Document of bibliographic reference 366408

BibliographicReference record

Type
Bibliographic resource
Type of document
Journal article
BibLvlCode
AS
Title
A scalable wave resource assessment methodology: application to U.S. waters
Abstract
Waves deliver large quantities of energy to populated coastlines around the world, and wave energy technology research and development has accelerated over the last two decades. Throughout this time national and regional resource assessments have utilized disparate methodologies, which can cause confusion and skepticism. In this work, we describe a theoretical wave resource assessment methodology that addresses many of the major areas of inconsistency and debate. Applying this revised methodology to U.S. waters, we find the theoretical U.S. wave energy resource to be 3300 TWh/yr, with region totals of 2000 TWh/yr in Alaska, 510 TWh/yr along the U.S. west coast, 380 TWh/yr in Hawaii, 290 TWh/yr along the east coast, 69 TWh/yr in the Gulf of Mexico, and 17 TWh/yr in Puerto Rico and the U.S. Virgin Islands. We also find significant uncertainty in these estimates associated with the underlying model dataset, which emphasizes the importance of thorough model validation and calibration as well as quantifying uncertainty.
WebOfScience code
https://www.webofscience.com/wos/woscc/full-record/WOS:001070832500001
Bibliographic citation
Kilcher, L.; García Medina, G.; Yang, Z. (2023). A scalable wave resource assessment methodology: application to U.S. waters. Renew. Energy 217: 119094. https://dx.doi.org/10.1016/j.renene.2023.119094
Topic
Marine
Is peer reviewed
true

Authors

author
Name
Levi Kilcher
author
Name
Gabriel García Medina
author
Name
Zhaoqing Yang

Links

referenced creativework
type
DOI
accessURL
https://dx.doi.org/10.1016/j.renene.2023.119094

Document metadata

date created
2023-09-04
date modified
2023-09-04