Optimisation of Tidal energy Converter Arrays
Sector: Education • Location: Portugal
Source: EU Funding & Tenders Portal
As technology readiness level of Tidal Energy Converters (TECs) increases, moving from prototype demonstration to commercialisation, research efforts are focusing on TEC arrays layout optimisation to reduce costs and become competitive in comparison with other energy systems. Even though there are several prototypes of different scales that have been tested on the last years (mostly under controll
Project Information FAQ
Project Information
Want to explore the full details? View the full report
Participants
Sponsoring Agency | Obfuscated Data |
Company | Obfuscated Data |
Status
Original status | ended |
Taiyo status | Obfuscated Data |
Taiyo last update | 00-00-0000 |
Available timestamps | 00-00-0000 |
Available timestamp type | Obfuscated Data |
Contact
Contact name | Obfuscated Data |
Phone | 0000000000 |
ObfuscatedData@email.com | |
Address | Obfuscated Data, Obfuscated data, obfuscated data, Obfuscated data |
Description
Description | As technology readiness level of Tidal Energy Converters (TECs) increases, moving from prototype demonstration to commercialisation, research efforts are focusing on TEC arrays layout optimisation to reduce costs and become competitive in comparison with other energy systems. Even though there are several prototypes of different scales that have been tested on the last years (mostly under controlled conditions) there is limited data on deployments in real conditions which negatively affects the accurate formulation of constrained problems on array schemes resulting on incomplete layout optimisation models. This project aims to provide a significant contribution towards the understanding of (a) the effects of TECs interactions with the environment; (b) the capabilities and limitations of common strategies used for the numerical modelling of TECs; and (c) how to mathematically formulate optimisation models to solve the TEC array layout problem considering technical, socio-economic and environmental constraints. From the methodology point of view, constraint optimisation models will be mathematically formulated considering ocean energy protocols, data collected from in-field measurements of prototypes tested in real environments and with surrogates built from validated numerical simulations. The outcomes of the project will contribute to improve common guidelines and standards for licensing tidal energy projects and de-risk financial investment. The Experienced Researcher (ER) will emerge from the project with an in-depth knowledge of tidal stream energy, training in mathematical optimisation and on new skills in data collection, increased competence on numerical modelling, and strong skills in research project management and coordination. This will grant him the capacity of achieving maturity as a researcher on ocean energy, a new emerging sector with great growth potential. |
Original sub-sector | Obfuscated |
Original Currency | USD |
Original budget | 000000000000000 |
Procurement method | Obfuscated Data |
Budget | 000000000000000 |
Location
Region | Obfuscated |
Country | Obfuscated |
State | Obfuscated Data |
County | Obfuscated |
Location | Obfuscated Data, Obfuscated data, obfuscated data, Obfuscated data |
Source
Source reliability | High |
Data quality score | 100% |
Source | Obfuscated Data |
URL | obfuscated_data,obfuscateddata.com |
More Details
Project Type | Obfuscated Data |
Article Published Date | Obfuscated Data |
