Jie Zhang is an Assistant Professor of Mechanical Engineering. Dr. Zhang's research interests include:
- Multidisciplinary design optimization,
- Complex engineered systems,
- Power & energy systems,
- Renewable energy,
- Grid modernization,
- Big data analytics,
- Probabilistic design
Works in Treasures @ UT Dallas are made available exclusively for educational purposes such as research or instruction. Literary rights, including copyright for published works held by the creator(s) or their heirs, or other third parties may apply. All rights are reserved unless otherwise indicated by the copyright owner(s).
Design a J-Type Air-Based Battery Thermal Management System Through Surrogate-Based Optimization (Elsevier Ltd, 2019-06-11)Battery thermal management system is of great importance to the performance and safety of electric vehicles. The conventional U- and Z-type air-based structures may fail to meet the thermal requirements under changing ...
Probabilistic Short-term Wind Forecasting Based on Pinball Loss Optimization Probabilistic wind power forecasts that quantify the uncertainty in wind output have the potential to aid in the economic grid integration of wind power at large penetration levels. In this paper, a novel probabilistic ...
Grid Optimization of Shared Energy Storage Among Wind Farms Based on Wind Forecasting Energy storage is crucial for source-side renewable energy power plants for enhancing output stability and reducing mismatch between power generation and demand. However, installing large size energy storage systems for ...
Break-Even Analysis of Battery Energy Storage in Buildings Considering Time-Of-Use Rates As energy consumption in residential and commercial buildings continues to grow, demand-side management (DSM) for energy systems becomes crucial, because DSM can shift energy use from peak to off-peak hours. In order to ...
Probability Density Function Characterization for Aggregated Large-Scale Wind Power Based on Weibull Mixtures (MDPI Ag, 2016-02-02)The Weibull probability distribution has been widely applied to characterize wind speeds for wind energy resources. Wind power generation modeling is different, however, due in particular to power curve limitations, wind ...