scholarly journals Characteristic Analysis of Water Quality Variation and Fish Impact Study of Fish-Lighting Complementary Photovoltaic Power Station

Energies ◽  
2020 ◽  
Vol 13 (18) ◽  
pp. 4822
Author(s):  
Peidu Li ◽  
Xiaoqing Gao ◽  
Junxia Jiang ◽  
Liwei Yang ◽  
Yujie Li
Keyword(s):  
Light Intensity ◽  
Dissolved Oxygen ◽  
Water Body ◽  
Water Layer ◽  
Solar Photovoltaic ◽  
Characteristic Analysis ◽  
Power Station ◽  
Algae Biomass ◽  
Photovoltaic Panels ◽  
Photovoltaic Power

Fish-lighting complementary photovoltaic power station organically combines aquaculture and renewable energy. In this study we aimed to develop a solar photovoltaic that is not confined to land. We used a shade net to simulate photovoltaic panels, and studied the effects of different proportions of photovoltaic panels on water and fish. The results showed that the average light intensity of the unshaded area and the shaded area were 16,661.7 Lux and 2437.0 Lux. The average light intensity of the shaded area was 85.4% lower than that of the unshaded area. The effective range of the shaded area for the light intensity of the water layer was 0 cm~30 cm. The temperature and pH in the water body showed a linear decreasing trend with the increase of the photovoltaic deployment ratio, and the dissolved oxygen showed an inverted “U”-shaped change characteristic, but this effect was limited. When the photovoltaic deployment ratio was 25% to 75%, the dissolved oxygen in the water body increases by an average of 2.37% compared to the unshaded area. The appropriate proportion of photovoltaic deployment did not affect the dissolved oxygen content in the water body. When the photovoltaic deployment ratio reached 75%, the number of algae species and algae biomass was the largest, and the fish production was the highest at 8094.6 kg·acre−1, which is an increase of 166.2 kg·acre−1 compared to the average yield in unshaded areas. Therefore, photovoltaic layout will not affect the growth of fish, and the proportion of 75% is the best layout choice.

scholarly journals Influence of light and its temperature on solar photovoltaic panels

2019 ◽  
Vol 118 ◽  
pp. 01047
Author(s):  
Xin Hou ◽  
Daoyuan Wen ◽  
Fangqin Li ◽  
Chuang Ma ◽  
Xiaotong Zhang ◽  
...  
Keyword(s):  
Power Generation ◽  
Light Intensity ◽  
Rapid Development ◽  
Environmental Problems ◽  
Solar Photovoltaic ◽  
Electricity Prices ◽  
Photovoltaic Panel ◽  
Photovoltaic Panels ◽  
Photovoltaic Power ◽  
The World

Due to the increasingly limited conventional energy and increasing environmental problems, the photovoltaic industry is receiving more and more attention from all over the world. China’s solar photovoltaic industry has driven rapid development in electricity prices. Photovoltaic power generation is affected by light intensity and photovoltaic panel temperature. In this paper, the effects of light intensity and photovoltaic panel temperature on photovoltaic panel power generation are discussed.

scholarly journals Combined Multi-Layer Feature Fusion and Edge Detection Method for Distributed Photovoltaic Power Station Identification

Energies ◽  
2020 ◽  
Vol 13 (24) ◽  
pp. 6742
Author(s):  
Yongshi Jie ◽  
Xianhua Ji ◽  
Anzhi Yue ◽  
Jingbo Chen ◽  
Yupeng Deng ◽  
...  
Keyword(s):  
Remote Sensing ◽  
High Resolution ◽  
Edge Detection ◽  
Semantic Segmentation ◽  
Remote Sensing Images ◽  
Power Station ◽  
Data Set ◽  
Photovoltaic Panels ◽  
Power Stations ◽  
Photovoltaic Power

Distributed photovoltaic power stations are an effective way to develop and utilize solar energy resources. Using high-resolution remote sensing images to obtain the locations, distribution, and areas of distributed photovoltaic power stations over a large region is important to energy companies, government departments, and investors. In this paper, a deep convolutional neural network was used to extract distributed photovoltaic power stations from high-resolution remote sensing images automatically, accurately, and efficiently. Based on a semantic segmentation model with an encoder-decoder structure, a gated fusion module was introduced to address the problem that small photovoltaic panels are difficult to identify. Further, to solve the problems of blurred edges in the segmentation results and that adjacent photovoltaic panels can easily be adhered, this work combines an edge detection network and a semantic segmentation network for multi-task learning to extract the boundaries of photovoltaic panels in a refined manner. Comparative experiments conducted on the Duke California Solar Array data set and a self-constructed Shanghai Distributed Photovoltaic Power Station data set show that, compared with SegNet, LinkNet, UNet, and FPN, the proposed method obtained the highest identification accuracy on both data sets, and its F1-scores reached 84.79% and 94.03%, respectively. These results indicate that effectively combining multi-layer features with a gated fusion module and introducing an edge detection network to refine the segmentation improves the accuracy of distributed photovoltaic power station identification.

scholarly journals DEVELOPMENT AND STUDY OF HYBRID STAND-ALONE ELECTRIC POWER SOURCE BASED ON SOLAR PHOTOVOLTAIC POWER STATION AND DIESEL GENERATOR

2018 ◽  
Vol 22 (12) ◽  
pp. 169-184 ◽  
Author(s):  
Gennadiy Konstantinov ◽  
◽  
Viktoria Krivorotova ◽  
Nikolay Slyunkin ◽  
Denis Fedosov ◽  
...  
Keyword(s):  
Electric Power ◽  
Power Source ◽  
Solar Photovoltaic ◽  
Diesel Generator ◽  
Power Station ◽  
Photovoltaic Power

A Hybrid Model of Photovoltaic Power Stations for Model Ling Tasks of Large Power Systems

2021 ◽  
Vol 69 (4) ◽  
pp. 43-49
Author(s):  
Nikolay RUBAN ◽  
◽  
Vladimir RUDNIK ◽  
Igor RAZZHIVIN ◽  
Anton KIEVEC ◽  
...  
Keyword(s):  
Power Systems ◽  
Power System ◽  
Power Station ◽  
Partial Shading ◽  
Large Power ◽  
Photovoltaic Panels ◽  
Power Stations ◽  
Photovoltaic Power ◽  
Software And Hardware ◽  
The Impact

Renewable energy sources are being actively penetrated in the global energy sector, with the main growth being achieved by new photovoltaic power stations. At the same time, the influence of photovoltaic power stations on the operation of power systems is known. This is primarily due to the inconstancy of the weather, which leads to a decrease in the output of each specific photovoltaic panel and power station as a whole. To study the effect of partial shading of photovoltaic panels on the parameters of its operation, various models of the current-voltage characteristics of photovoltaic cells are used in the world, while detailed two-diode models show the best results. The use of detailed models allows to get complete information about the processes in a variety of photovoltaic panels of a power station, as well as other elements of it, such as a voltage converter. This makes it possible to assess the impact of these processes on the external power system. However, for detailed modelling of large photovoltaic power stations as part of power systems, it is necessary to use powerful software and hardware systems. Such systems include the Hybrid real-time power system simulator. This simulator is a multiprocessor installation that provides a solution to the aggregate model of the power system through the use of three approaches to modelling: digital, analogue and physical. The article presents the results of experimental studies of software and hardware tools for modelling a photovoltaic power station, developed on the basis of a hybrid approach to modelling electric power systems.

Influence of Solar Panels in Distributed Photovoltaic Power Generating System above Farm Land on Field and Crops

2015 ◽  
Vol 737 ◽  
pp. 20-23
Author(s):  
Zhi Wu Ge ◽  
Ri Xin Xiao ◽  
Rui Ping Wang
Keyword(s):  
Measurement Instrument ◽  
Hainan Island ◽  
Solar Photovoltaic ◽  
Solar Panels ◽  
Farm Land ◽  
Wind Resistance ◽  
Photovoltaic Panels ◽  
Photovoltaic Power ◽  
Hot Climate ◽  
Generating System

In order to break through the bottleneck of solar photovoltaic power generation, and off-season vegetables problems in Hainan island, we arrange photovoltaic panels above farm land to generate electricity. By novel and ingenious arrangement on panels, we can make farmland temperature distribution more uniform, decrease temperature differences between shading and lighting area significantly, also reduce wind resistance significantly. The influence of solar panel shading on Chinese cabbage was detected by photosynthetic measurement instrument LI-6400. The system was suitable for general farmers to implement in hot climate areas. By using this system, famers can produce cops and electricity at the same time, sell extra electricity, and get double income.

Artificial mixing to reduce growth of the blue-green alga Microcystis in Lake Nieuwe Meer, Amsterdam: an evaluation of 7 years of experience

2001 ◽  
Vol 1 (1) ◽  
pp. 17-23 ◽  
Author(s):  
E. Jungo ◽  
Petra M. Visser ◽  
Jasper Stroom ◽  
Luuc R. Mur
Keyword(s):  
Water Body ◽  
Bubble Plume ◽  
Annual Fluctuation ◽  
Algae Biomass ◽  
Mechanical Parts ◽  
Living Space ◽  
Artificial Mixing ◽  
Flexible Pipes ◽  
Nitrogen Concentrations ◽  
Extensive Growth

The problem of Lake Nieuwe Meer (area = 1.3 km2, max. depth 30 m, Ptot = 500 mg/m3) was extensive growth of Microcystis with disturbing scum forming. Since 1993 the lake has been artificially mixed in summer by a bubble plume installation. The result is quite successful since the mass of Microcystis is up to 20 times lower than in the years before mixing and no scum is present any more. The study in Lake Nieuwe Meer showed a shift from cyanobacterial dominance (mainly Microcystis) to flagellates, green-algae and diatoms when artificial mixing was applied. Total phosphorus and nitrogen concentrations did not change as a result of mixing and had apparently no effect on the shift in the phytoplankton composition. The chlorophyll-a concentration was much lower in the mixed lake as a result of dilution. The total algae biomass decreased. The transparency did not improve. The total heat energy of the lake is slightly higher than before mixing but still remains in the range of annual fluctuation. The temperature on the surface is approximately 2°C lower. In the whole water-body oxygen was always higher than 5 mg/l. Living space for fish is therefore wider. The installation in Lake Nieuwe Meer consists of flexible pipes near the sediment, built in a way to prevent sediment erosion and transport into the water. There are no constructions in the water-body. All mechanical parts are on land. The layout of the installation is shown in Fig. 1. Installed compressor energy is 85 kW. This is equivalent to an upper middle-class motor-car. The design was made specifically for this problem. It is based on the physical data of the algae and the plant. It would be beneficial to use this 7 year's experience for further applications e.g. elimination of toxic algae in drinking-water reservoirs.

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