TEAMER: MADWEC Techno-Economic Analysis

Awaiting curation License 

The objective of this project was for the facility to conduct a techno-economic assessment of the Maximal Asymmetric Drag Wave Energy Converter (MADWEC), developed by the University of Massachusetts Dartmouth (UMass Dartmouth), used for powering remote monitoring and AUV charging systems compared to other existing power supply options. The assessment estimates capital expenditures (CapEx), operational expenditures (OpEx), and power performance for 18 scenarios with the purpose of identifying key cost drivers, comparing total system cost, and comparing the power performance of the power supply options in terms of required installed capacity and estimated theoretical annual energy performance. The scenarios include two end-uses: 1) AUV charging and 2) offshore remote monitoring); three power sources: 1) MADWEC), 2) photovoltaic (PV) solar buoy, 3) and traditional battery swapping); and three locations; 1) nearshore, 2) far-offshore, and 3) high-latitude). In addition, other project goals included developing high level installation, operation, and maintenance plans for each scenario. The techno-economic model, created in Microsoft Excel, estimates CapEx, OpEx, and the power performance of each power supply source. The model has a dynamic format that allows custom inputs to accommodate future changes to the systems being assessed.

Citation Formats

National Renewable Energy Laboratory. (2024). TEAMER: MADWEC Techno-Economic Analysis [data set]. Retrieved from https://mhkdr.openei.org/submissions/561.
Export Citation to RIS
Ortega, Tina, Baca, Elena. TEAMER: MADWEC Techno-Economic Analysis. United States: N.p., 08 Mar, 2024. Web. https://mhkdr.openei.org/submissions/561.
Ortega, Tina, Baca, Elena. TEAMER: MADWEC Techno-Economic Analysis. United States. https://mhkdr.openei.org/submissions/561
Ortega, Tina, Baca, Elena. 2024. "TEAMER: MADWEC Techno-Economic Analysis". United States. https://mhkdr.openei.org/submissions/561.
@div{oedi_561, title = {TEAMER: MADWEC Techno-Economic Analysis}, author = {Ortega, Tina, Baca, Elena.}, abstractNote = {The objective of this project was for the facility to conduct a techno-economic assessment of the Maximal Asymmetric Drag Wave Energy Converter (MADWEC), developed by the University of Massachusetts Dartmouth (UMass Dartmouth), used for powering remote monitoring and AUV charging systems compared to other existing power supply options. The assessment estimates capital expenditures (CapEx), operational expenditures (OpEx), and power performance for 18 scenarios with the purpose of identifying key cost drivers, comparing total system cost, and comparing the power performance of the power supply options in terms of required installed capacity and estimated theoretical annual energy performance. The scenarios include two end-uses: 1) AUV charging and 2) offshore remote monitoring); three power sources: 1) MADWEC), 2) photovoltaic (PV) solar buoy, 3) and traditional battery swapping); and three locations; 1) nearshore, 2) far-offshore, and 3) high-latitude). In addition, other project goals included developing high level installation, operation, and maintenance plans for each scenario. The techno-economic model, created in Microsoft Excel, estimates CapEx, OpEx, and the power performance of each power supply source. The model has a dynamic format that allows custom inputs to accommodate future changes to the systems being assessed. }, doi = {}, url = {https://mhkdr.openei.org/submissions/561}, journal = {}, number = , volume = , place = {United States}, year = {2024}, month = {03}}

Details

Data from Mar 8, 2024

Last updated Aug 21, 2024

Submitted Aug 20, 2024

Organization

National Renewable Energy Laboratory

Contact

Christina Ortega

720.560.5602

Authors

Tina Ortega

National Renewable Energy Laboratory

Elena Baca

National Renewable Energy Laboratory

Keywords

marine, energy, TEAMER

DOE Project Details

Project Name Testing Expertise and Access for Marine Energy Research

Project Lead Lauren Ruedy

Project Number EE0008895

Share

Submission Downloads