CORE
🇺🇦
make metadata, not war
Services
Services overview
Explore all CORE services
Access to raw data
API
Dataset
FastSync
Content discovery
Recommender
Discovery
OAI identifiers
OAI Resolver
Managing content
Dashboard
Bespoke contracts
Consultancy services
Support us
Support us
Membership
Sponsorship
Community governance
Advisory Board
Board of supporters
Research network
About
About us
Our mission
Team
Blog
FAQs
Contact us
Verification within wave resource assessments. Part 2: Systematic trends in the fit of spectral values
Authors
E.C. Edwards Cradden, L.C. Ingram, D.M. Kalogeri, C.
Publication date
1 January 2014
Publisher
Abstract
Interest in wave energy as a viable renewable energy has increased greatly in the past couple of decades. To determine the potential that a certain location has to harvest wave energy, a resource assessment must be performed for that location. As wave energy converter technologies get closer to market, it is becoming necessary to undertake more detailed resource assessments to determine the optimal location for deployment as well as the design and operating sea states. This study shows the level of sophistication that must be included in the verification process within a wave resource assessment. We describe the methodology in two articles. Part 1 described a procedure for a complete statistical analysis of the fit of the model. This paper will demonstrate how investigating systematic trends in the fit of spectral values is essential for determining the precise problem areas of the model and is thus required as part of the verification processes. Lacking this detail could mean failing to notice potentially vital issues for energy extraction at the location of interest. The identification of specific problem areas will enable a well-informed consideration of the necessary next steps for improved prediction of energy extraction. © 2014 Elsevier Ltd. All rights reserved
Similar works
Full text
Available Versions
Pergamos : Unified Institutional Repository / Digital Library Platform of the National and Kapodistrian University of Athens
See this paper in CORE
Go to the repository landing page
Download from data provider
oai:lib.uoa.gr:uoadl:3036264
Last time updated on 10/02/2023