Hydrodynamic changes imposed by tidal energy converters on extracting energy on a real case scenario

A. Pacheco, Ó. Ferreira
2016 Applied Energy  
7 The development on tidal turbine technology is ongoing with focus on several aspects, 8 including hydrodynamics, operation and environment. Before considering an area for 9 exploitation, tidal energy resource assessments in pre-feasibility energy extraction areas 10 must include the relevant characteristics of the device to be used. The present paper uses 11 the momentum source approach to represent a floatable tidal energy converter (TECs) in 12 a coastal hydro-morphodynamic model and to
more » ... orm model simulations utilising 13 different TEC array schemes by quantifying the aggregated drag coefficient of the 14 device array. Simulations for one-month periods with nested models were performed to 15 evaluate the hydrodynamic impacts of energy extraction using as output parameters the 16 reduction in velocity and water-level variation differences against a no-extraction 17 scenario. The case study focuses on representing the deployment of floatable E35 18 Evopod TECs in Sanda Sound (South Kintyre, Argyll, Scotland). The range in power 19 output values from the simulations clearly reflects the importance of choosing the 20 location of the array, as slight changes in the location (of <1 km) can approximately 21 double the potential power output. However, the doubling the installed capacity of 22 TECs doubles the mean velocity deficit and water-level differences in the area 23 surrounding the extraction point. These differences are amplified by a maximum factor 24 of 4 during peak flood/ebb during spring tides. In the simulations, the drag coefficient is 25 set to be constant, which represents a fixed operational state of the turbine, and is a 26 limitation of coastal models of this type that cannot presently be solved. Nevertheless, 27 the nesting of models with different resolutions, as presented in this paper, makes it 28 possible to achieve continuous improvements in the accuracy of the quantification of 29 momentum loss by representing turbine characteristics close to the scale of the turbine. 30 31
doi:10.1016/j.apenergy.2016.07.132 fatcat:y7te63upjrco7b7udszmmfnm3q