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Title: Evaluation of a Wave Powered Water Pump Performance by Ocean Field Testing and WEC-Sim Modeling

Abstract

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. Amore » 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.« less

Authors:
; ;
Publication Date:
Other Number(s):
499
DOE Contract Number:  
EE0009450
Research Org.:
Marine and Hydrokinetic Data Repository (MHKDR); University of New Hampshire, Atlantic Marine Energy Center (AMEC)
Sponsoring Org.:
USDOE Office of Energy Efficiency and Renewable Energy (EERE), Renewable Power Office. Water Power Technologies Office (EE-4WP)
Collaborations:
University of New Hampshire, Atlantic Marine Energy Center (AMEC)
Subject:
16 Tidal and Wave Power
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 economy
Geolocation:
42.987806, -70.619028
OSTI Identifier:
2000556
DOI:
https://doi.org/10.15473/2000556
Project Location:


Citation Formats

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., 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. doi:https://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. doi:https://doi.org/10.15473/2000556. https://www.osti.gov/servlets/purl/2000556. Pub date:Tue Mar 21 00:00:00 EDT 2023
@article{osti_2000556,
title = {Evaluation of a Wave Powered Water Pump Performance by Ocean Field Testing and WEC-Sim Modeling},
author = {Kimball, Chelsea and 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},
journal = {},
number = ,
volume = ,
place = {United States},
year = {Tue Mar 21 00:00:00 EDT 2023},
month = {Tue Mar 21 00:00:00 EDT 2023}
}