Utilize este identificador para referenciar este registo:
http://hdl.handle.net/10362/64843
Título: | A methodology for assessing the impact of the interannual variability of wave energy resource on electrical energy conversion |
Autor: | Amaro, Nuno Lopes, Rui Amaral Pina, Joao Murta Agostinho, Carlos Abreu, Francisco Torrado, David |
Palavras-chave: | BigDataOcean wave assessment wave energy Control and Optimization Artificial Intelligence Electrical and Electronic Engineering Energy Engineering and Power Technology |
Data: | 17-Out-2018 |
Editora: | Institute of Electrical and Electronics Engineers (IEEE) |
Citação: | Amaro, N., Lopes, R. A., Pina, J. M., Agostinho, C., Abreu, F., & Torrado, D. (2018). A methodology for assessing the impact of the interannual variability of wave energy resource on electrical energy conversion. In 2018 International Conference on Smart Energy Systems and Technologies, SEST 2018 - Proceedings Article 8495676 Institute of Electrical and Electronics Engineers (IEEE). https://doi.org/10.1109/SEST.2018.8495676 |
Resumo: | This paper presents a methodology to assess the wave energy potential and the impact of inter-annual variability of the resource in overall energy production. This methodology was developed in the scope of a running H2020 project named Big-DataOcean, which aims to create a data repository and service marketplace for the maritime sector. The methodology is applied considering data from two different locations in the Portuguese coast for the years of2016 and 2017. Additionally, two wave energy converters are also used to verify the impact of inter-annual variability in the energy production through well-established KPI's. |
Peer review: | yes |
URI: | http://www.scopus.com/inward/record.url?scp=85056552924&partnerID=8YFLogxK |
DOI: | https://doi.org/10.1109/SEST.2018.8495676 |
ISBN: | 978-153865326-5 |
Aparece nas colecções: | FCT: DEE - Documentos de conferências internacionais |
Ficheiros deste registo:
Ficheiro | Descrição | Tamanho | Formato | |
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08495676.pdf | 1,57 MB | Adobe PDF | Ver/Abrir |
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