Techno-Economic Optimization of SurgeWEC Device

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During this project, we created a plant-level parametrically driven cost and economic model that allowed us to study key technical parameters of Resolute Marine Energy's wave-powered desalination system. The model was developed by leveraging previous design and cost assessment efforts at RME, organizing and normalizing data sets, and augmenting data and models where required.

Key parameters studied included WEC-level factors (such as PTO rating and WEC size) and plant-level considerations (such as distance to shore, mobilization distance, and financing assumptions). The key metric considered during this project was the levelized cost of water. Eleven sensitivity studies were carried out to help understand design drivers. Because many design considerations remain at an early stage of development where uncertainties can dominate outcomes, uncertainty levels were estimated at the sub-system level and evaluated in the global context using statistical methods.

Citation Formats

Re Vision Consulting. (2022). Techno-Economic Optimization of SurgeWEC Device [data set]. Retrieved from https://mhkdr.openei.org/submissions/565.
Export Citation to RIS
Previsic, Mirko. Techno-Economic Optimization of SurgeWEC Device. United States: N.p., 20 Jan, 2022. Web. https://mhkdr.openei.org/submissions/565.
Previsic, Mirko. Techno-Economic Optimization of SurgeWEC Device. United States. https://mhkdr.openei.org/submissions/565
Previsic, Mirko. 2022. "Techno-Economic Optimization of SurgeWEC Device". United States. https://mhkdr.openei.org/submissions/565.
@div{oedi_565, title = {Techno-Economic Optimization of SurgeWEC Device}, author = {Previsic, Mirko.}, abstractNote = {During this project, we created a plant-level parametrically driven cost and economic model that allowed us to study key technical parameters of Resolute Marine Energy's wave-powered desalination system. The model was developed by leveraging previous design and cost assessment efforts at RME, organizing and normalizing data sets, and augmenting data and models where required.

Key parameters studied included WEC-level factors (such as PTO rating and WEC size) and plant-level considerations (such as distance to shore, mobilization distance, and financing assumptions). The key metric considered during this project was the levelized cost of water. Eleven sensitivity studies were carried out to help understand design drivers. Because many design considerations remain at an early stage of development where uncertainties can dominate outcomes, uncertainty levels were estimated at the sub-system level and evaluated in the global context using statistical methods.}, doi = {}, url = {https://mhkdr.openei.org/submissions/565}, journal = {}, number = , volume = , place = {United States}, year = {2022}, month = {01}}

Details

Data from Jan 20, 2022

Last updated Sep 16, 2024

Submission in progress

Organization

Re Vision Consulting

Contact

Mirko Previsic

916.977.3970

Authors

Mirko Previsic

Re Vision Consulting

DOE Project Details

Project Name Techno-Economic Optimization of the SurgeWEC Device

Project Lead Bill McShane

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