Penalba, Markel and Ringwood, John (2019) A high-fidelity wave-to-wire model for wave energy converters. Renewable Energy, 134. pp. 367-378. ISSN 0960-1481
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Abstract
Mathematical models incorporating all the necessary components of wave energy converters (WECs)
from ocean waves to the electricity grid, known as wave-to-wire (W2W) models, are vital in the
development of wave energy technologies. Ideally, precise W2W models should include all the relevant
nonlinear dynamics, constraints and energy losses. This paper presents a balanced W2W model that
incorporates high-fidelity models for each conversion system, and can accommodate different types of
WECs, hydraulic power take-off (PTO) topologies, electric generators and grid connections. The models of
the different conversion stages presented herein are efficiently implemented in the W2W model using a
multi-rate integration scheme that reduces the computational requirements by a factor of 10. Two W2W
models, i.e. one with the constant-pressure hydraulic PTO configuration and one with the variablepressure configuration, are compared in this paper. Results show that a higher PTO efficiency (30%
higher for the constant-pressure configuration) does not necessarily imply a higher electricity generation
(2% higher for the variable-pressure configuration), which reinforces the need for high-fidelity W2W
models for the design of successful WECs.
Item Type: | Article |
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Keywords: | Wave energy; Wave-to-wire modelling; High-fidelity; Hydraulic power take-off; Multi-rate solver; |
Academic Unit: | Faculty of Science and Engineering > Research Institutes > Centre for Ocean Energy Research Faculty of Science and Engineering > Electronic Engineering |
Item ID: | 14268 |
Identification Number: | 10.1016/j.renene.2018.11.040 |
Depositing User: | Professor John Ringwood |
Date Deposited: | 29 Mar 2021 14:05 |
Journal or Publication Title: | Renewable Energy |
Publisher: | Elsevier |
Refereed: | Yes |
Related URLs: | |
URI: | https://mu.eprints-hosting.org/id/eprint/14268 |
Use Licence: | This item is available under a Creative Commons Attribution Non Commercial Share Alike Licence (CC BY-NC-SA). Details of this licence are available here |
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