dc.contributor.author | Gargallo Peiró, Abel |
dc.contributor.author | Revilla Mut, Gonzalo |
dc.contributor.author | Avila Salinas, Matías Oscar |
dc.contributor.author | Houzeaux, Guillaume |
dc.contributor.other | Universitat Politècnica de Catalunya. Departament d'Enginyeria Civil i Ambiental |
dc.contributor.other | Barcelona Supercomputing Center |
dc.date.accessioned | 2022-12-01T13:20:19Z |
dc.date.available | 2022-12-01T13:20:19Z |
dc.date.issued | 2022-11-24 |
dc.identifier.citation | Gargallo, A. [et al.]. A level set-based actuator disc model for turbine realignment in wind farm simulation: meshing, convergence and applications. "Energies", 24 Novembre 2022, vol. 15, núm. 23, article 8877, p. 1-24. |
dc.identifier.issn | 1996-1073 |
dc.identifier.uri | http://hdl.handle.net/2117/377533 |
dc.description.abstract | We present a novel meshing and simulation approach for wind farms, featuring realignment and mesh adaptation. The turbines are modeled with actuator discs, which are discretized by means of an adaptation process to represent a level set function. The level-set-based simulation framework is combined with an adaptation cycle to capture both the solution and the actuator discs. In addition, we devise a turbine realignment process which takes into account the actual flow in the actuator disc configuration. Several results are presented to highlight the features of the approach. First, the adaptive simulation approach is validated, fulfilling the theoretical convergence rates and improving the accuracy of the boundary tight representations. Second, the adaptive simulation process is applied to a full wind farm configuration featuring 219 turbines, illustrating that is it well devised for complex wind farm configurations. Third, the turbine reorientation process is validated in a one turbine scenario. Finally, the realignment simulation framework is applied in a wind farm featuring 115 turbines. The presented results outline the significance of the proposed work, enabling turbine realignment and mesh adaptation to perform accurate simulations of complex wind farm configurations. |
dc.description.sponsorship | This research was funded by Grant IJC2020-045140-I from MCIN/AEI/10.13039/501100011 033 and “European Union NextGenerationEU/PRTR”, and by the European Union’s Horizon 2020 Programme under the CoE RAISE project grant agreement Id 951733. |
dc.format.extent | 24 p. |
dc.language.iso | eng |
dc.rights | Attribution 4.0 International |
dc.rights.uri | http://creativecommons.org/licenses/by/4.0/ |
dc.subject | Àrees temàtiques de la UPC::Energies::Energia eòlica |
dc.subject.lcsh | Wind power plants |
dc.subject.lcsh | Wind turbines |
dc.subject.other | Wind farms |
dc.subject.other | Actuator disc |
dc.subject.other | Level set |
dc.subject.other | Adaptation |
dc.subject.other | Mesh generation |
dc.title | A level set-based actuator disc model for turbine realignment in wind farm simulation: meshing, convergence and applications |
dc.type | Article |
dc.subject.lemac | Parcs eòlics |
dc.subject.lemac | Aerogeneradors |
dc.identifier.doi | 10.3390/en15238877 |
dc.description.peerreviewed | Peer Reviewed |
dc.relation.publisherversion | https://www.mdpi.com/1996-1073/15/23/8877 |
dc.rights.access | Open Access |
local.identifier.drac | 34922354 |
dc.description.version | Postprint (published version) |
dc.relation.projectid | info:eu-repo/grantAgreement/EC/H2020/951733/EU/Research on AI- and Simulation-Based Engineering at Exascale/RAISE |
local.citation.author | Gargallo, A.; Revilla, G.; Avila-Salinas, M. O.; Houzeaux, G. |
local.citation.publicationName | Energies |
local.citation.volume | 15 |
local.citation.number | 23, article 8877 |
local.citation.startingPage | 1 |
local.citation.endingPage | 24 |