Review on layout optimization strategies of offshore parks for wave energy converters. (July 2022)
- Record Type:
- Journal Article
- Title:
- Review on layout optimization strategies of offshore parks for wave energy converters. (July 2022)
- Main Title:
- Review on layout optimization strategies of offshore parks for wave energy converters
- Authors:
- Teixeira-Duarte, Felipe
Clemente, Daniel
Giannini, Gianmaria
Rosa-Santos, Paulo
Taveira-Pinto, Francisco - Abstract:
- Abstract: Layout optimization of wave energy offshore parks is a challenging task, as it encompasses various design objectives and constraints attributed to the complex hydrodynamic interactions. The wave energy converter (WEC) park performance is affected by local environment and device characteristics. To solve this challenge, advanced numerical algorithms, including artificial intelligence, have been applied to a wide range of case studies. Nevertheless, this process remains incomplete, which keeps it as a pertinent research topic in the field of WEC development. The present paper provides an overview of the current state and research trends of offshore WEC park layout optimization. To analyze the state-of-the-art, the paper targets the last decades' research on this topic, summarizing the studies, addressing the optimization objective and the employed methods and separating them according to the corresponding technique. The review showed that the results strongly depend on the methodologies applied. Furthermore, a preferential use of computational intelligence techniques has been observed in recent years. Highlights: Introduction on computational intelligence techniques for WEC park layout optimization. Analytical and Semi-Analytical methods applied on layout optimization. Shares of applied optimization techniques in the literature for WEC parks. Around 50% of the last decade research used computational intelligence. Comparison of computational costs and reliabilityAbstract: Layout optimization of wave energy offshore parks is a challenging task, as it encompasses various design objectives and constraints attributed to the complex hydrodynamic interactions. The wave energy converter (WEC) park performance is affected by local environment and device characteristics. To solve this challenge, advanced numerical algorithms, including artificial intelligence, have been applied to a wide range of case studies. Nevertheless, this process remains incomplete, which keeps it as a pertinent research topic in the field of WEC development. The present paper provides an overview of the current state and research trends of offshore WEC park layout optimization. To analyze the state-of-the-art, the paper targets the last decades' research on this topic, summarizing the studies, addressing the optimization objective and the employed methods and separating them according to the corresponding technique. The review showed that the results strongly depend on the methodologies applied. Furthermore, a preferential use of computational intelligence techniques has been observed in recent years. Highlights: Introduction on computational intelligence techniques for WEC park layout optimization. Analytical and Semi-Analytical methods applied on layout optimization. Shares of applied optimization techniques in the literature for WEC parks. Around 50% of the last decade research used computational intelligence. Comparison of computational costs and reliability between methods. … (more)
- Is Part Of:
- Renewable & sustainable energy reviews. Volume 163(2022)
- Journal:
- Renewable & sustainable energy reviews
- Issue:
- Volume 163(2022)
- Issue Display:
- Volume 163, Issue 2022 (2022)
- Year:
- 2022
- Volume:
- 163
- Issue:
- 2022
- Issue Sort Value:
- 2022-0163-2022-0000
- Page Start:
- Page End:
- Publication Date:
- 2022-07
- Subjects:
- Computational intelligence techniques -- Wave energy -- Renewable energy -- Layout optimization -- Offshore parks -- Energy parks -- WEC arrays
Renewable energy sources -- Periodicals
Power resources -- Periodicals
Énergies renouvelables -- Périodiques
Ressources énergétiques -- Périodiques
333.794 - Journal URLs:
- http://www.sciencedirect.com/science/journal/13640321 ↗
http://www.elsevier.com/journals ↗
http://www.journals.elsevier.com/renewable-and-sustainable-energy-reviews ↗ - DOI:
- 10.1016/j.rser.2022.112513 ↗
- Languages:
- English
- ISSNs:
- 1364-0321
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 7364.186000
British Library DSC - BLDSS-3PM
British Library HMNTS - ELD Digital store - Ingest File:
- 21542.xml