Zhen Zhang

ORCID: 0000-0002-5891-6615
Publications
Citations
Views
---
Saved
---
About
Contact & Profiles
Research Areas
  • Photovoltaic System Optimization Techniques
  • solar cell performance optimization
  • Solar Thermal and Photovoltaic Systems
  • Data Stream Mining Techniques
  • Solar Radiation and Photovoltaics
  • Advanced Database Systems and Queries
  • Data Management and Algorithms
  • Silicon and Solar Cell Technologies
  • Network Security and Intrusion Detection
  • Urban Heat Island Mitigation
  • Advanced Computational Techniques and Applications
  • Technology and Security Systems
  • Building Energy and Comfort Optimization
  • Time Series Analysis and Forecasting
  • Autonomous Vehicle Technology and Safety
  • Internet Traffic Analysis and Secure E-voting
  • Adversarial Robustness in Machine Learning
  • Infrared Target Detection Methodologies
  • Advanced Data Storage Technologies
  • Energy Load and Power Forecasting
  • Islanding Detection in Power Systems
  • Geological Modeling and Analysis
  • Water Quality Monitoring Technologies
  • Water Resources and Sustainability
  • Smart Grid Security and Resilience

Purple Mountain Laboratories
2021-2024

PLA Information Engineering University
2007-2024

Shanghai Jiao Tong University
2024

Hohai University
2009-2023

Wuxi Vocational Institute of Commerce
2023

Zhengzhou University of Aeronautics
2009-2021

China Electric Power Research Institute
2020

North China Electric Power University
2020

National Renewable Energy Laboratory
2013

Based on the working principles of solar cells, photovoltaic module mismatch model was constructed to simulate heat dissipated by one single cell with different shading percentage ranging from 10% 100%. ANSYS simulation utilized in this paper explore relationship hot spot temperature and type defects (for example point defect planar defect) output power. The results showed that is inversely correlated defective area, positively Solar cells modules power were picked conduct experiments, which...

10.1016/j.egypro.2017.09.399 article EN Energy Procedia 2017-09-01

As artificial intelligence techniques evolve, we are approaching a critical moment for the widespread deployment of autonomous vehicles. Subsequently, emergence mixed-autonomy traffic environments presents formidable challenges to vehicles, especially accurate prediction lane change intentions their surrounding human-driven which is crucial ensuring safety Existing models mainly focus on capturing temporal variations in movement dynamics individual However, neglect consider inter-vehicle...

10.1609/aaai.v39i27.35042 article EN Proceedings of the AAAI Conference on Artificial Intelligence 2025-04-11

Thermal histories of inverter components were collected from operating inverters several manufacturers and three locations. The data analyzed to determine thermal profiles, the dependence on local conditions, as well assess effect reliability. Inverter temperatures shown increase with power dissipation inverters, follow diurnal annual cycles, have a wind speed. An accumulated damage model was applied temperature an example using these predict reliability explored.

10.1109/jphotov.2013.2244162 article EN IEEE Journal of Photovoltaics 2013-03-08

In this paper, bifacial photovoltaic (PV) panels (BP) with inclined and horizontal east-west sun trackers (IEW/HEW) are designed to track the sun. According annual radiation, average irradiance distribution in a typical radiation day is established estimate performance. Taking three regions China as examples, increments of BP IEW HEW compared optimum fixed monofacial PV systems analyzed under different array spacing albedo conditions. addition, method for estimating angular loss diffuse also...

10.1109/jphotov.2019.2899472 article EN IEEE Journal of Photovoltaics 2019-03-07

Compared with monofacial photovoltaic (PV) modules, the output power of bifacial modules is higher since they can utilize additional sunlight backside. Therefore, backside irradiance distributions have a great influence on performance modules. In this article, PV were studied according to view factor models. Based nonuniformity module and single diode model solar cell equivalent circuit, micromismatch losses calculated by IV curve superposition method. addition, simulations experiments...

10.1109/jphotov.2019.2945185 article EN IEEE Journal of Photovoltaics 2019-10-18

The photovoltaic (PV) system with an East-West sun tracker can obtain 10-35% additional radiant energy, compared optimally tilted fully static arrays. relationship between solar interarray spacing and the plus irradiance at different times obtained by tracking were studied discussed. In three locations diffuse radiation ratios, efficiency of sun-tracking PV interspacing was computed analyzed. Considering inclined angle modification module surface, power gains four glasses analyzed for their...

10.1109/jphotov.2017.2715718 article EN IEEE Journal of Photovoltaics 2017-07-03

Compared with the cleaned photovoltaic (PV) modules, output power of dusty PV modules decreases. In this paper, factors influencing dust concentration on module glazing surface are studied and discussed. Based optical analysis, a method calculating reduction due to deposition its is proposed. According changes daily PM10 rainfall, can be calculated, which lays foundation for formulation cleaning strategy. addition, experiments designed in Changzhou Yantai, China, verify theoretical...

10.1109/jphotov.2019.2903086 article EN IEEE Journal of Photovoltaics 2019-03-25

The nominal operation cell temperature (NOCT) is one of the most critical parameters for a photovoltaic (PV) module. We find that emerging types glass/glass and insulating glass modules, measurement error between IEC61215 method thermocouple direct measurements on actual can be as high 15°C. To address this problem, new NOCT building-integrated (BIPV) modules proposed. In method, standard reference environment has same total irradiance (800 W/m <sup...

10.1109/jphotov.2015.2501719 article EN IEEE Journal of Photovoltaics 2015-12-02

To better predict the water resources carrying capacity and guide social economic activities, a prediction method of regional is proposed based on an artificial neural network. Zhaozhou County selected as research area prediction, its natural geographical characteristics, economy, situation are explored. According to quantity utilization characteristics evaluation emphasis, index system constructed evaluate importance correlation resource capacity. The pressure degree divided into five...

10.15446/esrj.v25n2.81615 article EN cc-by Earth Sciences Research Journal 2021-07-19
Coming Soon ...