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Lee Research Group partnering with Ecobee, a leading smart thermostat company, to leverage the world’s most extensive energy utilization dataset

Ecobee, a leading smart thermostat company, gathered and organized a substantial dataset on energy utilization voluntary contributions from their smart thermostat customers. Through this partnership, we anticipate that our energy system optimization research, utilizing models based on real-world data, will have a significant impact in combatting climate change by effectively addressing real-life energy consumption patterns. We are grateful to Ecobee for generously sharing their invaluable database with us.

Wind Energy with Integrated Servo-control (WEIS) Project Highlighted by UofM Research + Innovation Newsletter

Our research on developing Wind energy with Integrated Servo-control (WEIS) toolset is highlighted by the University of Memphis Research + Innovation Newsletter. https://www.memphis.edu/research/impact/newsletter_2024/april24_stories/wind_energy_with_integrated_servo_control.php [Newsletter PDF] [Article PDF] Wind Energy with Integrated Servo-Control Floating offshore wind turbines, innovative renewable energy systems Floating offshore wind turbines are a relatively new technology designed to harness wind energy in deep-water regions where conventional fixed-foundation turbines are impractical. They offer several advantages over fixed foundation counterparts, including access to higher wind speeds and more expansive …

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Austin Griffin Successfully Defended His Master’s Thesis

Austin Griffin successfully defended his Master’s thesis. Congratulations to Austin for your graduation! Thesis Title Experimentally Supported Reduced Order Modeling for Hydrokinetic Energy System Design Abstract This research advances the field of hydrokinetic energy by introducing a novel control design approach, termed duct contraction control strategy (DCCS), that dynamically optimizes the power output of ducted horizontal axis hydrokinetic turbines (HAHkT). Focusing on the adjustment of duct contraction ratios (CR) and blade pitch in response to varying flow conditions, this strategy …

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Prof. Yong Hoon Lee attended ARPA-E OCEAN WEEK 2024 Event

Prof. Yong Hoon Lee attended OCEAN WEEK 2024 event annually hosted by the U. S. Department of Energy (DOE) Advanced Research Programs Agency-Energy (ARPA-E). At the event, Prof. Lee and other experts from various research institutes, industry, and professional communities convened to reflect outcomes and collaborations of the ocean-related research projects sponsored by the ARPA-E. Prof. Yong Hoon Lee is actively conducting research on the floating offshore wind turbine (FOWT) systems to unlock the clean energy potential of the ocean …

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Nowsheen Sharmili presented “Battery thermal management systems design considering model fidelity levels and design optimization utility” at the AIAA SciTech Forum 2024

Nowsheen Sharmili presented “Battery thermal management systems design considering model fidelity levels and design optimization utility” at the AIAA SciTech Forum 2024. [BibTeX] Abstract The electrification of transportation requires a robust and efficient design of battery thermal management systems (BTMSs). This study introduces a resistance-capacitance (RC) based reduced order model (ROM) with additional auxiliary state variables for accurately capturing transient thermal behavior. The study explores the trade-offs between model fidelity and utility in BTMS control co-design (CCD) applications. BTMSs manage …

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Chandler Cain Successfully Defended His Master’s Thesis

Chandler Cain successfully defended his Master’s thesis. Congratulations to Chandler for your graduation! Title Optimal Floating Platform Design for Offshore Energy Systems Abstract A comprehensive study on the hydro-structural design exploration of floating platforms for offshore energy systems was performed using iterative design techniques. The study aims to develop a novel design method that optimizes the structure of the platform for stable dynamic responses to ocean waves, ensuring that the motion of the platform as well as its acceleration are …

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Austin Griffin presented “Experimental identification of reduced order model parameters for hydrokinetic energy system design” at the ASME IMECE 2023

Austin Griffin presented “Experimental identification of reduced order model parameters for hydrokinetic energy system design” (Technical Presentation) at the ASME IMECE 2023. [BibTeX] Abstract This study presents the ongoing development of experimental validation and identification of the reduced order model (ROM) parameters for the horizontal axis hydrokinetic turbine (HAHkT) in the context of design optimization. It is crucial to optimize the HAHkT scale, external and internal geometry, rotor and blade design, and control scheme simultaneously to achieve cost-efficient energy conversion. …

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Chandler Cain presented “Hydro-structural design exploration of floating platform for offshore energy systems” at the ASME IMECE 2023

Chandler Cain presented “Hydro-structural design exploration of floating platform for offshore energy systems” at the ASME IMECE 2023. [BibTeX] [PDF] [DOI] Full Paper To Appear at the ASME Digital Collections Abstract This paper presents a comprehensive study on the hydro-structural design exploration of floating platforms for offshore energy systems. The study aims to develop a novel design method that optimizes the structure of the platform for stable dynamic responses to ocean waves, ensuring that the motion of the platform remains …

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Advancing Wind Farm Controls through Atmospheric Insights

We are initiating a study on advancing wind farm controls through atmospheric insights. The study will reveal how we use limited atmospheric measurement data in optimally control wind farms in collective ways. The hierarchical multidisciplinary design optimization with varied fidelity level will be used to train, estimate, and operate the target wind farms. Participating Students