@misc{feffa0753c7e47f5aa0fd6ce2d50c1f0,
title = "Repurposing Inactive Oil and Gas Wells for Energy Storage: Maximizing the Potential via Optimal Drivetrain Control",
abstract = "In recent years, there is a growing emphasis on utilizing energy storage for improving the grid resilience to withstand and recover from disruptive events. At the same time, as renewable energy supply continues to grow, the application of gravity -based solutions such as pumped hydro dominate the commercial space, however, is challenged by the availability, scalability, and cost of co-locating solar and wind energy. Repurposing numerous idle and orphaned oil wells that are conveniently located closer to existing grid infrastructure offers a promising low-cost alternative. The successful implementation of such a gravity energy storage system however requires optimized operation and control of an electromechanical drivetrain system that helps minimize the levelized costs of storage and maximize efficiency and revenue. This paper specifically addresses this task through the optimization and control of a regenerative drive system that is coupled to an interior permanent magnet synchronous machine driving a 100N weight in a 300m well. A dynamic MATLAB/Simulink model is used to simulate the operation of the electric drivetrain system during storage and discharge operations. The results showed initial round-trip efficiency of 85.9% from the electrical system alone and outline the factors that are crucial for maximizing the efficiency.",
keywords = "gravity energy storage, maximum torque per ampere control, permanent magnet synchronous motor, PWM rectifier",
author = "Shubham Sundeep and Latha Sethuraman and Dayo Akindipe and Lee Fingersh and Zach Wenrick and Aaron Munoz",
year = "2023",
language = "American English",
series = "Presented at the International Conference on Power Electronics, Machines, and Drives (PEMD), 23-24 October 2023, Brussels, Belgium",
type = "Other",
}