Yuting Huang | Energy Conversation | Best Researcher Award

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Dr. Yuting Huang, Energy Conversation, Best Researcher Award

Doctorate at Hunan University, China

Dr. Yuting Huang is a highly skilled engineer and researcher specializing in Civil and Hydraulic Engineering, with a focus on Heating, Ventilation, and Air Conditioning (HVAC). She is currently pursuing a Ph.D. at Hunan University, building upon her Master’s degree in Power Engineering and Engineering Thermophysics from Guangxi University, where she ranked 2nd out of 40 students. Dr. Huang’s academic journey began with a Bachelor’s degree in Built Environment and Energy Application Engineering from Wuhan Textile University, where she ranked 1st out of 80 students under the guidance of Prof. Guangcai Gong. Her expertise lies in areas such as indoor thermal and humid environments, indoor air quality, thermal comfort, comfort ventilation, building load, energy efficiency, and computational fluid dynamics (CFD) simulation. Dr. Huang’s research aims to optimize the thermal and humid environment of buildings, contributing to advancements in environmental comfort and energy efficiency.

Profile:

Education:

Ph.D. in Civil and Hydraulic Engineering (Heating, Ventilation, and Air Conditioning)

  • Institution: Hunan University
  • Duration: September 2022 – present

Master’s in Power Engineering and Engineering Thermophysics

  • Institution: Guangxi University
  • Duration: September 2018 – January 2021
  • Rank: 2nd out of 40 students

Bachelor’s in Built Environment and Energy Application Engineering

  • Institution: Wuhan Textile University
  • Duration: September 2014 – June 2018
  • Rank: 1st out of 80 students
  • Supervisor: Prof. Guangcai Gong

Professional Experience:

Dr. Yuting Huang’s professional experience includes working as a Computational Fluid Dynamics (CFD) Engineer in the CAE (Computer Aided Engineering) department at BYD Auto Industry Company Limited from March 2021 to August 2022. In this role, she was involved in various projects related to thermal comfort, air duct optimization, defrosting performance of air conditioners, battery cooling systems, air intake simulations for radiators, and wind resistance simulations. Additionally, Dr. Huang has been actively engaged in research and academic activities during her studies, focusing on areas such as indoor thermal and humid environments, indoor air quality, comfort ventilation, building load forecasting, and system optimization. Her work has contributed to advancements in understanding the dynamic response characteristics of air-carrying energy radiant diffuse terminals and optimization methods for the thermal and humid environment of buildings. Overall, Dr. Huang’s professional experience demonstrates her expertise in HVAC engineering, computational fluid dynamics, and research in building environmental engineering.

Research Interest:

Dr. Yuting Huang’s research interests lie at the intersection of Civil and Hydraulic Engineering, with a specialized focus on Heating, Ventilation, and Air Conditioning (HVAC) systems and building environmental engineering. Her primary areas of interest include optimizing the Indoor Thermal and Humid Environment to enhance comfort and energy efficiency. She is particularly interested in investigating Indoor Air Quality factors, such as pollutants and ventilation systems, to create healthier indoor spaces. Dr. Huang also delves into Thermal Comfort research, studying the interplay of temperature, humidity, and air movement for optimal occupant comfort. Her work extends to Comfort Ventilation strategies, Building Load analysis for energy optimization, and developing Energy Efficiency solutions for HVAC systems and building envelopes. Utilizing Computational Fluid Dynamics (CFD) Simulation techniques, she models airflow, heat transfer, and pollutant dispersion to inform design and operation decisions. Through her research, Dr. Huang aims to advance sustainable building practices and improve indoor environmental quality for enhanced occupant well-being.

Publication Top Noted:

Photovoltaic power forecasting based on a support vector machine with improved ant colony optimization

  • Authors: M Pan, C Li, R Gao, Y Huang, H You, T Gu, F Qin
  • Journal: Journal of Cleaner Production
  • Volume: 277
  • Pages: 123948
  • Cited By: 137
  • Year: 2020

Review on slagging evaluation methods of biomass fuel combustion

  • Authors: C Chen, Y Bi, Y Huang, H Huang
  • Journal: Journal of Analytical and Applied Pyrolysis
  • Volume: 155
  • Pages: 105082
  • Cited By: 61
  • Year: 2021

Accurate heating, ventilation and air conditioning system load prediction for residential buildings using improved ant colony optimization and wavelet neural network

  • Authors: Y Huang, C Li
  • Journal: Journal of Building Engineering
  • Volume: 35
  • Pages: 101972
  • Cited By: 48
  • Year: 2021

Effect of oxygen enriched atmospheres on combustion of bagasse, coal and theirs blends by thermogravimetric analysis

  • Authors: C Chen, Y Huang, S Yang, S Qin, F Chen
  • Journal: Journal of Environmental Chemical Engineering
  • Volume: 8 (5)
  • Pages: 104398
  • Cited By: 30
  • Year: 2020

Slagging tendency estimation of aquatic microalgae and comparison with terrestrial biomass and waste

  • Authors: C Chen, Y Huang, S Qin, D Huang, X Bu, H Huang
  • Journal: Energy
  • Volume: 194
  • Pages: 116889
  • Cited By: 30
  • Year: 2020