The Influence of Sizing of Wave Energy Converters on the Techno-Economic Performance

Currently, the techno-economic performance of Wave Energy Converters (WECs) is not competitive with other renewable technologies. Size optimization could make a difference. However, the impact of sizing on the techno-economic performance of WECs still remains unclear, especially when sizing of the b...

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Main Authors: Jian Tan, Henk Polinder, Antonio Jarquin Laguna, Peter Wellens, Sape A. Miedema
Format: Article
Language:English
Published: MDPI AG 2021-01-01
Series:Journal of Marine Science and Engineering
Subjects:
Online Access:https://www.mdpi.com/2077-1312/9/1/52
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spelling doaj-faf9e5fc8b68402ca17f54383a96c9362021-04-02T18:58:50ZengMDPI AGJournal of Marine Science and Engineering2077-13122021-01-019525210.3390/jmse9010052The Influence of Sizing of Wave Energy Converters on the Techno-Economic PerformanceJian Tan0Henk Polinder1Antonio Jarquin Laguna2Peter Wellens3Sape A. Miedema4Department of Maritime & Transport Technology, Delft University of Technology, 2628 CD Delft, The NetherlandsDepartment of Maritime & Transport Technology, Delft University of Technology, 2628 CD Delft, The NetherlandsDepartment of Maritime & Transport Technology, Delft University of Technology, 2628 CD Delft, The NetherlandsDepartment of Maritime & Transport Technology, Delft University of Technology, 2628 CD Delft, The NetherlandsDepartment of Maritime & Transport Technology, Delft University of Technology, 2628 CD Delft, The NetherlandsCurrently, the techno-economic performance of Wave Energy Converters (WECs) is not competitive with other renewable technologies. Size optimization could make a difference. However, the impact of sizing on the techno-economic performance of WECs still remains unclear, especially when sizing of the buoy and Power Take-Off (PTO) are considered collectively. In this paper, an optimization method for the buoy and PTO sizing is proposed for a generic heaving point absorber to reduce the Levelized Cost Of Energy (LCOE). Frequency domain modeling is used to calculate the power absorption of WECs with different buoy and PTO sizes. Force constraints are used to represent the effects of PTO sizing on the absorbed power, in which the passive and reactive control strategy are considered, respectively. A preliminary economic model is established to calculate the cost of WECs. The proposed method is implemented for three realistic sea sites, and the dependence of the optimal size of WECs on wave resources and control strategies is analyzed. The results show that PTO sizing has a limited effect on the buoy size determination, while it can reduce the LCOE by 24% to 31%. Besides, the higher mean wave power density of wave resources does not necessarily correspond to the larger optimal buoy or PTO sizes, but it contributes to the lower LCOE. In addition, the optimal PTO force limit converges at around 0.4 to 0.5 times the maximum required PTO force for the corresponding sea sites. Compared with other methods, this proposed method shows a better potential in sizing and reducing LCOE.https://www.mdpi.com/2077-1312/9/1/52WECssize optimizationtechno-economic performancePTO sizing
collection DOAJ
language English
format Article
sources DOAJ
author Jian Tan
Henk Polinder
Antonio Jarquin Laguna
Peter Wellens
Sape A. Miedema
spellingShingle Jian Tan
Henk Polinder
Antonio Jarquin Laguna
Peter Wellens
Sape A. Miedema
The Influence of Sizing of Wave Energy Converters on the Techno-Economic Performance
Journal of Marine Science and Engineering
WECs
size optimization
techno-economic performance
PTO sizing
author_facet Jian Tan
Henk Polinder
Antonio Jarquin Laguna
Peter Wellens
Sape A. Miedema
author_sort Jian Tan
title The Influence of Sizing of Wave Energy Converters on the Techno-Economic Performance
title_short The Influence of Sizing of Wave Energy Converters on the Techno-Economic Performance
title_full The Influence of Sizing of Wave Energy Converters on the Techno-Economic Performance
title_fullStr The Influence of Sizing of Wave Energy Converters on the Techno-Economic Performance
title_full_unstemmed The Influence of Sizing of Wave Energy Converters on the Techno-Economic Performance
title_sort influence of sizing of wave energy converters on the techno-economic performance
publisher MDPI AG
series Journal of Marine Science and Engineering
issn 2077-1312
publishDate 2021-01-01
description Currently, the techno-economic performance of Wave Energy Converters (WECs) is not competitive with other renewable technologies. Size optimization could make a difference. However, the impact of sizing on the techno-economic performance of WECs still remains unclear, especially when sizing of the buoy and Power Take-Off (PTO) are considered collectively. In this paper, an optimization method for the buoy and PTO sizing is proposed for a generic heaving point absorber to reduce the Levelized Cost Of Energy (LCOE). Frequency domain modeling is used to calculate the power absorption of WECs with different buoy and PTO sizes. Force constraints are used to represent the effects of PTO sizing on the absorbed power, in which the passive and reactive control strategy are considered, respectively. A preliminary economic model is established to calculate the cost of WECs. The proposed method is implemented for three realistic sea sites, and the dependence of the optimal size of WECs on wave resources and control strategies is analyzed. The results show that PTO sizing has a limited effect on the buoy size determination, while it can reduce the LCOE by 24% to 31%. Besides, the higher mean wave power density of wave resources does not necessarily correspond to the larger optimal buoy or PTO sizes, but it contributes to the lower LCOE. In addition, the optimal PTO force limit converges at around 0.4 to 0.5 times the maximum required PTO force for the corresponding sea sites. Compared with other methods, this proposed method shows a better potential in sizing and reducing LCOE.
topic WECs
size optimization
techno-economic performance
PTO sizing
url https://www.mdpi.com/2077-1312/9/1/52
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