The effect of wind direction on the performance of solar PV plants

Vasel, Ahmad; Iakovidis, Frantzis

doi:10.1016/j.enconman.2017.09.077

Cited by 86 publications

(32 citation statements)

References 41 publications

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“…The system moves due to the solar heat creating gas pressure, or the evaporation of liquid [6] due to the heat of the Sun.Many studies have been conducted to analyze the performance of solar cells and study the effects of various factors such as temperature and radiation on the power extracted from the PV system. It has been observed that the changes in irradiance and temperature significantly affect the overall performance of PV systems [7][8][9][10].Several methods have been developed for adjusting the single-diode model parameters under different levels of temperature and solar irradiation [11]. The impacts of changes in solar irradiation on seven parameters of the two-diode model have been studied, based on the levels of solar irradiation at the standard maximum power point (MPP) test conditions.…”

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confidence: 99%

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ANN for Assessment of Energy Consumption of 4 kW PV Modules over a Year Considering the Impacts of Temperature and Irradiance

2019

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Solar energy is considered the greatest source of renewable energy. In this paper, a case study was performed for a single-axis solar tracking model to analyze the performance of the solar panels in an office building under varying ambient temperatures and solar radiation over the course of one year (2018). This case study was performed in an office building at the College of Engineering at Shaqra University, Dawadmi, Saudi Arabia. The office building was supplied with electricity for a full year by the designed solar energy system. The study was conducted across the four seasons of the studied year to analyze the performance of a group of solar panels with the total capacity of a 4 kW DC system. The solar radiation, temperature, output DC power, and consumed AC power of the system were measured using wireless sensor networks (for temperature and irradiance measurement) and a signal acquisition system for each hour throughout the whole day. A single-axis solar tracker was designed for each panel (16 solar panels were used) using two light-dependent resistors (LDR) as detecting light sensors, one servo motor, an Arduino Uno, and a 250 W solar panel installed with an array tilt angle of 21 • . Finally, an artificial neural network (ANN) was utilized to estimate energy consumption, according to the dataset of AC load power consumption for each month and the measurement values of the temperature and irradiance. The relative error between the measured and estimated energy was calculated in order to assess the accuracy of the proposed ANN model and update the weights of the training network. The maximum absolute relative error of the proposed system did not exceed 2 × 10 −4 . After assessment of the proposed model, the ANN results showed that the average energy in the region of the case study from a 4 kW DC solar system for one year, considering environmental impact, was around 8431 kWh/year. Sustainability 2019, 11, 6802 2 of 24 to develop previously discovered energy sources to eliminate the damage caused by non-renewable sources and to also compensate for the depletion of non-renewable resources in the future [1,2]. Solar energy has always been a promising source of renewable energy. It continues to attract research into its optimal development and utilization as a result of the good response and remarkable developments in solar energy systems to date. There has been a consistent, significant increase in the number of researchers investigating photovoltaic (PV) solar cells. In recent years, significant and remarkable developments have been observed in solar energy systems, which have led to a significant increase in the renewable energy market, with more solar energy systems being installed [3]. According to the REN21 (2018) Global Status Report, 2017 was a very important year in the field of solar energy, representing the increase of solar energy system installation above any other renewable energy technology. According to this report, at least 98 GW of grid-connected and off-grid solar energy systems were installe...

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confidence: 99%

“…Many studies have been conducted to analyze the performance of solar cells and study the effects of various factors such as temperature and radiation on the power extracted from the PV system. It has been observed that the changes in irradiance and temperature significantly affect the overall performance of PV systems [7][8][9][10].…”

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confidence: 99%

ANN for Assessment of Energy Consumption of 4 kW PV Modules over a Year Considering the Impacts of Temperature and Irradiance

2019

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“…Iakovidis and Ting [1] conducted wind tunnel experiments to quantify the influence of turbulence intensity on local and average heat transfer coefficients. Subsequently, a field experiment by Vasel and Iakovidis [13] concluded that wind direction has a significant effect on the production output of a PV solar plant. The layout of rows of PV arrays can significantly affect the turbulent intensity as air flows through the PV plant.…”

Section: Introductionmentioning

confidence: 99%

Thermal Effects on Photovoltaic Array Performance: Experimentation, Modeling, and Simulation

et al. 2021

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The performance of photovoltaic (PV) arrays are affected by the operating temperature, which is influenced by thermal losses to the ambient environment. The factors affecting thermal losses include wind speed, wind direction, and ambient temperature. The purpose of this work is to analyze how the aforementioned factors affect array efficiency, temperature, and heat transfer coefficient/thermal loss factor. Data on ambient and array temperatures, wind speed and direction, solar irradiance, and electrical output were collected from a PV array mounted on a CanmetENERGY facility in Varennes, Canada, and analyzed. The results were compared with computational fluid dynamics (CFD) simulations and existing results from PVsyst. The findings can be summarized into three points. First, ambient temperature and wind speed are important factors in determining PV performance, while wind direction seems to play a minor role. Second, CFD simulations found that temperature variation on the PV array surface is greater at lower wind speeds, and decreases at higher wind speeds. Lastly, an empirical correlation of heat transfer coefficient/thermal loss factor has been developed.

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“…Moreover, Maatallah et al explore the assessment viability for hybrid energy systems (PV/wind/diesel) with storage in the northernmost city in Africa, Bizerte, Tunisia [21]. Vasel et al conducted a study on the effect of wind direction on the performance of solar PV plants [22]. Yu et al perform a study on the sizing of hybrid energy systems [23] Moreover, M.R.B Khan et al conducted feasibility studies for hybrid PV and micro-hydro systems for a resort island in Malaysia based on seasonal load demand [24][25][26].…”

Section: Introductionmentioning

confidence: 99%

Feasibility Study of Grid-Connected PV System for Peak Demand Reduction of a Residential Building in Tehran, Iran

Alayi¹,

Khan²,

Mohmammadi³

2020

MMEP

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The use of fossil fuels for energy demand is overgrowing, leading to a higher CO2 emission. Besides, these resources have fluctuating prices and have higher operating costs. Thus, the integration of renewable energy (RE) sources has been increasing throughout the years to reduce the dependency on fossil fuel generation. However, RE generations have high initial costs and intermittent resources. Therefore, it is crucial to conduct technical and economic analysis before the installation of any hybrid energy systems. This study proposes the installation of a PV system for a residential building in Tehran, Iran. The goal of the system is to have a PV system for peak demand reduction. Moreover, the input data also includes economic parameters such as costs of PV, battery, and grid purchases alongside interest rates. Sensitivity analysis also conducted in this study to investigate the variation of load profiles on the optimal system configuration. The simulation results show a 422-kW grid-connected PV system with battery storage is the most optimal system for the selected location. The system has a lower Net Present Cost (NPC) and initial capital compared to other configurations. Moreover, the system also has a higher RE generation and lower energy import from the grid.

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The effect of wind direction on the performance of solar PV plants

Cited by 86 publications

References 41 publications

ANN for Assessment of Energy Consumption of 4 kW PV Modules over a Year Considering the Impacts of Temperature and Irradiance

ANN for Assessment of Energy Consumption of 4 kW PV Modules over a Year Considering the Impacts of Temperature and Irradiance

Thermal Effects on Photovoltaic Array Performance: Experimentation, Modeling, and Simulation

Feasibility Study of Grid-Connected PV System for Peak Demand Reduction of a Residential Building in Tehran, Iran

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