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.
Citation Formats
University of New Hampshire, Atlantic Marine Energy Center (AMEC). (2023). Evaluation of a Wave Powered Water Pump Performance by Ocean Field Testing and WEC-Sim Modeling [data set]. Retrieved from https://dx.doi.org/10.15473/2000556.
Kimball, Chelsea, Swift, Rob, and Wosnik, Martin. Evaluation of a Wave Powered Water Pump Performance by Ocean Field Testing and WEC-Sim Modeling. United States: N.p., 21 Mar, 2023. Web. doi: 10.15473/2000556.
Kimball, Chelsea, Swift, Rob, & Wosnik, Martin. Evaluation of a Wave Powered Water Pump Performance by Ocean Field Testing and WEC-Sim Modeling. United States. https://dx.doi.org/10.15473/2000556
Kimball, Chelsea, Swift, Rob, and Wosnik, Martin. 2023. "Evaluation of a Wave Powered Water Pump Performance by Ocean Field Testing and WEC-Sim Modeling". United States. https://dx.doi.org/10.15473/2000556. https://mhkdr.openei.org/submissions/499.
@div{oedi_6089, title = {Evaluation of a Wave Powered Water Pump Performance by Ocean Field Testing and WEC-Sim Modeling}, author = {Kimball, Chelsea, Swift, Rob, and Wosnik, Martin.}, abstractNote = {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.}, doi = {10.15473/2000556}, url = {https://mhkdr.openei.org/submissions/499}, journal = {}, number = , volume = , place = {United States}, year = {2023}, month = {03}}
https://dx.doi.org/10.15473/2000556
Details
Data from Mar 21, 2023
Last updated Sep 18, 2023
Submitted Aug 18, 2023
Organization
University of New Hampshire, Atlantic Marine Energy Center (AMEC)
Contact
Chelsea Kimball
603.553.7237
Authors
Original Source
https://mhkdr.openei.org/submissions/499Research Areas
Keywords
MHK, Marine, Hydrokinetic, energy, power, wave energy, WEC, point absorber, aquaculture, upweller, DAQ module, WEC-Sim, field testing, performance, Maine, east coast, wave energy converter, Isles of Shoals, Appledore Island, technology, code, AMEC, Powering the Blue Economy, macroalgal aquaculture, raw data, processed data, blue economyDOE Project Details
Project Name Atlantic Marine Energy Center
Project Lead Lauren Ruedy
Project Number EE0009450