Evaluation of a Wave Powered Water Pump Performance by Ocean Field Testing and WEC-Sim Modeling
This submission from AMEC (the Atlantic Marine Energy Center) includes data from an ocean field deployment of a wave powered water pump in March 2023. The wave pump is an upweller device, designed to enhance macroalgal aquaculture.
The wave pump device was deployed off the coast of Isles of Shoals Appledore Island in Maine, USA. The data were collected using a custom-built DAQ module comprised of Arduino Unos. GPS time stamp accompanies the data. The data are volumetric flow rate from the wave pump, and relative motion of the device between float and spar buoys. Flow rate is measured by flow meter, and relative motion is measured by lidar. Calibration data for the lidar and flow meter sensors are included. This data set also includes synchronous Sofar Spotter buoy data from a mooring approximately 300 feet away from the wave pump mooring. Video data from the deployment are included from both on-board the device sporadically throughout the deployment, and from a webcam for a short duration of the deployment. Hydrophone data were also taken co-currently, and are available by contacting Martin Wosnik at the University of New Hampshire. The Matlab code used to process the field data is incorporated. A biological assessment is included which aided the NEPA consultation process, prior to conducting the field deployment. A WEC-Sim numerical model of the wave pump, and a re-design effort are part of this work. Code used to validate the WEC-Sim model from the field data are also included.
Complete Metadata
| @type | dcat:Dataset |
|---|---|
| accessLevel | public |
| bureauCode |
[
"019:20"
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| contactPoint |
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"fn": "Chelsea Kimball",
"@type": "vcard:Contact",
"hasEmail": "mailto:Chelsea.Kimball@unh.edu"
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| description | This submission from AMEC (the Atlantic Marine Energy Center) includes data from an ocean field deployment of a wave powered water pump in March 2023. The wave pump is an upweller device, designed to enhance macroalgal aquaculture. The wave pump device was deployed off the coast of Isles of Shoals Appledore Island in Maine, USA. The data were collected using a custom-built DAQ module comprised of Arduino Unos. GPS time stamp accompanies the data. The data are volumetric flow rate from the wave pump, and relative motion of the device between float and spar buoys. Flow rate is measured by flow meter, and relative motion is measured by lidar. Calibration data for the lidar and flow meter sensors are included. This data set also includes synchronous Sofar Spotter buoy data from a mooring approximately 300 feet away from the wave pump mooring. Video data from the deployment are included from both on-board the device sporadically throughout the deployment, and from a webcam for a short duration of the deployment. Hydrophone data were also taken co-currently, and are available by contacting Martin Wosnik at the University of New Hampshire. The Matlab code used to process the field data is incorporated. A biological assessment is included which aided the NEPA consultation process, prior to conducting the field deployment. A WEC-Sim numerical model of the wave pump, and a re-design effort are part of this work. Code used to validate the WEC-Sim model from the field data are also included. |
| distribution |
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{
"@type": "dcat:Distribution",
"title": "Reports_Plans_Model_Code_Data_Results.zip",
"format": "zip",
"accessURL": "https://mhkdr.openei.org/files/499/AMEC%20Task%209%20-%20Milestone_Deliverables.zip",
"mediaType": "application/zip",
"description": "This compressed folder contains the milestone and deliverables for AMEC Task 9 - Power at Sea. Contents of note are provided with Roman numerals:
I) subfolder 'Deliverable9_4_2_Field Report' contains the data from laboratory and field tests of the wave powered water pump;
II) Sofar Spotter data from the field is included;
III) videos taken from the wave pump during the field deployment are in one subfolder;
IV) code used to process the data is included;
V) subfolder 'WEC_Sim' contains the example code and hydrodynamic files used to numerically model the wave pump device;
VI) field data took place 3/12/23 - 3/30/23 (with the Spotter data lasting until April 3rd);
VII) calibration data took place before and after these dates, with times clearly listed in the code;
VIII) field deployment location is Appledore Island, Maine;
IX) GPS coordinates for the wave pump are: 42° 59' 16.1" N, 70° 37' 8.5" W;
X) GPS coordinates for the Sofar Spotter buoy are: 42° 59' 14.8" N, 70° 37' 10.4" W"
},
{
"@type": "dcat:Distribution",
"title": "Evaluation of a Wave Powered Water Pump Performance by Ocean Field Testing and WEC-Sim Modeling.pdf",
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"accessURL": "https://mhkdr.openei.org/files/499/Evaluation%20of%20a%20Wave%20Powered%20Water%20Pump%20Performance%20by%20Ocean%20Field%20Testing%20and%20WEC-Sim%20Modeling.pdf",
"mediaType": "application/pdf",
"description": "Additional details - Kimball, M.S. Thesis"
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{
"@type": "dcat:Distribution",
"title": "READ_ME.txt",
"format": "txt",
"accessURL": "https://mhkdr.openei.org/files/499/MHKDR_0499_Read_Me.txt",
"mediaType": "text/plain",
"description": "Instructions for the model and code."
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|
| DOI | 10.15473/2000556 |
| identifier | https://data.openei.org/submissions/8067 |
| issued | 2023-03-21T06:00:00Z |
| keyword |
[
"AMEC",
"Appledore Island",
"DAQ module",
"Hydrokinetic",
"Isles of Shoals",
"MHK",
"Maine",
"Marine",
"Powering the Blue Economy",
"WEC",
"WEC-Sim",
"aquaculture",
"blue economy",
"code",
"east coast",
"energy",
"field testing",
"macroalgal aquaculture",
"performance",
"point absorber",
"power",
"processed data",
"raw data",
"technology",
"upweller",
"wave energy",
"wave energy converter"
]
|
| landingPage | https://mhkdr.openei.org/submissions/499 |
| license | https://creativecommons.org/licenses/by/4.0/ |
| modified | 2023-09-18T21:05:50Z |
| programCode |
[
"019:009"
]
|
| projectLead | Lauren Ruedy |
| projectNumber | EE0009450 |
| projectTitle | Atlantic Marine Energy Center |
| publisher |
{
"name": "University of New Hampshire, Atlantic Marine Energy Center (AMEC)",
"@type": "org:Organization"
}
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|
| title | Evaluation of a Wave Powered Water Pump Performance by Ocean Field Testing and WEC-Sim Modeling |
