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Biblioteca

MARC Lista (tabellare)
2018 International Conference on Wind Energy and Applications in Algeria : 6-7 November 2018, Algiers, Algeria / / Institute of Electrical and Electronics Engineers
2018 International Conference on Wind Energy and Applications in Algeria : 6-7 November 2018, Algiers, Algeria / / Institute of Electrical and Electronics Engineers
Pubbl/distr/stampa Piscataway, New Jersey : , : Institute of Electrical and Electronics Engineers, , 2018
Descrizione fisica 1 online resource (44 pages)
Disciplina 621.45
Soggetto topico Wind energy conversion systems
ISBN 1-5386-6933-1
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNINA-9910305152103321
Piscataway, New Jersey : , : Institute of Electrical and Electronics Engineers, , 2018
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
2018 International Conference on Wind Energy and Applications in Algeria : 6-7 November 2018, Algiers, Algeria / / Institute of Electrical and Electronics Engineers
2018 International Conference on Wind Energy and Applications in Algeria : 6-7 November 2018, Algiers, Algeria / / Institute of Electrical and Electronics Engineers
Pubbl/distr/stampa Piscataway, New Jersey : , : Institute of Electrical and Electronics Engineers, , 2018
Descrizione fisica 1 online resource (44 pages)
Disciplina 621.45
Soggetto topico Wind energy conversion systems
ISBN 1-5386-6933-1
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNISA-996575283803316
Piscataway, New Jersey : , : Institute of Electrical and Electronics Engineers, , 2018
Materiale a stampa
Lo trovi qui: Univ. di Salerno
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Aerodynamics of wind turbines : a physical basis for analysis and design / / Sven Schmitz
Aerodynamics of wind turbines : a physical basis for analysis and design / / Sven Schmitz
Autore Schmitz Sven <1976->
Pubbl/distr/stampa Hoboken, New Jersey ; ; Chichester, West Sussex, England : , : Wiley, , [2020]
Descrizione fisica 1 online resource (433 pages)
Disciplina 621.45
Soggetto topico Wind turbines - Aerodynamics
ISBN 1-119-40559-9
1-119-40564-5
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNINA-9910798927503321
Schmitz Sven <1976->  
Hoboken, New Jersey ; ; Chichester, West Sussex, England : , : Wiley, , [2020]
Materiale a stampa
Lo trovi qui: Univ. Federico II
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Aerodynamics of wind turbines : a physical basis for analysis and design / / Sven Schmitz
Aerodynamics of wind turbines : a physical basis for analysis and design / / Sven Schmitz
Autore Schmitz Sven <1976->
Pubbl/distr/stampa Hoboken, New Jersey ; ; Chichester, West Sussex, England : , : Wiley, , [2020]
Descrizione fisica 1 online resource (433 pages)
Disciplina 621.45
Soggetto topico Wind turbines - Aerodynamics
ISBN 1-119-40559-9
1-119-40564-5
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNINA-9910829131403321
Schmitz Sven <1976->  
Hoboken, New Jersey ; ; Chichester, West Sussex, England : , : Wiley, , [2020]
Materiale a stampa
Lo trovi qui: Univ. Federico II
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CWD 2019 : 2019 Conference for Wind Power Drives : conference proceedings : Aachen, 12th-13th of March 2019 / / Institute of Electrical and Electronics Engineers
CWD 2019 : 2019 Conference for Wind Power Drives : conference proceedings : Aachen, 12th-13th of March 2019 / / Institute of Electrical and Electronics Engineers
Pubbl/distr/stampa Piscataway, New Jersey : , : Institute of Electrical and Electronics Engineers, , 2019
Descrizione fisica 1 online resource (528 pages)
Disciplina 621.45
Soggetto topico Wind power
Electric driving
ISBN 1-7281-3224-X
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNINA-9910318347803321
Piscataway, New Jersey : , : Institute of Electrical and Electronics Engineers, , 2019
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
CWD 2019 : 2019 Conference for Wind Power Drives : conference proceedings : Aachen, 12th-13th of March 2019 / / Institute of Electrical and Electronics Engineers
CWD 2019 : 2019 Conference for Wind Power Drives : conference proceedings : Aachen, 12th-13th of March 2019 / / Institute of Electrical and Electronics Engineers
Pubbl/distr/stampa Piscataway, New Jersey : , : Institute of Electrical and Electronics Engineers, , 2019
Descrizione fisica 1 online resource (528 pages)
Disciplina 621.45
Soggetto topico Wind power
Electric driving
ISBN 1-7281-3224-X
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNISA-996575624903316
Piscataway, New Jersey : , : Institute of Electrical and Electronics Engineers, , 2019
Materiale a stampa
Lo trovi qui: Univ. di Salerno
Opac: Controlla la disponibilità qui
Data science for wind energy / / Yu Ding
Data science for wind energy / / Yu Ding
Autore Ding Yu (Electrical and Computer Engineer)
Edizione [1st ed.]
Pubbl/distr/stampa Boca Raton : , : CRC Press, , [2020]
Descrizione fisica 1 online resource (425 pages)
Disciplina 621.45
Soggetto topico Wind power - Data processing
ISBN 1-5231-3446-1
0-429-49097-6
0-429-95650-9
0-429-95651-7
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Cover -- Half Title -- Title Page -- Copyright Page -- Dedication -- Table of Contents -- Foreword -- Preface -- Acknowledgments -- Chapter 1: Introduction -- 1.1 WIND ENERGY BACKGROUND -- 1.2 ORGANIZATION OF THIS BOOK -- 1.2.1 Who Should Use This Book -- 1.2.2 Note for Instructors -- 1.2.3 Datasets Used in the Book -- Part I: Wind Field Analysis -- Chapter 2: A Single Time Series Model -- 2.1 TIME SCALE IN SHORT- TERM FORECASTING -- 2.2 SIMPLE FORECASTING MODELS -- 2.2.1 Forecasting Based on Persistence Model -- 2.2.2 Weibull Distribution -- 2.2.3 Estimation of Parameters in Weibull Distribution -- 2.2.4 Goodness of Fit -- 2.2.5 Forecasting Based on Weibull Distribution -- 2.3 DATA TRANSFORMATION AND STANDARDIZATION -- 2.4 AUTOREGRESSIVE MOVING AVERAGE MODELS -- 2.4.1 Parameter Estimation -- 2.4.2 Decide Model Order -- 2.4.3 Model Diagnostics -- 2.4.4 Forecasting Based on ARMA Model -- 2.5 OTHER METHODS -- 2.5.1 Kalman Filter -- 2.5.2 Support Vector Machine -- 2.5.3 Artificial Neural Network -- 2.6 PERFORMANCE METRICS -- 2.7 COMPARING WIND FORECASTING METHODS -- Chapter 3: Spatio temporal Models -- 3.1 COVARIANCE FUNCTIONS AND KRIGING -- 3.1.1 Properties of Covariance Functions -- 3.1.2 Power Exponential Covariance Function -- 3.1.3 Kriging -- 3.2 SPATIO-TEMPORAL AUTOREGRESSIVE MODELS -- 3.2.1 Gaussian Spatio-temporal Autoregressive Model -- 3.2.2 Informative Neighborhood -- 3.2.3 Forecasting and Comparison -- 3.3 SPATIO-TEMPORAL ASYMMETRY AND SEPARABILITY -- 3.3.1 Definition and Quantification -- 3.3.2 Asymmetry of Local Wind Field -- 3.3.3 Asymmetry Quantification -- 3.3.4 Asymmetry and Wake Effect -- 3.4 ASYMMETRIC SPATIO-TEMPORAL MODELS -- 3.4.1 Asymmetric Non-separable Spatio-temporal Model -- 3.4.2 Separable Spatio-temporal Models -- 3.4.3 Forecasting Using Spatio-temporal Model -- 3.4.4 Hybrid of Asymmetric Model and SVM -- 3.5 CASE STUDY.
Chapter 4: Regime-switching Methods for Forecasting -- 4.1 REGIME-SWITCHING AUTOREGRESSIVE MODEL -- 4.1.1 Physically Motivated Regime Definition -- 4.1.2 Data-driven Regime Determination -- 4.1.3 Smooth Transition between Regimes -- 4.1.4 Markov Switching between Regimes -- 4.2 REGIME-SWITCHING SPACE-TIME MODEL -- 4.3 CALIBRATION IN REGIME SWITCHING METHOD -- 4.3.1 Observed Regime Changes -- 4.3.2 Unobserved Regime Changes -- 4.3.3 Framework of Calibrated Regime-switching -- 4.3.4 Implementation Procedure -- 4.4 CASE STUDY -- 4.4.1 Modeling Choices and Practical Considerations -- 4.4.2 Forecasting Results -- Part II: Wind Turbine Performance Analysis -- Chapter 5: Power Curve Modeling and Analysis -- 5.1 IEC BINNING: SINGLE-DIMENSIONAL POWER CURVE -- 5.2 KERNEL-BASED MULTI-DIMENSIONAL POWER CURVE -- 5.2.1 Need for Nonparametric Modeling Approach -- 5.2.2 Kernel Regression and Kernel Density Estimation -- 5.2.3 Additive Multiplicative Kernel Model -- 5.2.4 Bandwidth Selection -- 5.3 OTHER DATA SCIENCE METHODS -- 5.3.1 k-Nearest Neighborhood Regression -- 5.3.2 Tree-based Regression -- 5.3.3 Spline-based Regression -- 5.4 CASE STUDY -- 5.4.1 Model Parameter Estimation -- 5.4.2 Important Environmental Factors Affecting Power Output -- 5.4.3 Estimation Accuracy of Different Models -- Chapter 6: Production Efficiency Analysis and Power Curve -- 6.1 THREE EFFICIENCY METRICS -- 6.1.1 Availability -- 6.1.2 Power Generation Ratio -- 6.1.3 Power Coefficient -- 6.2 COMPARISON OF EFFICIENCY METRICS -- 6.2.1 Distributions -- 6.2.2 Pairwise Differences -- 6.2.3 Correlations and Linear Relationships -- 6.2.4 Overall Insight -- 6.3 A SHAPE-CONSTRAINED POWER CURVE MODEL -- 6.3.1 Background of Production Economics -- 6.3.2 Average Performance Curve -- 6.3.3 Production Frontier Function and Effi ciency Metric -- 6.4 CASE STUDY.
Chapter 7: Quantification of Turbine Upgrade -- 7.1 PASSIVE DEVICE INSTALLATION UPGRADE -- 7.2 COVARIATE MATCHING BASED APPROACH -- 7.2.1 Hierarchical Subgrouping -- 7.2.2 One-to-One Matching -- 7.2.3 Diagnostics -- 7.2.4 Paired t-tests and Upgrade Quantification -- 7.2.5 Sensitivity Analysis -- 7.3 POWER CURVE-BASED APPROACH -- 7.3.1 The Kernel Plus Method -- 7.3.2 Kernel Plus Quantification Procedure -- 7.3.3 Upgrade Detection -- 7.3.4 Upgrade Quantification -- 7.4 AN ACADEMIA-INDUSTRY CASE STUDY -- 7.4.1 The Power-vs-Power Method -- 7.4.2 Joint Case Study -- 7.4.3 Discussion -- 7.5 COMPLEXITIES IN UPGRADE QUANTIFICATION -- Chapter 8: Wake Effect Analysis -- 8.1 CHARACTERISTICS OF WAKE EFFECT -- 8.2 JENSEN'S MODEL -- 8.3 A DATA BINNING APPROACH -- 8.4 SPLINE-BASED SINGLE-WAKE MODEL -- 8.4.1 Baseline Power Production Model -- 8.4.2 Power Diff erence Model for Two Turbines -- 8.4.3 Spline Model with Non-negativity Constraint -- 8.5 GAUSSIAN MARKOV RANDOM FIELD MODEL -- 8.6 CASE STUDY -- 8.6.1 Performance Comparison of Wake Models -- 8.6.2 Analysis of Turbine Wake Effect -- Part III: Wind Turbine Reliability Management -- Chapter 9: Overview of Wind Turbine Maintenance Opti- mization -- 9.1 COST- EFFECTIVE MAINTENANCE -- 9.2 UNIQUE CHALLENGES IN TURBINE MAINTENANCE -- 9.3 COMMON PRACTICES -- 9.3.1 Failure Statistics-Based Approaches -- 9.3.2 Physical Load-Based Reliability Analysis -- 9.3.3 Condition-Based Monitoring or Maintenance -- 9.4 DYNAMIC TURBINE MAINTENANCE OPTIMIZATION -- 9.4.1 Partially Observable Markov Decision Process -- 9.4.2 Maintenance Optimization Solutions -- 9.4.3 Integration of Optimization and Simulation -- 9.5 DISCUSSION -- Chapter 10: Extreme Load Analysis -- 10.1 FORMULATION FOR EXTREME LOAD ANALYSIS -- 10.2 GENERALIZED EXTREME VALUE DISTRIBUTIONS -- 10.3 BINNING METHOD FOR NONSTATIONARY GEV DISTRIBUTION.
10.4 BAYESIAN SPLINE-BASED GEV MODEL -- 10.4.1 Conditional Load Model -- 10.4.2 Posterior Distribution of Parameters -- 10.4.3 Wind Characteristics Model -- 10.4.4 Posterior Predictive Distribution -- 10.5 ALGORITHMS USED IN BAYESIAN INFERENCE -- 10.6 CASE STUDY -- 10.6.1 Selection of Wind Speed Model -- 10.6.2 Pointwise Credible Intervals -- 10.6.3 Binning versus Spline Methods -- 10.6.4 Estimation of Extreme Load -- 10.6.5 Simulation of Extreme Load -- Chapter 11: Computer Simulator-Based Load Analysis -- 11.1 TURBINE LOAD COMPUTER SIMULATION -- 11.1.1 NREL Simulators -- 11.1.2 Deterministic and Stochastic Simulators -- 11.1.3 Simulator versus Emulator -- 11.2 IMPORTANCE SAMPLING -- 11.2.1 Random Sampling for Reliability Analysis -- 11.2.2 Importance Sampling Using Deterministic Simulator -- 11.3 IMPORTANCE SAMPLING USING STOCHASTIC SIMULATORS -- 11.3.1 Stochastic Importance Sampling Method 1 -- 11.3.2 Stochastic Importance Sampling Method 2 -- 11.3.3 Benchmark Importance Sampling Method -- 11.4 IMPLEMENTING STOCHASTIC IMPORTANCE SAMPLING -- 11.4.1 Modeling the Conditional POE -- 11.4.2 Sampling from Importance Sampling Densities -- 11.4.3 The Algorithm -- 11.5 CASE STUDY -- 11.5.1 Numerical Analysis -- 11.5.2 NREL Simulator Analysis -- Chapter 12: Anomaly Detection and Fault Diagnosis -- 12.1 BASICS OF ANOMALY DETECTION -- 12.1.1 Types of Anomalies -- 12.1.2 Categories of Anomaly Detection Approaches -- 12.1.3 Performance Metrics and Decision Process -- 12.2 BASICS OF FAULT DIAGNOSIS -- 12.2.1 Tree-Based Diagnosis -- 12.2.2 Signature-Based Diagnosis -- 12.3 SIMILARITY METRICS -- 12.3.1 Norm and Distance Metrics -- 12.3.2 Inner Product and Angle-Based Metrics -- 12.3.3 Statistical Distance -- 12.3.4 Geodesic Distance -- 12.4 DISTANCE-BASED METHODS -- 12.4.1 Nearest Neighborhood-based Method -- 12.4.2 Local Outlier Factor.
12.4.3 Connectivity-based Outlier Factor -- 12.4.4 Subspace Outlying Degree -- 12.5 GEODESIC DISTANCE BASED METHOD -- 12.5.1 Graph Model of Data -- 12.5.2 MST Score -- 12.5.3 Determine Neighborhood Size -- 12.6 CASE STUDY -- 12.6.1 Benchmark Cases -- 12.6.2 Hydropower Plant Case -- Bibliography -- Index.
Record Nr. UNINA-9910805596303321
Ding Yu (Electrical and Computer Engineer)  
Boca Raton : , : CRC Press, , [2020]
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
DC Wind Generation Systems : Design, Analysis, and Multiphase Turbine Technology / / by Omid Beik, Ahmad S. Al-Adsani
DC Wind Generation Systems : Design, Analysis, and Multiphase Turbine Technology / / by Omid Beik, Ahmad S. Al-Adsani
Autore Beik Omid
Edizione [1st ed. 2020.]
Pubbl/distr/stampa Cham : , : Springer International Publishing : , : Imprint : Springer, , 2020
Descrizione fisica 1 online resource (IX, 188 p. 150 illus., 92 illus. in color.)
Disciplina 621.45
Soggetto topico Renewable energy resources
Power electronics
Energy systems
Renewable and Green Energy
Power Electronics, Electrical Machines and Networks
Energy Systems
ISBN 3-030-39346-1
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Chapter 1. Wind energy systems -- Chapter 2. Wind turbine systems -- Chapter 3. DC wind generation system -- Chapter 4. Hybrid Generator (HG) Concept and 3-phase Benchmark Machine -- Chapter 5. Multiphase Hybrid Generator (HG) Design -- Chapter 6. HG High Voltage Insulation Systems.
Record Nr. UNINA-9910410019503321
Beik Omid  
Cham : , : Springer International Publishing : , : Imprint : Springer, , 2020
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Elettricita dal vento : impianti di piccola scala / Paul Gipe
Elettricita dal vento : impianti di piccola scala / Paul Gipe
Autore Gipe, Paul
Pubbl/distr/stampa Roma : F. Muzzio, [2002]
Descrizione fisica 166 p. : ill ; 24 cm
Disciplina 621.45
Collana Energie
ISBN 88-7413-016-3
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione ita
Record Nr. UNINA-990007866840403321
Gipe, Paul  
Roma : F. Muzzio, [2002]
Materiale a stampa
Lo trovi qui: Univ. Federico II
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Energia dal vento : guida all'impiego per piccole e medie potenze / Gianfranco Veronesi, Alberto Zucchini
Energia dal vento : guida all'impiego per piccole e medie potenze / Gianfranco Veronesi, Alberto Zucchini
Autore VERONESI, Gianfranco
Pubbl/distr/stampa Bologna : Edagricole, c1981
Descrizione fisica VII, 108 p. : ill. ; 25 cm
Disciplina 621.45
Altri autori (Persone) ZUCCHINI, Alberto
Soggetto topico Energia eolica
ISBN 88-206-2225-4
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione ita
Record Nr. UNISA-990002746120203316
VERONESI, Gianfranco  
Bologna : Edagricole, c1981
Materiale a stampa
Lo trovi qui: Univ. di Salerno
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