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Description: To showcase the capabilities of the integrated workflow, We plan on testing the scenarios with the FBOWF that already have been granted permits for construction, which can be found in the literature [26]. Three different approaches are going to be tested for the optimizations. Deliverable 1: Approach using discrete optimization where three options of technologies are allowed to be placed, including floating wind, wave energy, or tidal energy; Deliverable 2: Approach where wake-affected areas are handled as exclusion zones as in [12], in which only marine energy is allowed; Deliverable 3: Approach where only offshore wind technologies (FBOWF or FWF) are allowed. As mentioned before, different metrics for the objective function of the optimizations will be considered, including AEP, LCOE, NPV, and potentially others.
Overdue by 1 year(s)•Due by March 31, 2025Description: The analysis relevant to marine energy, including wave and tidal energy, is intended to be performed by adapting available libraries in the literature. These include, as mentioned before, packages such as WECSimand an updated and altered version of OpenTidalFarm. Our goal is to have versions of these libraries that are sufficiently suitable to achieve the objective of this work: a pre-assessment and pre-design tool that allows quick evaluation of marine energy technologies. Then, we couple the marine energy and wind energy evaluation components and wrap them together for integration and design analysis. An in-house code is coupled into the workflow to compute all the costs associated with electrical infrastructure. Deliverable: Python code + Jupyter Notebook showing a simplified optimization workflow for wind-marine systems. The optimizer driver can be a simple one just to demonstrate.
Overdue by 1 year(s)•Due by February 15, 2025Description: Implement Python code for modeling the Electrical Collection System for wind farms using in-house code and/or literature's code (DTU codes)
Overdue by 1 year(s)•Due by December 11, 2024Description: Develop a workflow to couple PyWake and OpenFast to marine energy packages such as Wave Energy Simulator (WEC) and OpenTidal. Other packages may be included if relevant/necessary. Deliverable: detailed PowerPoint presentation (1 hour) showing examples of WEC, OpenTidal, and OpenFast. A Python code for a Class capable of integrating PyWake/OpenFast/WEC and OpenTidal. Simple Jupyter Notebook showing plans for the integrated optimization using OpenMDAO.
Overdue by 1 year(s)•Due by November 30, 2024Description: Benchmark wake models against mid to high-fidelity models and experimental farm-to-farm interaction data from the literature. Deliverable: Jupyter Notebook comparing wake models and DWM with experimental data from the literature and mid/high-fidelity simulations.
Overdue by 1 year(s)•Due by October 31, 2024Description: Implement Dynamic Wake Meandering (DWM) in PyWake. Deliverable: Jupyter Notebook example showing a simulation of the Vineyard Wind using DWM.
Overdue by 1 year(s)•Due by September 30, 2024