"journal":{"name":"Wind Energy","volume":" ","pages":""},"PeriodicalIF":4.1,"publicationDate":"2023-02-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"47448055","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}