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opencc-by-4.0Dec 2021View details →

LiftWEC deliverable D4.4: Dataset from 2D experimental test campaign, with calculated hydrodynamic forces

This dataset contains 2-dimensional wave tank testing data for a wave-driven rotating hydrofoil model. The model tested is composed of one or two hydrofoils rotating around a horizontal axis, perpendicular to the wave direction. The model was tested in a range of regular and irregular seas. The data contains measurements of the model in the wave tank including; wave measurement, rotor position, forces on the hydrofoils, and torque on the power take off. This data is the first of two sets of wave tank data generated for the LiftWEC H2020 research project. This first set consists of results for the device tested in 2D, while the second set will contain results for tests conducted in 3D. This new version contains all data from version 1 of the first set, which consists of measurement from the experimental testing, plus results from the data analysis calculating the hydrodynamic forces. These forces are calculated by removing the static force and the centrifugal force. For a complete description of the test campaign, readers are directed to "LiftWEC Deliverable D4.4. Report on physical modelling of 2D LiftWEC concepts "

opencc-by-4.0Nov 2022View details →

LiftWEC Social Acceptability Dataset

This document contains LiftWEC’s social acceptability dataset. The dataset consists of interview transcripts sourced from semi-structured discussions conducted by a LiftWEC researcher and a range of stakeholders relevant to the field of marine renewable energy production. Semi-structured interviews were conducted with relevant actors between September and November of 2021. A snowball sampling approach was used for the selection of actors to be interviewed. Beginning with a small population of socio-political actors, this study developed a larger sample by learning from initial participants and identifying others who were relevant to the study. Interviewees were drawn up through a process of mapping, ensuring that a variety of actors holding different roles and located in different European nations engaged with the study and provided insight. Participants were then selected based upon the likelihood of having a detailed understanding of the emerging problems confronting marine renewable energy. Informed by literature, it was decided to categorise actors within three distinct profiles; (i) socio-political actors, (ii) market actors, and (iii) community actors. Three examples of interview transcripts, one from an actor relating to each of the aforementioned profiles, are presented in this dataset. The interviews were designed from the outset to allow for the analysis of debate regarding the social acceptance of novel and emerging marine renewable energy. Interviewees were prompted to discuss their perceptions of the current challenges and opportunities facing marine renewable energy technologies and their experience of how social acceptance issues are managed, and provide recommendations for the future. To support the free development and uptake of individual opinions from a variety of stakeholders, interviews were conducted on a one-to-one basis. A semi-structured interview guideline – an example is presented in section 3 of this dataset – was developed to gather data regarding the specific research objectives of the study. The interview guidelines helped to ensure comparability across interviews, especially across different countries and contexts. The questions that are part of the guideline are open questions, i.e., interview partners did not have fixed options for answering them. This provided interviewees with the possibility of freely choosing which aspect they wanted to put an emphasis or which aspects they wanted to mention. Furthermore, semi-structured interviews enabled the interviewer to spontaneously rephrase or add questions if the answers provided by the interviewee left too much room for interpretation or were not fully clear. All interviews lasted for a duration of between 40 minutes and one hour. This study that these interviews spawned from was conducted in line with the guidelines and standards set by the Queen’s University of Belfast’s Code of Conduct and Integrity in Research and its Policy and Principles on the Ethical Approval of Research. Free and informed consent was obtained from all participants prior to the collection of data from online interviews. All interviewees were provided with a project information sheet and a consent form prior to meeting, and participants were fully briefed on what the research involves. It was also explained how anonymity and confidentiality will be achieved. Permission was also sought for the audio of the meetings to be recorded and participants were made aware of their right to withdraw within one month of data gathering without penalty. Consent was also obtained for the data to be used for research purposes and for future publication. Confidentiality, a hugely important consideration in research, was ensured at all times during the course of the research.

opencc-by-4.0Mar 2023View details →

Life Cycle Assessment of the LiftWEC Design Dataset

The Life Cycle Assessment Dataset contains data used to perform the cradle to grave LCA methodology to quantify the carbon and energy intensity of the proposed device configuration. The dataset includes input data obtained through a combination of project partner contributions, peer-reviewed literature, and pre-existing databases, as well as results of environmental impacts found through the application of LCA techniques in the SimaPro tool and using Ecoinvent database. These data were compiled and used to conduct a LCA of the LiftWEC device in Work Package 9, to evaluate and inform device design choices. The findings of this assessment were presented as part of Task 9.4 and included in Deliverable D9.4, titled "Life Cycle Assessment of the LiftWEC Design.

opencc-by-4.0Feb 2023View details →

LiftWEC deliverable D4.7: Dataset from 3D experimental test campaign

This dataset contains 3-dimensional wave tank testing data for a wave-driven rotating hydrofoil model. The model tested is composed of one or two hydrofoils rotating around a horizontal axis, perpendicular to the wave direction. The model was tested in a range of regular and irregular seas. The data contains time series measurements of the model in the wave tank including; wave elevation, rotor angular position, forces on the hydrofoils, torque on the power take off and position of the hexapod holding the model. This data is the second set of wave tank data generated for the LiftWEC H2020 research project. The first set consisted of results for a similar device tested in 2D, while this second set contains results for tests conducted in 3D. For a complete description of the 3D testing and dataset, readers are directed to "LiftWEC Deliverable D4.8. Report on physical modelling of 3D LiftWEC concepts" with DOI 10.5281/zenodo.7669625.

LiftWEC deliverable 3.6 - Part I: Dataset from 3D validation simulations of LiftWEC device using a high-fidelity RANS model

This dataset contains numerical simulation results obtained from 3D-validation studies of the high-fidelity RANS model employed in the LiftWEC project. The case identifiers (ID) correspond to the case numbering employed in the experimental reference cases defined by École Centrale de Nantes. It is highly recommended to read the corresponding project reports on numerical modelling (D3.6) and on experimental modelling (D4.5, D4.6, D4.7, D4.8) which are also available in the LiftWEC community on zenodo (https://zenodo.org/communities/liftwec/). The cases comprise simulations of a rotor at constant velocity in calm water and regular waves in full 3D simulations. It further includes 2D simulation results of a rotor at constant rotational velocity in irregular waves and at variable velocity in monochromatic waves. All loads in the data set are given in force per unit span length (N/m), torque and power output is given as values per unit span as well. Wave elevation data up and down-wave of the rotor is given in (m).

LiftWEC deliverable 3.6 - Part II: Dataset from numerical simulations of full-scale LiftWEC device using a high-fidelity RANS model

This dataset contains the numerical simulation results for a full-scale LiftWEC device in regular and irregular wave conditions. The regular wave cases occur at static pitch and fixed rotational velocity. The parameters used for these cases are described in the corresponding *CaseParameters.csv file. These simulations were used to derive a first estimate of the maximum conversion efficiency of the rotor from wave power to shaft power. A detailed description of the employed numerical model and the case setup can be found in LiftWEC deliverable 3.6 Hydrodynamic Validation of Final Design, which was also uploaded to the LiftWEC community on zenodo. In accordance with the coordinate system definition used in the validation case, a relative phase angle of 270° degree corresponds to foil1 at 3 o'clock position while the wave crest passes over the rotor axis position. Rotation is clockwise, Rotor rotates in the direction of orbital wave particle velocities. The control reference case describes the first test case of a cyclorotor in irregular waves under active control of angular velocity and foil pitch. This case is also documented in deliverable D3.6. The case files can be used to recreate wave conditions and motion signal. The load-file can be used to validate the obtained tangential and radial forces on foil 1 as well as the total power output over time. More information on the control model can be found in the corresponding project deliverables D5.X. All loads given as values per unit span length (e.g. for forces [N/m]).

LiftWEC deliverable 3.3 - Dataset from 2D validation simulations of LiftWEC device using a high-fidelity RANS model

This dataset contains results obtained from numerical simulations of the LiftWEC model scale device in a two-dimensional setting. The simulations were done based on the experimental validation campaign conducted in the scope of the LiftWEC project and documented in deliverables D4.2, D4.3 and D.4. The corresponding experimental datasets are also available within the LiftWEC community on zenodo. The numerical setup as well as a presentation and discussion of obtained results is available in LiftWEC deliverable D3.3 Tool Validation and Extension report, which also contains information on the potential flow model. All forces presented in this document are given as forces per unit span length. As the 2D RANS model was found to be rather sensitive to high fluctuations at this preliminary investigation stage, results are presented as mean forces and force fluctuations at rotation period, analysed by means of an FFT post-processing routine. The case identifiers correspond to the case numbering employed in the experimental model tests.

opencc-by-4.0May 2023View details →

WP 8 LCOE of the Final LiftWEC configuration

The LCOE data sheet includes the cost and performance data used to calculate the cost of energy of the final LiftWEC configuration. The original LCOE tool has been developed by Julia Fernández Chozas, and during the LIFTWEC project developed further incorporating additional features in co-operation with the LIFTWEC project partners. For further information please see Liftwec Deliverable 8.6 "LW-D08-06-3x2 LCOE estimate of final configuration_final" also attached.

zenodo32/100

LiftWEC deliverable 3.5 - Dataset from extreme wave impact simulations on LiftWEC rotor using a high-fidelity RANS model

This dataset contains numerical simulation results obtained from extreme wave impact in the LiftWEC rotor obtained using the high-fidelity RANS model employed in the LiftWEC project. An elaborate description of the numerical simulation setup as well as the discussion of the obtained results is available in LiftWEC deliverable D3.5 Extreme Load Analysis Report, also available in the LiftWEC zenodo-community or via the project website liftwec.com. The RANS-based investigation looked into maximum forces obtained using different extreme wave generation mechanisms as well as for different configurations of rotor and foil angle and rotor submergence. The dataset features images of different flow field variables throughout the simulation and time series of obtained forces in horizontal and vertical direction. In combination with the report, the datasets should allow to replicate all investigated design wave cases.