{
  "annotation_id": "677e8751-06e9-41c3-8b16-9c9973263b4d",
  "date_created": "2026-02-17T05:53:08.154000Z",
  "date_modified": "2026-02-17T05:53:08.154000Z",
  "file_hash": "1731efd925493aa29e6e12b703c2f1cb7cac8fd0434b17cba179f4a35983ab62",
  "private": false,
  "record": {
    "abstract": "Wake interactions in floating wind farms are inherently coupled to platform motion, yet most experimental studies to date neglect this two-way coupling by prescribing platform movements. This work presents a hardware-in-the-loop (HIL) wind-tunnel methodology to investigate wake interactions between two floating wind turbines with fully coupled aerodynamic loading and platform dynamics. The approach integrates physical wind-tunnel testing of two scaled rotors with a real-time numerical model that accounts for platform motion, mooring restoring forces, and hydrodynamic loads. Experiments conducted under low-turbulence inflow conditions show that a downstream turbine operating in the wake of an upstream turbine experiences reduced mean thrust and platform deflections due to the decreased inflow velocity, alongside enhanced low-frequency platform motions driven by increased turbulent energy in the wake. The proposed HIL framework provides a controlled experimental basis for studying wake-induced excitation mechanisms and supports the validation of floating wind farm models and control strategies.",
    "arxiv_id": "2601.06964",
    "authors": [
      "Alessandro Fontanella",
      "Kristjan Milic",
      "Alan Facchinetti",
      "Sara Muggiasca",
      "Marco Belloli"
    ],
    "categories": [
      "eess.SY",
      "cs.SY"
    ],
    "license": "http://creativecommons.org/licenses/by/4.0/",
    "title": "Hardware-in-the-loop wind-tunnel testing of wake interactions between two floating wind turbines",
    "url": "https://arxiv.org/abs/2601.06964",
    "version": "v1"
  },
  "schema_id": "dorsal/arxiv",
  "source": {
    "execution_id": "aff537ff-6614-4081-a98d-dc66492ef589",
    "id": "arXiv Dataset",
    "type": "Model",
    "variant": "snapshot-2026-01-17",
    "version": "0.1.0"
  },
  "user_id": 1000002
}