Dun Yuan Tan

Implementation Consultant at Natel Energy
  • Claim this Profile
Contact Information
us****@****om
(386) 825-5501
Location
Cambridge, Massachusetts, United States, US
Languages
  • Chinese Native or bilingual proficiency
  • Cantonese Professional working proficiency
  • English Native or bilingual proficiency
  • Malay Limited working proficiency

Topline Score

Topline score feature will be out soon.

Bio

Generated by
Topline AI

You need to have a working account to view this content.
You need to have a working account to view this content.

Experience

    • United States
    • Renewable Energy Power Generation
    • 1 - 100 Employee
    • Implementation Consultant
      • Jun 2023 - Present

  • MIT Laboratory for Aviation and the Environment
    • Boston, Massachusetts, United States
    • Graduate Research Assistant
      • Sep 2021 - Jun 2023

      FAA funded project assessing different pathways to electrify aviation: - Assessing the feasibility and costs (Direct Operating, climate, investment) of different pathways to electrify aviation (liquid hydrogen (LH2), SAF) - Design and optimization of a range of alternate fueled aircraft FAA funded project assessing different pathways to electrify aviation: - Assessing the feasibility and costs (Direct Operating, climate, investment) of different pathways to electrify aviation (liquid hydrogen (LH2), SAF) - Design and optimization of a range of alternate fueled aircraft

    • Business Consulting and Services
    • 700 & Above Employee
    • Sustainability Consultant
      • Jun 2022 - Sep 2022

    • United States
    • Renewable Energy Power Generation
    • 1 - 100 Employee
    • Hydraulics Design Engineer- Intern
      • Jun 2020 - Oct 2020

      • Optimization of the design of a fish-safe hydro turbine utilizing CFD, adjoint methods, Multi-Disciplinary Optimization (MDO), and data analysis. • Automated a process to extract geometrical and flow features from STAR-CCM+ Computational Fluid Dynamics simulations, creating a library of designs for data analysis in python. • Data analysis on the library helped lead to a design change that increased efficiency by 2%. • Further use of adjoint to locally optimize the hydro turbine. • Created a surrogate model using a Neural Network compartmentalized into parts of a turbine. • Utilized CFD to predict cavitation in existing turbine and results were coherent with experimental data Show less

    • China
    • Research Services
    • 700 & Above Employee
    • Green Car and Autonomous Vehicle
      • Jul 2018 - Jul 2018

      • Sponsored by Santander Universities and Imperial College for a Summer School on Autonomous and Electric Vehicle. • Opportunity to visit companies such as BMW China and Great Wall Motors to understand their operations and manufacturing procedures. • Participated in the final team project based on the ideas learnt which include developing algorithms for automation, 3-D printing and planning. We won the first place in the final competition. • Sponsored by Santander Universities and Imperial College for a Summer School on Autonomous and Electric Vehicle. • Opportunity to visit companies such as BMW China and Great Wall Motors to understand their operations and manufacturing procedures. • Participated in the final team project based on the ideas learnt which include developing algorithms for automation, 3-D printing and planning. We won the first place in the final competition.

Education

  • Massachusetts Institute of Technology
    Master's degree, Aerospace, Aeronautical and Astronautical Engineering
    2021 - 2023
  • Imperial College London
    Master of Engineering - MEng, Aerospace, Aeronautical and Astronautical Engineering
    2017 - 2021
  • Sunway University
    A levels, 4 A*
    2016 - 2017
  • Massachusetts Institute of Technology
    Master of Engineering - MEng, Aerospace, Aeronautical and Astronautical Engineering
    2021 - 2023

Community

You need to have a working account to view this content. Click here to join now