M. Sergio Campobasso

M. Sergio Campobasso

Lancaster University

H-index: 23

Europe-United Kingdom

About M. Sergio Campobasso

M. Sergio Campobasso, With an exceptional h-index of 23 and a recent h-index of 16 (since 2020), a distinguished researcher at Lancaster University, specializes in the field of Renewable Energy, Computational Fluid Dynamics, Fluid machinery multidisciplinary design.

His recent articles reflect a diverse array of research interests and contributions to the field:

Impact of meteorological data factors and material characterisation method on lifetime predictions of leading edge erosion of wind turbine blades

Assessing the progression of wind turbine energy yield losses due to blade erosion by resolving damage geometries from lab tests and field observations

Numerical and Experimental Analysis of the Cold Flow Physics of a Nonpremixed Industrial Gas Burner

Probabilistic analysis of wind turbine performance degradation due to blade erosion accounting for uncertainty of damage geometry

Modelling Aerodynamics of a Floating Offshore Wind Turbine Using the Overset Mesh Solver In OpenFOAM

Multi-fidelity Analyses of Rotor Loads of Floating Offshore Wind Turbines with Wind/Wave Misalignment

Multi-scale Navier-Stokes analysis of geometrically resolved erosion of wind turbine blade leading edges

Experimentally validated three‐dimensional computational aerodynamics of wind turbine blade sections featuring leading edge erosion cavities

M. Sergio Campobasso Information

University

Position

___

Citations(all)

1581

Citations(since 2020)

698

Cited By

1182

hIndex(all)

23

hIndex(since 2020)

16

i10Index(all)

40

i10Index(since 2020)

24

Email

University Profile Page

Lancaster University

Google Scholar

View Google Scholar Profile

M. Sergio Campobasso Skills & Research Interests

Renewable Energy

Computational Fluid Dynamics

Fluid machinery multidisciplinary design

Top articles of M. Sergio Campobasso

Title

Journal

Author(s)

Publication Date

Impact of meteorological data factors and material characterisation method on lifetime predictions of leading edge erosion of wind turbine blades

Renewable Energy

Alessio Castorrini

Valerio F Barnabei

Luis Domenech

Asta Šakalytė

Fernando Sánchez

...

2024/4/25

Assessing the progression of wind turbine energy yield losses due to blade erosion by resolving damage geometries from lab tests and field observations

Renewable Energy

Alessio Castorrini

Andrea Ortolani

M Sergio Campobasso

2023/9/2

Numerical and Experimental Analysis of the Cold Flow Physics of a Nonpremixed Industrial Gas Burner

Journal of Fluids Engineering

Andrea Ortolani

Jason Yeadon

Ben Ruane

Manosh Paul

Michele Sergio Campobasso

2023/8/1

Probabilistic analysis of wind turbine performance degradation due to blade erosion accounting for uncertainty of damage geometry

M Sergio Campobasso

Alessio Castorrini

Andrea Ortolani

Edmondo Minisci

2023/5/1

Modelling Aerodynamics of a Floating Offshore Wind Turbine Using the Overset Mesh Solver In OpenFOAM

Zaibin Lin

Ling Qian

Michele Sergio Campobasso

Wei Bai

Yang Zhou

...

2022/6/5

Multi-fidelity Analyses of Rotor Loads of Floating Offshore Wind Turbines with Wind/Wave Misalignment

Journal of Physics: Conference Series

A Ortolani

F Papi

A Bianchini

G Persico

J Drofelnik

...

2022/5/1

Multi-scale Navier-Stokes analysis of geometrically resolved erosion of wind turbine blade leading edges

Journal of Physics: Conference Series

Andrea Ortolani

Alessio Castorrini

M Sergio Campobasso

2022/5/1

Experimentally validated three‐dimensional computational aerodynamics of wind turbine blade sections featuring leading edge erosion cavities

Wind Energy

Michele Sergio Campobasso

Alessio Castorrini

Lorenzo Cappugi

Aldo Bonfiglioli

2022/1

Rotor performance, blade loads, and wake resolution in Navier-Stokes CFD of tidal stream turbines

Federico Attene

Francesco Balduzzi

Alessandro Bianchini

Michele Sergio Campobasso

2021

Machine learning-enabled prediction of wind turbine energy yield losses due to general blade leading edge erosion

Energy Conversion and Management

Lorenzo Cappugi

Alessio Castorrini

Aldo Bonfiglioli

Edmondo Minisci

M Sergio Campobasso

2021/10/1

High-Fidelity Calculation of Floating Offshore Wind Turbines Under Pitching Motion

Andrea Ortolani

Giacomo Persico

Jernej Drofelnik

Adrian Jackson

M Sergio Campobasso

2020/9/21

Assessing wind turbine energy losses due to blade leading edge erosion cavities with parametric CAD and 3D CFD

Journal of Physics: Conference Series

A Castorrini

L Cappugi

A Bonfiglioli

MS Campobasso

2020/9/1

Computational Fluid Dynamics Analysis of Floating Offshore Wind Turbines in Severe Pitching Conditions

Journal of Engineering for Gas Turbines and Power

Andrea Ortolani

Giacomo Persico

Jernej Drofelnik

Adrian Jackson

M Sergio Campobasso

2020/12/1

Cross-comparative analysis of loads and power of pitching floating offshore wind turbine rotors using frequency-domain Navier-Stokes CFD and blade element momentum theory

Journal of Physics: Conference Series

Andrea Ortolani

Giacomo Persico

Jernej Drofelnik

A Jackson

M Sergio Campobasso

2020/9/1

Turbulence modelling for RANS CFD analyses of multi-nozzle annular jet pump swirling flows

International Journal of Heat and Fluid Flow

A Morrall

S Quayle

MS Campobasso

2020/10/1

Rapid estimate of wind turbine energy loss due to blade leading edge delamination using artificial neural networks

Journal of Turbomachinery

M Sergio Campobasso

Anna Cavazzini

Edmondo Minisci

2020/7/1

Using Experimentally Validated Navier-Stokes CFD to Minimize Tidal Stream Turbine Power Losses Due to Wake/Turbine Interactions

Sustainability

Federico Attene

Francesco Balduzzi

Alessandro Bianchini

M Sergio Campobasso

2020/10/22

See List of Professors in M. Sergio Campobasso University(Lancaster University)

Co-Authors

H-index: 67
Michael B. Giles

Michael B. Giles

University of Oxford

H-index: 32
Giacomo Persico

Giacomo Persico

Politecnico di Milano

H-index: 22
Francesco Balduzzi

Francesco Balduzzi

Università degli Studi di Firenze

H-index: 20
Edmondo Minisci

Edmondo Minisci

University of Strathclyde

H-index: 16
Aldo Bonfiglioli

Aldo Bonfiglioli

Università degli Studi della Basilicata

H-index: 11
Mihai Duta

Mihai Duta

University of Oxford

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