Experimental and simulation analysis of grid-connected rooftop photovoltaic system for a large-scale facility

Khan, Mohammad Arsalan; Islam, Nazrul; Khan, Meer Abdul Mateen; Irshad, Kashif; Hanzala, Mohammad; Pasha, Amjad Ali; Mursaleen, M.

doi:10.1016/j.seta.2022.102773

Cited by 9 publications

(3 citation statements)

References 26 publications

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“…These tools include sizing PV systems, calculating energy yield, and estimating the financial return on investment. In the literature, studies from Turkey [27][28][29][30][31][32] and around the world [33][34][35][36][37] analyzed PV systems using PVsyst. For example, Aksoy et al [38] performed performance analysis of three different cells, monocrystalline, polycrystalline, and amorphous silicon, with a fixed installed power of 300 kWp using PVsyst in Konya, Turkey.…”

Section: Methodsmentioning

confidence: 99%

Analysis of the azimuth angles of a medium-scale PV system in non-ideal positions for roof application

Aksoy

İSPİR

Bakırhan³

2023

MANAS Journal of Engineering

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As energy costs have continued to rise in the last decade, installing photovoltaic (PV) panels on building roofs are becoming increasingly common. In the past, installations were mostly made in the direction of the south, but now the roofs of the buildings facing west, east, and even north are also considered for PV panel installations. In this study, a grid-connected PV system with an installed power of 148 kWp at the Konya Technical University (KTUN) campus is modeled by PVsyst software. The PV systems' performance on building roofs oriented in different geographical directions (north, south, east, and west) with a 30° fixed tilt angle was investigated. In the modeling, the solar irradiation coming to the surfaces of the PV panels, electricity production values, performance ratios, and their economic feasibility were calculated. The highest effective irradiation value on the panel surface was obtained from the system facing south, found as 1964.4 kWh/m². It is 20.77%, 22.87%, and 73.48% higher than the solar irradiation obtained at -90°, +90°, and 180° azimuth angles, respectively. It is concluded that the electricity generation amounts of PV systems highly depend on the azimuth angle. Similarly, the highest annual electricity production was obtained from the system installed in the 0° azimuth angle found as 254.77 MWh. The annual total electricity generation is 19.66%, 22.55%, and 69.41% higher in systems modeled toward the east, west, and north, respectively. Performance ratio, defined as the ratio of radiation coming to the panel surface and the electricity produced, has relative values between 0.843 and 0.862 for four different azimuth angles. Furthermore, as an economic analysis, the Basic Payback Period (BPP) of the projects was found as 6.92 years, 4.08 years, 4.88 years, and 5.00 years for the systems modeled in the north, south, east, and west directions, respectively. It can be concluded that the most suitable orientation is south, and the other two directions, east, and west, can also be considered feasible.

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Section: Methodsmentioning

confidence: 99%

Analysis of the azimuth angles of a medium-scale PV system in non-ideal positions for roof application

Aksoy

İSPİR

Bakırhan³

2023

MANAS Journal of Engineering

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“…Energies 2023, 16 Short-term variations in RES energy production due to sudden weather changes can pose significant risks to the stability of the energy system [7]. Consequently, as the proportion of renewable energy in the overall energy mix grows, accurate short-term production forecasting and real-time optimization become increasingly vital [8,9].…”

Section: Challenges That Come With Changes To New Power Systemsmentioning

confidence: 99%

Application of Artificial Intelligence Algorithms in Multilayer Perceptron and Elman Networks to Predict Photovoltaic Power Plant Generation

Drałus,

Mazur,

Kusznier

et al. 2023

Energies

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This paper presents the models developed for the short-term forecasting of energy production by photovoltaic panels. An analysis of a set of weather factors influencing daily energy production is presented. Determining the correlation between the produced direct current (DC) energy and the individual weather parameters allowed the selection of the potentially best explanatory factors, which served as input data for the neural networks. The forecasting models were based on MLP and Elman-type networks. An appropriate selection of structures and learning parameters was carried out, as well as the process of learning the models. The models were built based on different time periods: year-round, semi-annual, and seasonal. The models were developed separately for monocrystalline and amorphous photovoltaic modules. The study compared the models with the predicted and measured insolation energy. In addition, complex forecasting models were developed for the photovoltaic system, which could forecast DC and AC energy simultaneously. The complex models were developed according to the rules of global and local modeling. The forecast errors of the developed models were included. The smallest values of the DC energy forecast errors were achieved for the models designed for summer forecasts. The percentage forecast error was 1.95% using directly measured solar irradiance and 5. 57% using predicted solar irradiance. The complex model for summer forecasted the AC energy with an error of 1.86%.

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“…Vietnam is the leading country in the solar power development in Southeast Asia, with the installed capacity reaching approximately 19 GW in 2022 [1]. Practical implementation shows that government policy mechanisms and preferential price policies play a pivotal role in promoting renewable energy sources, in addition to the available natural potential or the climate conditions [2][3]. Furthermore, technical issues must be thoroughly resolved so as not to cause negative impacts on the existing power system [4][5][6][7][8].…”

Section: Introductionmentioning

confidence: 99%

Evaluation of the Impact of Rooftop Solar Power on the Power Quality of Vietnam Urban Distribution Networks according to Relevant Vietnamese and IEEE and IEC Standards

Vu,

Huu

2024

Eng. Technol. Appl. Sci. Res.

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The goal of reducing greenhouse gas emissions and energy transition has created many favorable conditions to promote solar power generation technology. However, from a technical perspective, integrating solar power into the power grid poses many challenges in grid operation. This study investigates the impact of rooftop solar power in terms of power quality in the urban distribution grid in Vietnam. The current study simulated a typical low-voltage distribution grid with single-phase and three-phase loads to evaluate important power quality issues, such as Total Harmonic Distortion (THD) of voltage and current, voltage unbalance, and voltage rises. A grid simulation grid was developed in Matlab/Simulink under different conditions for the penetration level of solar power and the daily variation of loads. These indexes were compared with the limits specified in Vietnamese standards and the relevant international standards of IEEE and IEC. Compliance with the provisions of these standards was provided, even in the case of solar power systems with a high level of penetration into Vietnam's urban distribution grid.

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Experimental and simulation analysis of grid-connected rooftop photovoltaic system for a large-scale facility

Cited by 9 publications

References 26 publications

Analysis of the azimuth angles of a medium-scale PV system in non-ideal positions for roof application

Analysis of the azimuth angles of a medium-scale PV system in non-ideal positions for roof application

Application of Artificial Intelligence Algorithms in Multilayer Perceptron and Elman Networks to Predict Photovoltaic Power Plant Generation

Evaluation of the Impact of Rooftop Solar Power on the Power Quality of Vietnam Urban Distribution Networks according to Relevant Vietnamese and IEEE and IEC Standards

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