1 resultado para Statistical analysis techniques
em CORA - Cork Open Research Archive - University College Cork - Ireland
Filtro por publicador
- KUPS-Datenbank - Universität zu Köln - Kölner UniversitätsPublikationsServer (1)
- Aberdeen University (1)
- Abertay Research Collections - Abertay University’s repository (1)
- AMS Tesi di Dottorato - Alm@DL - Università di Bologna (23)
- AMS Tesi di Laurea - Alm@DL - Università di Bologna (6)
- Aquatic Commons (1)
- Archimer: Archive de l'Institut francais de recherche pour l'exploitation de la mer (1)
- Archive of European Integration (8)
- Aston University Research Archive (30)
- B-Digital - Universidade Fernando Pessoa - Portugal (1)
- Biblioteca de Teses e Dissertações da USP (2)
- Biblioteca Digital da Produção Intelectual da Universidade de São Paulo (20)
- Biblioteca Digital da Produção Intelectual da Universidade de São Paulo (BDPI/USP) (134)
- Biblioteca Virtual del Sistema Sanitario Público de Andalucía (BV-SSPA), Junta de Andalucía. Consejería de Salud y Bienestar Social, Spain (8)
- Biodiversity Heritage Library, United States (1)
- BORIS: Bern Open Repository and Information System - Berna - Suiça (38)
- Brock University, Canada (5)
- Bulgarian Digital Mathematics Library at IMI-BAS (4)
- CentAUR: Central Archive University of Reading - UK (32)
- CiencIPCA - Instituto Politécnico do Cávado e do Ave, Portugal (3)
- Cochin University of Science & Technology (CUSAT), India (9)
- Coffee Science - Universidade Federal de Lavras (1)
- Collection Of Biostatistics Research Archive (2)
- Comissão Econômica para a América Latina e o Caribe (CEPAL) (2)
- Consorci de Serveis Universitaris de Catalunya (CSUC), Spain (27)
- CORA - Cork Open Research Archive - University College Cork - Ireland (1)
- Corvinus Research Archive - The institutional repository for the Corvinus University of Budapest (2)
- Dalarna University College Electronic Archive (2)
- Digital Commons - Michigan Tech (1)
- Digital Commons at Florida International University (21)
- DigitalCommons@The Texas Medical Center (10)
- DigitalCommons@University of Nebraska - Lincoln (1)
- Doria (National Library of Finland DSpace Services) - National Library of Finland, Finland (13)
- DRUM (Digital Repository at the University of Maryland) (4)
- Duke University (1)
- FUNDAJ - Fundação Joaquim Nabuco (2)
- Galway Mayo Institute of Technology, Ireland (5)
- Institute of Public Health in Ireland, Ireland (1)
- Institutional Repository of Leibniz University Hannover (1)
- Instituto Politécnico do Porto, Portugal (16)
- Iowa Publications Online (IPO) - State Library, State of Iowa (Iowa), United States (9)
- Lume - Repositório Digital da Universidade Federal do Rio Grande do Sul (1)
- Martin Luther Universitat Halle Wittenberg, Germany (3)
- Massachusetts Institute of Technology (1)
- Memorial University Research Repository (1)
- National Center for Biotechnology Information - NCBI (4)
- Nottingham eTheses (4)
- Portal de Revistas Científicas Complutenses - Espanha (1)
- Portal do Conhecimento - Ministerio do Ensino Superior Ciencia e Inovacao, Cape Verde (2)
- Publishing Network for Geoscientific & Environmental Data (32)
- QSpace: Queen's University - Canada (1)
- QUB Research Portal - Research Directory and Institutional Repository for Queen's University Belfast (4)
- ReCiL - Repositório Científico Lusófona - Grupo Lusófona, Portugal (2)
- Repositório Aberto da Universidade Aberta de Portugal (2)
- Repositório Alice (Acesso Livre à Informação Científica da Embrapa / Repository Open Access to Scientific Information from Embrapa) (1)
- Repositório Científico da Universidade de Évora - Portugal (1)
- Repositório Científico do Instituto Politécnico de Lisboa - Portugal (10)
- Repositório da Produção Científica e Intelectual da Unicamp (52)
- Repositorio de la Universidad de Cuenca (1)
- Repositório digital da Fundação Getúlio Vargas - FGV (2)
- Repositório Institucional da Universidade de Aveiro - Portugal (1)
- Repositório Institucional da Universidade de Brasília (2)
- Repositório Institucional da Universidade Estadual de São Paulo - UNESP (1)
- Repositório Institucional da Universidade Federal do Rio Grande do Norte (1)
- Repositório Institucional UNESP - Universidade Estadual Paulista "Julio de Mesquita Filho" (130)
- Repositorio Institucional Universidad de Medellín (1)
- RUN (Repositório da Universidade Nova de Lisboa) - FCT (Faculdade de Cienecias e Technologia), Universidade Nova de Lisboa (UNL), Portugal (13)
- SAPIENTIA - Universidade do Algarve - Portugal (1)
- Scielo España (1)
- Scielo Saúde Pública - SP (34)
- Universidad de Alicante (8)
- Universidad del Rosario, Colombia (2)
- Universidad Politécnica de Madrid (41)
- Universidade Complutense de Madrid (2)
- Universidade do Minho (4)
- Universidade Federal de Uberlândia (1)
- Universidade Federal do Pará (3)
- Universidade Federal do Rio Grande do Norte (UFRN) (12)
- Universitat de Girona, Spain (15)
- Universitätsbibliothek Kassel, Universität Kassel, Germany (4)
- Université de Lausanne, Switzerland (28)
- Université de Montréal (1)
- Université de Montréal, Canada (13)
- University of Canberra Research Repository - Australia (1)
- University of Connecticut - USA (1)
- University of Michigan (23)
- University of Queensland eSpace - Australia (36)
- University of Washington (1)
Resumo:
The wave energy industry is entering a new phase of pre-commercial and commercial deployments of full-scale devices, so better understanding of seaway variability is critical to the successful operation of devices. The response of Wave Energy Converters to incident waves govern their operational performance and for many devices, this is highly dependent on spectral shape due to their resonant properties. Various methods of wave measurement are presented, along with analysis techniques and empirical models. Resource assessments, device performance predictions and monitoring of operational devices will often be based on summary statistics and assume a standard spectral shape such as Pierson-Moskowitz or JONSWAP. Furthermore, these are typically derived from the closest available wave data, frequently separated from the site on scales in the order of 1km. Therefore, variability of seaways from standard spectral shapes and spatial inconsistency between the measurement point and the device site will cause inaccuracies in the performance assessment. This thesis categorises time and frequency domain analysis techniques that can be used to identify changes in a sea state from record to record. Device specific issues such as dimensional scaling of sea states and power output are discussed along with potential differences that arise in estimated and actual output power of a WEC due to spectral shape variation. This is investigated using measured data from various phases of device development.