Fr. 180.00

Modelling and Optimization of Wave Energy Converters

English · Hardback

Shipping usually within 1 to 3 weeks (not available at short notice)

Description

Read more










This guide to wave energy harvesting systems focuses on current analytical and numerical modelling methods for their convertor technologies. The Open Access version of this book, available at https://www.routledge.com/ has been made available under a Creative Commons Attribution-Non Commercial-No Derivatives 4.0 license.


List of contents










Part I Introduction 1. Wave energy converter systems - status and perspectives Part II Fundamental Theories Applicable to Wave Energy Harvesting 2. Fluid dynamics and wave-structure interactions 3. Wave energy converter modelling, control, and power take-off design Part III Wave Energy Converters 4. Point absorber wave energy converters 5. Multi-mode wave energy converter 6. Attenuator wave energy converters 7. Oscillating water column wave energy converters Part IV Wave Energy Converter Arrays/Farms 8. Large-scale computation of wave energy converter arrays 9. Optimisation of wave farms

About the author

Dezhi Ning is a professor in the field of Ocean Engineering and Offshore Renewable Energy at Dalian University of Technology, China.
Boyin Ding is an associate professor (reader) at the School of Mechanical Engineering, the University of Adelaide, Australia.

Summary

This guide to wave energy harvesting systems focuses on current analytical and numerical modelling methods for their convertor technologies. The Open Access version of this book, available at https://www.routledge.com/ has been made available under a Creative Commons Attribution-Non Commercial-No Derivatives 4.0 license.

Customer reviews

No reviews have been written for this item yet. Write the first review and be helpful to other users when they decide on a purchase.

Write a review

Thumbs up or thumbs down? Write your own review.

For messages to CeDe.ch please use the contact form.

The input fields marked * are obligatory

By submitting this form you agree to our data privacy statement.