A method for capacity designing of a photovoltaic power generation with a battery using annual total amount of solar radiation analysis model

2016 ◽  
Author(s):  
Tomonori Nakayama ◽  
Katsuya Mineno ◽  
Nguyen Thi Hoai Thu ◽  
Masayoshi Ishida
Keyword(s):  
Power Generation ◽  
Solar Radiation ◽  
Analysis Model ◽  
Photovoltaic Power ◽  
Annual Total

Solar Radiation Distribution Method for a Photovoltaic Greenhouse based on the Maximization of Annual Economic Benefits

2021 ◽  
Author(s):  
Yi Wang ◽  
Tiejun Zhou ◽  
Weiji Zhou
Keyword(s):  
Mathematical Model ◽  
Power Generation ◽  
Solar Radiation ◽  
Agricultural Production ◽  
Crop Production ◽  
Economic Benefits ◽  
Distribution Method ◽  
Greenhouse Crops ◽  
Photovoltaic Power ◽  
Radiation Distribution

Abstract A solar radiation distribution method is proposed based on the maximization of economic benefits for photovoltaic power generation and agricultural production in a photovoltaic greenhouse to solve the problem of low overall economic benefits because of an unreasonable solar radiation distribution between photovoltaic power generation and agricultural production in the photovoltaic greenhouse. First, a mathematical model of the solar radiation yield of photovoltaic greenhouse crops is proposed based on a rectangular hyperbolic modified light response model of crops to represent the relationship between solar radiation energy and crop production. Second, a mathematical model of the average annual revenue of a photovoltaic greenhouse is established to determine the maximum annual economic benefit of the photovoltaic greenhouse, and the model is constrained by the requirements of the light intensity of photovoltaic power generation and environmental conditions for the growth of greenhouse crops. Finally, the correctness of the model is verified by actual operation data of a photovoltaic greenhouse in Xinjiang, and the optimal solar radiation distribution proportion is calculated. This study provides theoretical support for the design of photovoltaic greenhouses.

scholarly journals Photovoltaic Power Prediction Considering the Influence of Smog on Solar Radiation

2021 ◽  
Vol 299 ◽  
pp. 02007
Author(s):  
Tianlong Gao
Keyword(s):  
Neural Network ◽  
Power Generation ◽  
Solar Radiation ◽  
Atmospheric Aerosols ◽  
Rbf Neural Network ◽  
Power Prediction ◽  
Photovoltaic Panel ◽  
Factors Affecting ◽  
Photovoltaic Power ◽  
The Impact

As smog significantly weakens the intensity of solar radiation, the impact of smog on photovoltaic power generation cannot be ignored. This article aims to improve the prediction accuracy of photovoltaic power generation under smog weather. The impact of main atmospheric meteorological factors on atmospheric aerosols under smog weather is studied, and radial basis function neural network is adopted to predict the optical thickness of atmospheric aerosols; then, the inclined plane radiation model is established to predict the radiation intensity received by the photovoltaic panel; finally, considering fully the factors affecting the photovoltaic power generation under the smog weather, the RBF neural network is used to predict the photovoltaic power. Experimental verification proved that the presented photovoltaic power prediction model has high accuracy.

scholarly journals Estimation of satellite-derived regional photovoltaic power generation using a satellite-estimated solar radiation data

2018 ◽  
Vol 6 (5) ◽  
pp. 570-583 ◽  
Author(s):  
Hideaki Ohtake ◽  
Fumichika Uno ◽  
Takashi Oozeki ◽  
Yoshinori Yamada ◽  
Hideaki Takenaka ◽  
...  
Keyword(s):  
Power Generation ◽  
Solar Radiation ◽  
Radiation Data ◽  
Photovoltaic Power
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