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Publications (10 of 106) Show all publications
Leijon, J., Engström, J., Göteman, M. & Boström, C. (2024). Desalination and wave power for freshwater supply on Gotland. Energy Strategy Reviews, 53, 101404-101404, Article ID 101404.
Open this publication in new window or tab >>Desalination and wave power for freshwater supply on Gotland
2024 (English)In: Energy Strategy Reviews, ISSN 2211-467X, E-ISSN 2211-4688, Vol. 53, p. 101404-101404, article id 101404Article in journal (Refereed) Published
National Category
Electrical Engineering, Electronic Engineering, Information Engineering
Research subject
Engineering Science with specialization in Science of Electricity
Identifiers
urn:nbn:se:uu:diva-528342 (URN)10.1016/j.esr.2024.101404 (DOI)
Available from: 2024-05-20 Created: 2024-05-20 Last updated: 2024-05-20
Temiz, I. & Göteman, M. (2024). Farms of Wave Energy Converters and Grid Integration. In: Reference Module in Earth Systems and Environmental Sciences: (pp. 1-22). Elsevier
Open this publication in new window or tab >>Farms of Wave Energy Converters and Grid Integration
2024 (English)In: Reference Module in Earth Systems and Environmental Sciences, Elsevier, 2024, p. 1-22Chapter in book (Other academic)
Abstract [en]

This article presents the state-of-the-art and challenges related to the optimization and grid integration of farms of wave energy converters (WECs). Various physical and electrical circuit layouts have been proposed to interconnect WECs. The grid impact of wave power farms (WPFs) is associated with energy variability in ocean waves. Although fluctuations in the WPF output power might be reduced due to the farm aggregation effect, it remains highly variable, changing from minimum to maximum within several seconds. Parameters assessing the grid impact of farms of WECs are presented here, and various solutions to reduce the grid impact from WPFs are summarized.

Place, publisher, year, edition, pages
Elsevier, 2024
Keywords
Energy storage system, Flicker level, Frequency variation, Grid code compliance, Interaction factor, Output power variation, Voltage variation, Wave power farm, Wave power farm optimization
National Category
Marine Engineering Other Electrical Engineering, Electronic Engineering, Information Engineering Energy Systems
Identifiers
urn:nbn:se:uu:diva-528840 (URN)10.1016/B978-0-323-93940-9.00262-0 (DOI)9780124095489 (ISBN)
Available from: 2024-05-28 Created: 2024-05-28 Last updated: 2024-05-28Bibliographically approved
Forsberg, S., Göteman, M., Thomas, K. & Bergkvist, M. (2024). Resilience to extreme storm conditions: A comparative study of two power systems with varying dependencies on offshore wind. Results in Engineering (RINENG), 23, Article ID 102408.
Open this publication in new window or tab >>Resilience to extreme storm conditions: A comparative study of two power systems with varying dependencies on offshore wind
2024 (English)In: Results in Engineering (RINENG), ISSN 2590-1230, Vol. 23, article id 102408Article in journal (Refereed) Published
Abstract [en]

In the next decades, the dependencies on power production from renewable energy sources are expected to increase dramatically. A transition towards large-scale offshore wind farms together with an increased electrification of the industry and transportation sectors introduces new vulnerabilities to society. Further, extreme weather events are expected to increase in intensity and frequency, driven by climate change. However, there are significant knowledge gaps concerning the impacts of severe weather conditions on the resilience of power systems with large dependencies on offshore wind. In the present study, a comparison between two different power systems’ resilience to historical extreme storm conditions has been conducted. The power systems are the IEEE39-bus New England model and the Great Britain model. The results show significant differences between the two power systems, which underlying reasons are analysed and explained. With an offshore wind penetration level of 30 %, the New England model stays intact in terms of connected load. When increasing the penetration level to 40 %, about 10 % of the total connected load gets disconnected, whereas about 33 % of the load gets disconnected with a penetration level of 50 %. The Great Britain model stays intact in terms of connected load with a penetration level of at least 49 %.

Place, publisher, year, edition, pages
Elsevier, 2024
Keywords
Extreme weather event, Offshore wind, Power system, Resilience
National Category
Other Electrical Engineering, Electronic Engineering, Information Engineering Energy Systems
Research subject
Electrical Engineering with specialization in Systems Analysis
Identifiers
urn:nbn:se:uu:diva-511255 (URN)10.1016/j.rineng.2024.102408 (DOI)
Funder
J. Gust. Richert stiftelse, 2022-00758
Available from: 2023-09-11 Created: 2023-09-11 Last updated: 2024-06-17Bibliographically approved
Shahroozi, Z., Göteman, M. & Engström, J. (2023). A Neural Network Approach To Minimize Line Forces In The Survivability Of The Point-Absorber Wave Energy Converters. In: Proceedings of ASME 2023 42nd International Conference on Ocean, Offshore & Arctic Engineering (OMAE2023): . Paper presented at International Conference on Ocean, Offshore & Arctic Engineering (OMAE), 11-16 June, 2023, Melbourne, Australia. ASME Press, 8, Article ID OMAE2023-102422.
Open this publication in new window or tab >>A Neural Network Approach To Minimize Line Forces In The Survivability Of The Point-Absorber Wave Energy Converters
2023 (English)In: Proceedings of ASME 2023 42nd International Conference on Ocean, Offshore & Arctic Engineering (OMAE2023), ASME Press, 2023, Vol. 8, article id OMAE2023-102422Conference paper, Published paper (Refereed)
Abstract [en]

One strategy for the survivability of wave energy converters(WECs) is to minimize the extreme forces on the structure by adjusting the system damping. In this paper, a neural network model is developed to predict the peak line force for a 1:30 scaled point-absorber WEC with a linear friction-damping power take-off (PTO). The algorithm trains over the wave tank experimental data and enables an update of the system damping based on the system state (i.e. position, velocity, and acceleration) and information on the incoming waves for the extreme sea states. The results show that the deep neural network (DNN) developed here is relatively fast and able to predict the peak line forces with a correlation of 88% when compared to the true (experimental)data. Then, the optimum damping for survivability purposes is found by minimizing the peak line force. It is shown that the optimum damping varies depending on the system state in each zero up-crossing episode.

Place, publisher, year, edition, pages
ASME Press, 2023
National Category
Control Engineering Marine Engineering Ocean and River Engineering
Identifiers
urn:nbn:se:uu:diva-506611 (URN)10.1115/OMAE2023-102422 (DOI)001216330300065 ()978-0-7918-8690-8 (ISBN)
Conference
International Conference on Ocean, Offshore & Arctic Engineering (OMAE), 11-16 June, 2023, Melbourne, Australia
Funder
Swedish Energy Agency, 47264-1Swedish Research Council, 2020-03634StandUpÅForsk (Ångpanneföreningen's Foundation for Research and Development)
Available from: 2023-06-28 Created: 2023-06-28 Last updated: 2024-06-12Bibliographically approved
Shahroozi, Z., Göteman, M. & Engström, J. (2023). Control of a point absorber wave energy converter in extreme wave conditions using a deep learning model in WEC-Sim. In: OCEANS 2023 - LIMERICK: . Paper presented at OCEANS Conference,JUN 05-08, 2023, Limerick, IRELAND. IEEE
Open this publication in new window or tab >>Control of a point absorber wave energy converter in extreme wave conditions using a deep learning model in WEC-Sim
2023 (English)In: OCEANS 2023 - LIMERICK, IEEE, 2023Conference paper, Published paper (Refereed)
Abstract [en]

The survivability of wave energy converters (WECs) is one of the challenges that have a direct influence on their cost. To protect the WEC from the impact of extreme waves, it is often to over-dimension the components or adopt survivability modes e.g. by submerging or lifting the WEC if it is applicable. Here, a control strategy for adjusting the system damping is developed based on deep neural networks (DNN) to minimize the line (mooring) force exerted on a 1:30 scaled WEC. This DNN model is then implemented in a control system of a numerical WEC-Sim model to find the optimal power take-off (PTO) damping for every zero up-crossing episode of surface elevation which minimizes the peak line force. The WEC-Sim model was calibrated based on a 1:30 scaled wave tank experiment that was designed to investigate the WEC response in extreme sea states with a 50-year return period. It is shown that this survival strategy reduces the peak forces when compared with the response of a system that has been set to a constant PTO damping for the entire duration of the sea state.

Place, publisher, year, edition, pages
IEEE, 2023
National Category
Marine Engineering Ocean and River Engineering Control Engineering
Identifiers
urn:nbn:se:uu:diva-506599 (URN)10.1109/OCEANSLimerick52467.2023.10244529 (DOI)001074614700227 ()979-8-3503-3227-8 (ISBN)979-8-3503-3226-1 (ISBN)
Conference
OCEANS Conference,JUN 05-08, 2023, Limerick, IRELAND
Funder
Swedish Energy Agency, 47264-1Swedish Research Council, 2020-03634StandUpÅForsk (Ångpanneföreningen's Foundation for Research and Development)
Available from: 2023-06-28 Created: 2023-06-28 Last updated: 2024-03-12Bibliographically approved
Tagliafierro, B., Karimirad, M., Capasso, S., Göteman, M., Martínez-Estévez, I., Dominguez, J. M., . . . Negrut, D. (2023). Coupled Numerical Simulation of Floating Offshore Wind Turbine Platforms: Investigating the Effects of Wave and Wind Loading Using a High-Fidelity SPH-Based Model. In: Proceedings of ASME 2023 5th International Offshore Wind Technical Conference (IOWTC2023): . Paper presented at ASME 5th International Offshore Wind Technical Conference (IOWTC), December 18-19, 2023, Exeter, England. ASME Press, Article ID IOWTC2023-119634.
Open this publication in new window or tab >>Coupled Numerical Simulation of Floating Offshore Wind Turbine Platforms: Investigating the Effects of Wave and Wind Loading Using a High-Fidelity SPH-Based Model
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2023 (English)In: Proceedings of ASME 2023 5th International Offshore Wind Technical Conference (IOWTC2023), ASME Press, 2023, article id IOWTC2023-119634Conference paper, Published paper (Refereed)
Abstract [en]

In order to enhance the overall comprehension of floating offshore wind turbine (FOWT) performance, a detailed investigation into the dynamic response of a commonly used floater type, namely the tension-leg platform tension-leg platform (TLP), has been undertaken. The objective is to utilize high-fidelity numerical tools to analyze and characterize the expected forces in the anchoring systems resulting from combined actions of sea waves and wind. To capture the coupled effects of waves and wind, a reliable dataset is generated through a high-fidelity computational fluid dynamics tool. This tool is essential to capturing the nonlinearities inherent in the interaction between waves and low surgestiffness platforms, such as the TLP being studied here. The outcomes of this study, presented as a survivor analysis, aim to provide insight into the characteristic values that arise from various load combinations in the mooring system, considering the specific environmental conditions at the site. Given the challenging nature faced by FOWTs, the analysis will primarily focus on extreme loading cases, accounting for the global motions induced by wind thrust when the turbine is in survival mode (i.e., parked conditions).

Place, publisher, year, edition, pages
ASME Press, 2023
National Category
Energy Engineering
Identifiers
urn:nbn:se:uu:diva-531227 (URN)10.1115/IOWTC2023-119634 (DOI)001215662300032 ()978-0-7918-8757-8 (ISBN)
Conference
ASME 5th International Offshore Wind Technical Conference (IOWTC), December 18-19, 2023, Exeter, England
Funder
European CommissionEuropean Social Fund (ESF), RYC2020-030197-I/AEI/10.13039/501100011033National Academic Infrastructure for Supercomputing in Sweden (NAISS), 2022-5-649National Supercomputer Centre (NSC), Sweden
Available from: 2024-06-12 Created: 2024-06-12 Last updated: 2024-06-12Bibliographically approved
Zhu, G., Shahroozi, Z., Zheng, S., Göteman, M., Engström, J. & Greaves, D. (2023). Experimental study of interactions between focused waves and a point absorber wave energy converter. Ocean Engineering, 287, Article ID 115815.
Open this publication in new window or tab >>Experimental study of interactions between focused waves and a point absorber wave energy converter
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2023 (English)In: Ocean Engineering, ISSN 0029-8018, E-ISSN 1873-5258, Vol. 287, article id 115815Article in journal (Refereed) Published
Abstract [en]

Predicting the response of point absorber wave energy converters (WECs) in extreme sea states is crucial for assessing their survivability. However, data are scarce and hydrodynamic understanding is limited. In order to simulate extreme wave conditions, laboratory-scale focused waves based on NewWave theory have been utilized. To investigate the interactions between focused waves and a point absorber WEC, a wave basin experiment has been conducted. Various parameters, including focusing amplitude and peak frequency have been examined across three different damping conditions. The motion response of the point absorber WEC and the corresponding mooring force have been measured over time. The experimental findings reveal that both the focused wave parameters and the damping values have a significant influence on the motion response and mooring force. It is shown that an increase in the focusing amplitude leads to a more intense motion response, while the mooring force is relatively insensitive to the focused amplitude/peak frequency when the end-stop spring is not compressed. The force in the connection line is maximized when the upper end-stop spring is compressed. As the peak frequency increases, the heave and surge responses decrease, whereas the maximum mooring force increases with peak frequency for a locked power take-off (PTO) system. Finally, the results indicate that optimizing the design of the power take-off system, including selecting appropriate damping values and stroke lengths for the translator, can significantly reduce the mooring load for extreme wave conditions.

Place, publisher, year, edition, pages
Elsevier, 2023
Keywords
Wave energy converter, Point absorber, Focused wave, Wave-structure, Mooring force
National Category
Ocean and River Engineering Marine Engineering Energy Engineering
Identifiers
urn:nbn:se:uu:diva-512165 (URN)10.1016/j.oceaneng.2023.115815 (DOI)001077334900001 ()
Available from: 2023-09-22 Created: 2023-09-22 Last updated: 2024-04-04Bibliographically approved
Stavropoulou, C., Goude, A., Katsidoniotaki, E. & Göteman, M. (2023). Fast time-domain model for the preliminary design of a wave power farm. Renewable energy, 219
Open this publication in new window or tab >>Fast time-domain model for the preliminary design of a wave power farm
2023 (English)In: Renewable energy, Vol. 219Article in journal (Refereed) Published
Abstract [en]

This study presents a novel, fast time-domain model developed for an array of interacting point-absorber wave energy converters. The model is validated using experimental wave tank data. The point-absorbers, based on Uppsala University’s design, are arranged in a symmetric grid and interact with scattered and radiated waves while constrained to the heave motion. The model employs linear potential flow theory to solve the hydrodynamic coefficients in the frequency domain and employs Cummins’ formulation to solve the equations of motion in the time domain. Modeling an array of wave energy converters in the time domain yields a system of integro-differential equations, featuring convolution terms in the excitation and radiation forces. This implies that past waves radiated by the body continue to impact future dynamics. Irregular long-crested waves, generated from the Bretschneider spectrum, serve as the incident waves for the study. The model’s accuracy in capturing the dynamics and power absorption of the farm is demonstrated through validation against experimental data from a 1:10 scaled prototype of a six-point-absorber array. Despite inherent differences between the experimental and numerical set-ups, the model accurately represents the farm’s behavior. Furthermore, an efficiency test reveals that the numerical scheme approximates the performance of wave power farms comprising 6, 12, 24, 48, and 96 interacting devices within a maximum computational time of 20 s. Overall, this research presents a novel and accurate time-domain model for analyzing an array of point-absorber wave energy converters. The model’s ability to capture the dynamics and power absorption, along with its efficiency in simulating larger wave power farms, make it a valuable tool for the preliminary design stage.

Place, publisher, year, edition, pages
Elsevier, 2023
National Category
Energy Engineering
Identifiers
urn:nbn:se:uu:diva-514825 (URN)10.1016/j.renene.2023.119482 (DOI)001106919000001 ()
Available from: 2023-10-23 Created: 2023-10-23 Last updated: 2024-01-03Bibliographically approved
Zhao, X., Xue, F., Chen, L., Göteman, M., Han, D., Geng, J. & Sun, S. (2023). Hydrodynamic analysis of a floating platform coupled with an array of oscillating bodies. Ocean Engineering, 287, Article ID 115439.
Open this publication in new window or tab >>Hydrodynamic analysis of a floating platform coupled with an array of oscillating bodies
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2023 (English)In: Ocean Engineering, ISSN 0029-8018, E-ISSN 1873-5258, Vol. 287, article id 115439Article in journal (Refereed) Published
Abstract [en]

In this paper, based on multi-body dynamics and beam bending theory, a frequency-domain model is developed to investigate the hydrodynamic performance of a hybrid floating platform (HFP). The HFP investigated here is characterized by hydroelasticity and complex interconnection conditions. The constraint matrix is derived to handle the couple response of an elastic platform and an array of rigid bodies, representing wave energy converters. The hydroelasticity and coupled dynamics of the floating platform in waves and the wave power extraction performance is analyzed. The numerical results reveal that the platform deformations have a significant impact on the relative pitch response between the buoy array and the platform. Neglecting hydroelasticity leads to an overestimation of the hydrodynamic efficiency of the buoy array when 0.4 < λ/L < 1.0, as demonstrated in our calculations. Influence of key parameters such as spacing and incident wave angle is examined numerically. As a result of these investigations, suggestions are identified for an improved design of such kind of multi-use floating platform.

Place, publisher, year, edition, pages
Elsevier, 2023
Keywords
Multi-purpose platform, Wave energy converters, Hydroelasticity, Multi-body system
National Category
Energy Systems Marine Engineering
Identifiers
urn:nbn:se:uu:diva-512043 (URN)10.1016/j.oceaneng.2023.115439 (DOI)001081712100001 ()
Available from: 2023-09-20 Created: 2023-09-20 Last updated: 2023-11-08Bibliographically approved
Tagliafierro, B., Capasso, S., Martínez-Estévez, I., Göteman, M., Bernhoff, H., Karimirad, M., . . . Gómez-Gesteira, M. (2023). Hydrodynamic validation of a semi-submersible floating platform supporting a 15MW wind turbine tower under extreme loading scenarios with DualSPHysics and MoorDyn+. In: : . Paper presented at The 33rd International Ocean and Polar Engineering Conference, Ottawa, Canada, June 19-23, 2023.
Open this publication in new window or tab >>Hydrodynamic validation of a semi-submersible floating platform supporting a 15MW wind turbine tower under extreme loading scenarios with DualSPHysics and MoorDyn+
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2023 (English)Conference paper, Published paper (Refereed)
Abstract [en]

To investigate the hydrodynamic performance of the floating platform VolturnUS-S as configured for the 1st Floating Offshore Wind Turbine (FOWT) Comparative Study, we have used a Smoothed Particle Hydrodynamics (SPH) based solver that features a coupling to the cable dynamic solver MoorDyn+ to reproduce the proposed benchmarks. This is a quite novel application of the method to simulate semi-submersible platforms for offshore wind energy. For this benchmark, which does not include aerodynamic actions, we have proposed a new procedure, leveraging offline coupling techniques to model the problem in a sub-domain of the reference wave basin. Our approach is detailed and validated for wave propagation only, and thus applied to reproduce the wave-platform interaction for an extreme focused wave condition. Good results are obtained for the wave generation and validation using open boundary conditions as well as for the platform motion under the extreme event.

Keywords
CFD, MESHIN, DualSPHysics, SPH, Focused wave, FOWT
National Category
Software Engineering Marine Engineering Energy Systems
Identifiers
urn:nbn:se:uu:diva-505457 (URN)
Conference
The 33rd International Ocean and Polar Engineering Conference, Ottawa, Canada, June 19-23, 2023
Funder
Swedish National Infrastructure for Computing (SNIC), 2022-5-465European CommissionEuropean Social Fund (ESF), RYC2020-030197-I/AEI/10.13039/501100011033
Available from: 2023-06-20 Created: 2023-06-20 Last updated: 2023-06-20
Projects
Optimization of large-scale wave energy parks [2015-04657_VR]; Uppsala UniversityImproved reliability and survivability of mechanical wave energy subsystems [P47264-1_Energi]; Uppsala University; Publications
Shahroozi, Z., Göteman, M. & Engström, J. (2023). A Neural Network Approach To Minimize Line Forces In The Survivability Of The Point-Absorber Wave Energy Converters. In: Proceedings of ASME 2023 42nd International Conference on Ocean, Offshore & Arctic Engineering (OMAE2023): . Paper presented at International Conference on Ocean, Offshore & Arctic Engineering (OMAE), 11-16 June, 2023, Melbourne, Australia. ASME Press, 8, Article ID OMAE2023-102422.
Multiple cluster scattering theory and collaborative control for wave power optimization [2020-03634_VR]; Uppsala University; Publications
Shahroozi, Z., Göteman, M. & Engström, J. (2023). A Neural Network Approach To Minimize Line Forces In The Survivability Of The Point-Absorber Wave Energy Converters. In: Proceedings of ASME 2023 42nd International Conference on Ocean, Offshore & Arctic Engineering (OMAE2023): . Paper presented at International Conference on Ocean, Offshore & Arctic Engineering (OMAE), 11-16 June, 2023, Melbourne, Australia. ASME Press, 8, Article ID OMAE2023-102422.
Organisations
Identifiers
ORCID iD: ORCID iD iconorcid.org/0000-0001-9213-6447

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