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- 摘要
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- 实验方案
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Estimating Solar Insolation and Power Generation of Photovoltaic Systems Using Previous Day Weather Data
摘要： Day-ahead predictions of solar insolation are useful for forecasting the energy production of photovoltaic (PV) systems attached to buildings, and accurate forecasts are essential for operational efficiency and trading markets. In this study, a multilayer feed-forward neural network-based model that predicts the next day’s solar insolation by taking into consideration the weather conditions of the present day was proposed. The proposed insolation model was employed to estimate the energy production of a real PV system located in South Korea. Validation research was performed by comparing the model’s estimated energy production with the measured energy production data collected during the PV system operation. The accuracy indices for the optimal model, which included the root mean squared error, mean bias error, and mean absolute error, were 1.43 kWh/m2/day, ? 0.09 kWh/m2/day, and 1.15 kWh/m2/day, respectively. These values indicate that the proposed model is capable of producing reasonable insolation predictions; however, additional work is needed to achieve accurate estimates for energy trading.
关键词： neural network,energy production,photovoltaic systems,solar insolation,forecasting
更新于2025-09-23 15:21:01
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Solar Engineering of Thermal Processes, Photovoltaics and Wind || Wind Energy
摘要： Wind energy is an indirect form of solar energy; the solar heating of the atmosphere along with the earth’s rotation creates planetary and local wind patterns. In this chapter the wind resource is described and a method for reducing wind data to a useful mathematical form is presented. A simplified theory of wind turbines is then presented. This simplified theory leads to a basic understanding of the characteristics of actual wind turbines. Combining the analytical description of the wind resource with the characteristic of an actual wind turbine leads to a prediction of electrical energy production. Much about wind energy is not discussed in this chapter, such as the complex meteorology that produces favorable wind sites, the aerodynamics of turbine blades, the needed controls for producing acceptable electrical waveforms, the mechanical aspects of gears trains and tower structures, the visual and avian siting issues, and noise problems.
关键词： solar energy,electrical energy production,wind turbines,wind energy
更新于2025-09-19 17:13:59
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[IEEE 2019 International Multi-Conference on Industrial Engineering and Modern Technologies (FarEastCon) - Vladivostok, Russia (2019.10.1-2019.10.4)] 2019 International Multi-Conference on Industrial Engineering and Modern Technologies (FarEastCon) - Study of Solar Cells at Low Temperatures in the Arctic
摘要： Currently, the Arctic is of interest to many countries of the world. The challenge for exploring the Arctic is harsh weather. Researchers have big problems due to global climate change. In the Arctic, it is very difficult for researchers to produce electricity. Most often, they use gas generators that pollute the environment. We propose using solar modules to generate electricity in the Arctic from March to November. Most studies focus on the operation of solar cells at high temperatures and overheating. In the Arctic, most often the temperature is quite low. Even in summer, the temperature does not exceed low 12°C. The topic of the operation of solar cells at temperatures has not been studied well enough. This study focuses on the operation of solar cells at low temperatures. We investigated single-crystal, polycrystalline and amorphous solar cells and found that with decreasing temperature the efficiency of solar cells increases. Polycrystalline and amorphous solar cells have shown the best results.
关键词： solar cell energy production,conversion efficiency,Arctic.,solar cell,low temperatures,power generation,alternative energy sources
更新于2025-09-16 10:30:52
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[IEEE 2019 6th International Conference on Control, Decision and Information Technologies (CoDIT) - Paris, France (2019.4.23-2019.4.26)] 2019 6th International Conference on Control, Decision and Information Technologies (CoDIT) - Tilt Angle Optimization of Photovoltaic Panels
摘要： The solar PV power sector in Spain has been developing at a spectacular rate in recent years. The energy cost and the dependence on fossil fuels can be reduced by improving the efficiency of photovoltaic energy production The performance of a solar radiation conversion system is affected by tilt angle with the horizontal plane. Thus, a photovoltaic array needs to be tilted at the correct angle to maximize its performance. In this paper, we investigate how to determine the optimum tilt angle. This procedure is illustrated for the city of Barcelona (Spain) located at latitude 41o 22' 56'' North and longitude 2o 6'56'' East. The optimal tilt angle varies according the seasons: In Winter (December, January, February) is 56.4, in Spring (March, April, May) is 29.11? in Summer (Jun, July, August) is 13.76? and in Autumn (September, October, November) is 48.14?. Finally, the annual optimum tilt angle for our latitude is 36.87?, with this optimal slope angel, maximum monthly and annual solar radiation is calculated. So, by means of the proposed approach, the energy generation is increased in 10.54% thanks to we are able to benefit from the maximum solar radiation.
关键词： solar PV power,optimum tilt angle,Barcelona,solar radiation,photovoltaic energy production
更新于2025-09-16 10:30:52
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[IEEE 2019 20th International Symposium on Power Electronics (Ee) - Novi Sad, Serbia (2019.10.23-2019.10.26)] 2019 20th International Symposium on Power Electronics (Ee) - Simulation-Based Energy Assessment of PV Systems Installed in an Urban Environment
摘要： In this paper, a stochastic simulation procedure for energy assessment of PV systems is developed and tested. The method is especially adequate for urban applications since the impact of surrounding obstacles both for direct and diffuse irradiance is taken into account. The main input is the system location along with its monthly average irradiance and temperature statistics. Based on the input data, the program generates a set of random years represented by hourly sequences of global horizontal irradiance and ambient temperature. The generated sequences are then converted into the module plane-of-array irradiance and module temperature time series and, consequently, the AC energy production is estimated for each simulated year. The final results are presented in a form of probability density function of the system annual energy output.
关键词： Photovoltaic (PV),probabilistic analysis,obstacles,energy production estimation,urban environment
更新于2025-09-12 10:27:22