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.

Measurement and key influencing factors of the economic benefits for China’s photovoltaic power generation: A LCOE-based hybrid model

2021 ◽  
Vol 169 ◽  
pp. 935-952
Author(s):  
Yongli Wang ◽  
Mingchen Gao ◽  
Jingyan Wang ◽  
Shuo Wang ◽  
Yang Liu ◽  
...  
Keyword(s):  
Power Generation ◽  
Influencing Factors ◽  
Hybrid Model ◽  
Economic Benefits ◽  
Photovoltaic Power

scholarly journals Method to Harness Maximum Power from Photovoltaic Power Generation Basing on Completely Mathematical Model

2018 ◽  
Vol 5 (8) ◽  
pp. 486-493
Author(s):  
Le Tien Phong ◽  
◽  
Nguyen Minh Cuong ◽  
Thai Quang Vinh ◽  
Ngo Duc Minh ◽  
...  
Keyword(s):  
Mathematical Model ◽  
Power Generation ◽  
Maximum Power ◽  
Photovoltaic Power

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.

Simulation of the Output Characteristics of Solar Panels Based on Simulink

2014 ◽  
Vol 687-691 ◽  
pp. 3536-3539
Author(s):  
Hong Zhuan Cai ◽  
Xiao Hui Li ◽  
Jing Chao Liu
Keyword(s):  
Mathematical Model ◽  
Power Generation ◽  
Solar Panels ◽  
Generation System ◽  
Actual Performance ◽  
Photovoltaic Power ◽  
Solar Battery ◽  
Power Generation System ◽  
Simulation Results ◽  
Output Characteristics

This paper introduces the simulation model based on equivalent circuit and mathematical model of solar panels use matlab/simulink. The model can simulate the output characteristics of the solar battery board in different temperature and different light intensity. Simulation results close to the solar panels’ actual performance. This model offer convenience to build practical photovoltaic power generation system.

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

scholarly journals Evaluation of Photovoltaic Energy Saving Potential and Investment Value of Urban Buildings in China Based on GIS Technology

Buildings ◽  
2021 ◽  
Vol 11 (12) ◽  
pp. 649
Author(s):  
Wenjie Zhang ◽  
Fengcheng Huang ◽  
Kai Mao ◽  
Changqing Lin ◽  
Zhen Pan
Keyword(s):  
Power Generation ◽  
Electricity Consumption ◽  
Economic Benefits ◽  
Energy Utilization ◽  
Photovoltaic System ◽  
Gis Technology ◽  
Pv System ◽  
Urban Buildings ◽  
Photovoltaic Power ◽  
Short Period

The environmental and energy crisis has become a problem that can not be ignored in today’s world and improving the proportion of renewable energy utilization is an important way to alleviate the problem. China has begun to vigorously develop rooftop photovoltaic systems, and it is urgent to analyze the photovoltaic potential of the country. In this paper, GIS technology is used to calculate the available area of a PV system on the roof of urban buildings in China. The installed capacity and annual power generation of a PV system on the roof of urban buildings in China are further calculated, and the investment cost analysis of the buildings with a PV system is carried out. The results show that Chinese mainland city rooftop photovoltaic area has reached 3.35 billion m2. If urban roofs are used for photovoltaic power generation in China, the annual photovoltaic power generation capacity will be 672 billion kWh, which is about 61% of the total annual electricity consumption of the whole society in 2020. On the other hand, the initial investment in the construction of an urban photovoltaic system is large, but most of them can realize the return of investment in a short period of 8–10 years. Moreover, in the effective life of the follow-up photovoltaic system, it will bring greater economic benefits, which is more than two times the initial investment. To further promote the process of social carbon peak and carbon neutrality in China, the construction of an urban photovoltaic system is very feasible.

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