The model Meso scale model developed at AWST will be coupled with Park model developed at SINTEF. A coupling procedure will be described in the report. This deliverable is associated with Task 2.5 (Interface between WRF-LES and turbine CFD model) and Task 2.6 (Implementation in HPC environment)
The development of a unified fatigue damage model, including an interaction criterion between intra- and inter-laminar damage, are completed. The unified model is implemented in SAMCEF and a special purpose solution strategy is developed and benchmarked. This delivery is an outcome of Task 5.3 (Unified fatigue damage model (inter- and intra-laminar) including interaction criteria between damage modes )
The 3D delamination model developed will include a crack tracking algorithm and 3D J-integral of cohesive zone. The model is implemented in SAMCEF and ready to use. Its predictive 3D capabilities are demonstrated on a delamination demonstrator by comparing to experimental data. This delivery is an outcome of Task 5.1 (3D progressive delamination method based on cohesive zone modelling for fatigue loading)
An innovation Management Plan will be prepared and reported. This delivery will describe the structure and the regularly practiced ways of running the related organisational activities will be released and updated. The task is associated with Task 1.6 (Innovation and IP Management). The Innovation Management Plan will be updated M02, M14, M26 and M38.
A report on Project Management Plan will be prepared. The project management plan will mainly consist of minutes of meeting and other information. The project management plan will be updated every year.
The identification tool for intra-laminar fatigue damage is implemented in SAMCEF and ready to use. The accuracy and performance of the tool are documented based on benchmark test cases for which experimental data are generated. This delivery is an outcome of Task 5.2 (Intra-laminar progressive damage model for fatigue loading and inverse parameter identification tool)
This deliverable related to the Task 2.3 in which LES park and turbulence model will be developed. State of the art models will be reviewed. The report will discuss on the implementation of improved turbulence and actuator line models
A Kick-off meeting report with all partners will take place in month of May/June 2018. The location of the meeting is not decided yet. The minutes of meeting will be prepared. A report describing the agenda, highlight and minutes of meeting will be prepared.
The dissemination and communication plan will be the basis of the awareness creation strategy of UPWARDS. Updated during the project, it will contain a tailor-made strategy, key messages for selected audiences and procedures for publication, assistance to events, etc. (success indicators: see Table 7 in Part B for a list of quantified indicators that will need to be fulfilled to consider Task 8.1 successful in the end of the project). The plan will be updated in M06, M24 and M48
General guideline on the data management and handling will be defined in the Data Management Plan. It will take into account the requirements for data integration and processing of UPWARDS virtual wind turbine. The data management plan will be updated month 12, 18, 30 and 42.
Risk management plan describing major risks in the project will prepared. In total five risk management plan in M6, M12, M18, M30 and M42 will be prepared.
A relevant public and stakeholder needs and opinion will be used as input for the specification of models to developed. A report on this will be published
The most recent literature on social acceptance of wind turbines will be reviewed, in particular in relation to noise, shadow flicker and risk. This review results in a manuscript for a peer-reviewed publication and also serves as input to develop the participatory modelling approach. This task refers to Task 7.1: Develop participatory approach to wind power modelling.
The experimental campaign on the effect of fatigue loading history on damage development are completed Experimental evidence observations and data from the campaign are reported This delivery is an outcome of Task 54 Effect of fatigue loading history on damage development inter and intralaminar
A report describing a brief review of state of the art methods used for modelling the Wind-wave interaction will be presented. In addition to this Large eddy simulation of wind-wave interaction using OpenFoam will also be presented.
Data from the online surveys and panels in two European countries on social and environmental aspects of wind turbines notably noise shadow flicker and risk will be presented analysed and compiled in a report Some of this information will also be published in peerreviewed journals This task refers to Task 72 Collect stakeholder data on noise shadow flicker risk and other social and environmental issues
An open-source simulation platform containing following form is implemented and delivered to the partners: The partners can use this platform for initialization and parametrization of models, Running and stopping simulations. The simulation tools and models from WP2-WP5 are coupled in serial form including data exchange between models. This delivery is an outcome of Task 6.1 ( Simulation Platform Interfaces and Linking of Models )
This deliverable is a key tool for communication. It will contain the project details, with the objectives and a description of the consortium put forward. All public deliverables of the project will be uploaded and available to all project stakeholders. (success indicator: 5000 visits at least, in the end of the project) (Task 8.1)
MOR algorithms for models in WP2 – WP5 increasing simulation speed are proposed to partners and implemented in a software toolbox and tested. This delivery is associated with Task 6.2 ( Model order reduction)
The individual software tools parallelized in WP2WP5 are implemented in a the integrated HPC simulation platform The HPC integrated simulation will be tested and ready to use at the cluster Beehive This delivery is a result of Task 63 HPC for Integrated Simulation Platform
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Author(s): L. Carreras, A. Turon, B.L.V. Bak, E. Lindgaard, J. Renart, F. Martin de la Escalera, Y. Essa
Published in: Composites Part A: Applied Science and Manufacturing, 122, 2019, Page(s) 107-119, ISSN 1359-835X
Publisher: Pergamon Press Ltd.
Author(s): A. Hussain Kadar, S. Le Bras, H. Bériot, W. De Roeck, W. Desmet, C. Schram
Published in: AIAA Journal, 2021, ISSN 1533-385X
Publisher: American Institute of Aeronautics and Astronautics, Inc