Asha Shibu, E.I.T, Leed®Green Associate

Asha Shibu, E.I.T, Leed®Green Associate

Graduate Research Assistant Renewable Energy Systems Group @ Ridge

About Asha Shibu, E.I.T, Leed®Green Associate

Asha Shibu is a Graduate Research Assistant in the Renewable Energy Systems Group at Oak Ridge National Laboratory, where she has worked since 2018. She holds a PhD in Energy Science and Engineering from the University of Tennessee, Knoxville, and has a background in energy efficiency research and analysis.

Current Work at Oak Ridge National Laboratory

Asha Shibu currently serves as a Graduate Research Assistant in the Renewable Energy Systems Group at Oak Ridge National Laboratory. She has held this position since 2018, contributing to various research initiatives focused on renewable energy technologies. Her work involves analyzing energy systems and developing methodologies to enhance energy efficiency.

Previous Experience in Energy Research

Prior to her current role, Asha Shibu worked as a Research Assistant in the Energy Efficiency Research and Analysis Group at Oak Ridge National Laboratory from 2017 to 2018. She also gained experience as a Student Assistant at the TEES Mary Kay O'Connor Process Safety Center at Texas A&M University for two months in 2017, and as a Graduate Engineering Intern at Kerala State Electricity Board from 2015 to 2016.

Educational Background in Energy Science

Asha Shibu is pursuing a Doctor of Philosophy (PhD) in Energy Science and Engineering at the University of Tennessee, Knoxville, since 2018. She holds a Master of Science (M.S.) in Energy, Environment, and Natural Resources Law from Texas A&M University, completed in 2017. Additionally, she earned a Bachelor of Technology (B.Tech.) in Electrical and Electronics Engineering from Rajiv Gandhi Institute of Technology, Kottayam, in 2015.

Contributions to Energy Projects

Asha Shibu has been involved in significant projects during her research career. She performed time series analysis on datasets provided by the Tennessee Valley Authority using Python and Excel. She developed a proposal to identify indicators of dispatch variability on hydropower assets, aimed at predicting cost, availability, and reliability. Furthermore, she investigated the feasibility of analyzing a hydropower facility as a signal processor, a project funded by the Water Power Technologies Office of the U.S. Department of Energy.

Involvement in Professional Organizations

Asha Shibu has actively participated in professional organizations, serving as the GRADSWE Department Representative for the Society of Women Engineers in 2017. In this role, she represented graduate students and contributed to initiatives supporting women in engineering. Additionally, she worked as a Student Energy Analyst at the Industrial Assessment Center at Texas A&M University from 2016 to 2017.

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