The objective of this project is to optimize wind farm energy generation by minimizing turbine interaction through wake steering/yaw optimization.
Sponsored by: BP
Team Members
Margaret Heller Taggert Hudson Spencer Hurst Aryan Patil Nicholas Shultz Santrupth Vedanthi
Instructor: Hilal Ezgi Toraman
Project Poster
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Project Video
Project Summary
Overview
BP is a multinational organization that is headquartered in London. The team was tasked with the wind farm optimization project. The team implemented various models and simulations to demonstrate how wind turbine sites operate and how they can achieve maximum efficiency through yaw adjustments and wake steering. The simulation was integrated with a SCADA interface which displayed real-time power generation, yaw angle, and other relevant wind farm metrics while also serving as a control interface, all in a user-friendly manner.
Objectives
Gain a full understanding of the problem set that BP gave the team to develop. BP divided the team into two specific groups so that the project work could be more streamlined and efficient.
Group 1 focused on the PyWake and Streamlit software modeling portion. The group worked extensively on displaying data in a Streamlit user interface and executing functions using the backend PyWake calculations.
Group 2 focused on using SCADA software to create a control room GUI (graphical user interface) for a real-time wind asset which was modeled using MATLAB.
Approach
The team gathered customer needs from the sponsor BP and worked from their given list of deliverables.
The concept generation and selection were based on a mixture of different software that the team tested when working toward the project goals.
Relevant patents were analyzed but there were no wake steering optimization technologies found that used a digital twin.
The testing of the model was performed by feeding it data and determining if the outputted AEP values were plausible.
The team validated their model results by performing hand calculations to determine turbine AEP values and see if the model was outputting values that made sense.
Outcomes
Turbine AEP curve, a turbine layout for all nine of the BP onshore wind assets and a wind rose for all those assets.
Models to be used with real-time MET tower data to provide an increase in electricity produced by a wind farm.
Engineers working at BP who might not be familiar with the wind assets BP has can use this model to see the wind roses and turbine layouts for all nine of the onshore wind assets.