NDLI: Evaluation index system for photovoltaic systems statistical characteristics under hazy weather conditions in central China

Content Provider	IET Digital Library
Author	Li, Fen Li, Chunyang Shi, Jing Zhao, Jinbin Yang, Xingwu Chen, Zhenghong
Abstract	This study investigates different methods of determining the optimum tilt angle (OTA) for photovoltaic (PV) systems to maximise energy yield, and provides an evaluation index system for the static and dynamic performance of PV systems under hazy weather conditions, in view of the nature of solar energy resource and PV energy yield. Due to the fact that the data of total solar radiation on inclined surface in Wuhan is not available and PV power generation is non-linear process, an experimental off-grid PV system with various tilt angles and orientations is established which is located in Hubei Meteorological Administration in Wuhan. The experimental system is then used to analyse the accuracy of five in-plane solar radiation models and the relationship between the model predicted errors and meteorological environmental factors, explore the calculated and measured OTA of PV modules and evaluate the performance of PV system with different tilt angles and orientations based on static and dynamic indexes in real atmosphere condition. Finally, the influence of dust on PV energy production has been reported. After cleaning, the energy yield of PV models can increase by 10–20%.
Starting Page	1794
Ending Page	1803
Page Count	10
ISSN	17521416
Volume Number	11
e-ISSN	17521424
Issue Number	Issue 14, Dec (2017)
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/iet-rpg/11/14
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/10.1049/iet-rpg.2017.0259
Journal	IET Renewable Power Generation
Publisher Date	2017-09-18
Access Restriction	Open
Rights Holder	© The Institution of Engineering and Technology
Subject Keyword	Central China Evaluation Index System Hazy Weather Condition Hubei Meteorological Administration In-plane Solar Radiation Model Meteorological Environmental Factor Model Predicted Error Nonlinear Process Off-grid PV Power Generation System Optimum Tilt Angle Determination OTA Determination Photovoltaic Power System Photovoltaic System Statistical Characteristic PV Energy PV Energy Production Solar Energy Resource Solar Power Stations Statistical Analysis Statistics Sunlight Wuhan
Content Type	Text
Resource Type	Article
Subject	Renewable Energy, Sustainability and the Environment

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