Po Wen Cheng

About Po Wen Cheng

Po Wen Cheng, With an exceptional h-index of 30 and a recent h-index of 21 (since 2020), a distinguished researcher at Universität Stuttgart, specializes in the field of wind energy, wind turbine control, dynamic load simulation, lidar.

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

Control co-design optimization of floating offshore wind turbines with tuned liquid multi-column dampers

Machine learning based virtual load sensors for mooring lines using motion and lidar measurements

Wind turbine rotors in surge motion: new insights into unsteady aerodynamics of floating offshore wind turbines (FOWTs) from experiments and simulations

Surrogate Modeling and Aeroelastic Analysis of a Wind Turbine with Down-Regulation, Power Boosting, and IBC Capabilities

Identification of electro-mechanical interactions in wind turbines

Assessment of structural loads in wind farms under consideration of wake redirection control

Dynamic performance of a passively self-adjusting floating wind farm layout to increase the annual energy production

Validation of a panel method with full-scale FOWT measurements and verification with engineering models

Po Wen Cheng Information

University

Position

Professor für Windenergie

Citations(all)

2729

Citations(since 2020)

1579

Cited By

1732

hIndex(all)

30

hIndex(since 2020)

21

i10Index(all)

80

i10Index(since 2020)

58

Email

University Profile Page

Google Scholar

Po Wen Cheng Skills & Research Interests

wind energy

wind turbine control

dynamic load simulation

lidar

Top articles of Po Wen Cheng

Control co-design optimization of floating offshore wind turbines with tuned liquid multi-column dampers

Wind Energy Science Discussions

2023/10/10

Wei Yu
Wei Yu

H-Index: 6

Po Wen Cheng
Po Wen Cheng

H-Index: 19

Machine learning based virtual load sensors for mooring lines using motion and lidar measurements

Wind Energy Science Discussions

2024/3/22

Wind turbine rotors in surge motion: new insights into unsteady aerodynamics of floating offshore wind turbines (FOWTs) from experiments and simulations

Wind energy science

2024/3/20

Christian Schulz
Christian Schulz

H-Index: 20

Po Wen Cheng
Po Wen Cheng

H-Index: 19

Surrogate Modeling and Aeroelastic Analysis of a Wind Turbine with Down-Regulation, Power Boosting, and IBC Capabilities

Energies

2024/3/7

Vasilis Pettas
Vasilis Pettas

H-Index: 3

Po Wen Cheng
Po Wen Cheng

H-Index: 19

Identification of electro-mechanical interactions in wind turbines

Wind Energy Science Discussions

2024/2/5

Martin Schmid
Martin Schmid

H-Index: 9

Po Wen Cheng
Po Wen Cheng

H-Index: 19

Assessment of structural loads in wind farms under consideration of wake redirection control

2024

Dynamic performance of a passively self-adjusting floating wind farm layout to increase the annual energy production

Wind Energy Science Discussions

2023/10/16

Validation of a panel method with full-scale FOWT measurements and verification with engineering models

Journal of Physics: Conference Series

2023/10/1

Po Wen Cheng
Po Wen Cheng

H-Index: 19

A passively self-adjusting floating wind farm layout to increase the energy production: a sensitivity analysis

Journal of Physics: Conference Series

2023/10/1

Mohammad Youssef Mahfouz
Mohammad Youssef Mahfouz

H-Index: 1

Po Wen Cheng
Po Wen Cheng

H-Index: 19

Lidar-based virtual load sensors for mooring lines using artificial neural networks

Journal of Physics: Conference Series

2023/10/1

Po Wen Cheng
Po Wen Cheng

H-Index: 19

The impact of unsteadiness on the aerodynamic loads of a floating offshore wind turbine

Journal of Physics: Conference Series

2023/10/1

Po Wen Cheng
Po Wen Cheng

H-Index: 19

Impact of probe volume and peak detection methods on lidar rotor effective wind speed and turbulence intensity estimations

Journal of Physics: Conference Series

2023/10/1

Modeling and validation of a tuned liquid multi-column damper stabilized floating offshore wind turbine coupled system

Ocean Engineering

2023/7/15

Wei Yu
Wei Yu

H-Index: 6

Po Wen Cheng
Po Wen Cheng

H-Index: 19

Quantification and correction of motion influence for nacelle-based lidar systems on floating wind turbines

Wind Energy Science

2023/6/6

Vasilis Pettas
Vasilis Pettas

H-Index: 3

Po Wen Cheng
Po Wen Cheng

H-Index: 19

A passively self‐adjusting floating wind farm layout to increase the annual energy production

Wind Energy

2023/3

Quantification of amplitude modulation of wind turbine emissions from acoustic and ground motion recordings

Acta Acustica

2023

Johannes Pohl
Johannes Pohl

H-Index: 5

Po Wen Cheng
Po Wen Cheng

H-Index: 19

Joint analysis of resident complaints, meteorological, acoustic, and ground motion data to establish a robust annoyance evaluation of wind turbine emissions

Renewable Energy

2022/4/1

Po Wen Cheng
Po Wen Cheng

H-Index: 19

Johannes Pohl
Johannes Pohl

H-Index: 5

Numerical Aspects of a Two-Way Coupling for Electro-Mechanical Interactions—A Wind Energy Perspective

Energies

2022/2/5

Messungen im Bereich eines Windparks mit Fokus auf tief-und niederfrequente Schallemissionen und-immissionen

2022

Florian Müller
Florian Müller

H-Index: 9

Po Wen Cheng
Po Wen Cheng

H-Index: 19

Four-dimensional wind field generation for the aeroelastic simulation of wind turbines with lidars

2022

Feng Guo
Feng Guo

H-Index: 5

Po Wen Cheng
Po Wen Cheng

H-Index: 19

See List of Professors in Po Wen Cheng University(Universität Stuttgart)

Co-Authors

academic-engine