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[{"model": "core.projectfund", "pk": 23351, "fields": {"project": 533, "organisation": 2, "amount": 39298, "start_date": "2015-04-30", "end_date": "2018-04-29", "raw_data": 39860}}]
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[{"model": "core.projectfund", "pk": 15449, "fields": {"project": 533, "organisation": 2, "amount": 39298, "start_date": "2015-04-30", "end_date": "2018-04-29", "raw_data": 10897}}]
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| April 11, 2022, 3:45 a.m. |
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[{"model": "core.projectorganisation", "pk": 58903, "fields": {"project": 533, "organisation": 1047, "role": "LEAD_ORG"}}]
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| April 11, 2022, 3:45 a.m. |
Created
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[{"model": "core.projectperson", "pk": 36342, "fields": {"project": 533, "person": 1305, "role": "PI_PER"}}]
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| April 11, 2022, 1:46 a.m. |
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{"title": ["", "SWEPT2"], "description": ["", "\nThe SWEPT2 project aims to develop a sophisticated tool for modelling of wind turbine wakes and wake interactions. It is\nwell known that present wake models are inadequate, especially for application to large offshore wind farms, and have led\nto wind farm designs with larger than expected wake losses. Improved wake models are essential for improved wind farm\ndesigns with improved energy yield. Validation of wake models is critical but difficult to undertake at full scale. By making\nuse of LIDAR and full size turbines, the project aims to collect data on wakes that will provide confidence in the validation\nprocess. However LIDAR data is not without its own technical challenges, mainly related to data dropout due at times to\ninadequate back-scatter from aerosol particles. Strathclyde has experience of LIDAR measurement of wind turbine wakes\nboth onshore and offshore and will apply the methods previously developed to provide high quality data sets to be used for\nmodel validation within the consortium. There are different ways in which flow field measurements and CDF calculations\ncan be compared to assess the quality of wake models; the Strathclyde team will apply methods previously developed and\nshown to be effective to the SWEPT2 validation.\n\n"], "extra_text": ["", "\n\nPotential Impact:\nThe UK offshore wind sector is projected to grow to £8bn annually by 2020 so the economic benefits estimated to result\nfrom the new wake modelling tool, at over 1% of project costs, could be considerable across the UK investment.\nResearch results will be communicated through the ORE Catapult (a project partners ideally suited to this) and publication\nin the relevant journals.\n\n\n"], "status": ["", "Closed"]}
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| April 11, 2022, 1:46 a.m. |
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{"external_links": [1840]}
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| April 11, 2022, 1:46 a.m. |
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[{"model": "core.project", "pk": 533, "fields": {"owner": null, "is_locked": false, "coped_id": "accb63d3-5812-4f4f-867d-42e4a9ab32e8", "title": "", "description": "", "extra_text": "", "status": "", "start": null, "end": null, "raw_data": 10881, "created": "2022-04-11T01:29:52.057Z", "modified": "2022-04-11T01:29:52.057Z", "external_links": []}}]
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