A global annual optimum tilt angle model for photovoltaic generation to use in the absence of local meteorological data

Nicolás-Martín, Carolina; Santos-Martín, David; Chinchilla, M.; Lemon, S.

doi:10.1016/j.renene.2020.07.098

Cited by 22 publications

(21 citation statements)

References 35 publications

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“…The optimum monthly average daily total solar radiation on the surface of the module with the monthly optimal tilt angle was evaluated using 4 isotropic and 4 anisotropic models. The isotropic equation ( 17) model provides the minimum average total solar radiation at the optimum tilted surface and the maximum total solar radiation is obtained using an anisotropic model of equation (23). Anisotropic models of equations ( 20) and ( 22) provide the same result solar radiation and optimum tilt angle.…”

Section: Resultsmentioning

confidence: 99%

“…Many researchers use isotropic [11][12][13][14][15][16], anisotropic [17][18][19], or both isotropic and anisotropic models [5,[20][21][22] to predict total solar radiation on an inclined surface. Nicolás-Martín [23] proposed models that determine the annual optimal tilt angle without local meteorological data. Parameters such as latitude, albedo, and diffuse fraction were considered for the development of the optimal tilt angle models.…”

Section: Introductionmentioning

confidence: 99%

“…As a result, the optimal tilt angle obtained in one location may not be an optimal value for another. In references [16,[23][24][25][26] to evaluate the diffuse radiation only isotropic or anisotropic models are used. In other works [5,20,25] numerical optimal tilt angle values are suggested for the specific study area.…”

Section: Introductionmentioning

confidence: 99%

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Development of Optimal Tilt Angle Models of a Photovoltaic Module for Maximum Power Production: Ethiopia

Ashetehe

Gessesse

Shewarega

2022

International Journal of Photoenergy

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The power generated from the photovoltaic module is directly related to the magnitude of total incident solar radiation on the surface of the solar module. The total incident solar radiation depends on the location, tilt angle, and orientation of the solar module. In this paper, generic models were developed that determine the seasonal and annual optimal tilt angle of the Photovoltaic module at any location in Ethiopia without using meteorological data. Both isotropic and anisotropic diffuse solar radiation models were used to estimate monthly, seasonal, and annual optimal tilt angles. The monthly average daily global horizontal solar radiation for a total of 44 cities -32 for training and 12 for testing were obtained from the National Aeronautical and Space Administration database, and algorithms were developed and implemented using MATLAB and R programming software to obtain optimum tilt angle and regression models. The study showed that the developed model accurately estimates the optimal tilt angle with the minimum statistical validation errors. It is also found that 5.11% to 6.275% (isotropic) and 5.72% to 6.346% (anisotropic models) solar radiation energy is lost when using the yearly average fixed optimal tilt angle as compared with the monthly optimal tilt angle. The result of this study was also validated by comparing it with the previously published works, PVGIS and PVWatt online software. The graphical abstract is included in the supplementary file.

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Section: Resultsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Development of Optimal Tilt Angle Models of a Photovoltaic Module for Maximum Power Production: Ethiopia

Ashetehe

Gessesse

Shewarega

2022

International Journal of Photoenergy

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“…Nicolas et al 32 have suggested polynomial regression model for determine the optimum tilt angle based on latitude. The suggested approach was used for reduced the energy loss based on latitude function.…”

Section: Recent Research Work: a Brief Reviewmentioning

confidence: 99%

Hybrid TSA‐RBFNN based approach for MPPT of the solar PV panel under the effects of tilt angles variations and environmental effects

2021

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This paper proposes a hybrid approach to improve the performance of photovoltaic (PV) system and track the maximum system power. The proposed hybrid approach is the combination of Tunicate Swarm algorithm (TSA) and Radial Basis Function Neural Network (RBFNN), hence it is called TSA-RBFNN. The main contribution of this paper is to "achieve the best output from solar system by tilt angles variations and environmental effects, like dust accumulation, water drops, partial shading, and maximum power point tracking (MPPT) of the solar PV panel. Here, tilt angle and orientation angles are important factor for obtaining the maximal power of the photovoltaic system with consequently the power fed to load in the PV system. The voltage, current, and PV system power are used to analyze the effect of any particle size and any weight of coal for the performance of PV modules. TSA is used to measure the PV module voltage, current, and power, then it generates a possible dataset in the offline way. The dataset has electrical parameters that are used to create a model by using RBFNN in the online way. In addition, the determination of cleaning frequency is also developed for dirty PV modules depending upon the dust deposition velocity, then the correlation among deposited dust density including power performance of photovoltaic module. The proposed method is activated in MATLAB/Simulink site under four different test cases and the efficiency is compared with other existing methods. Furthermore, optimum solutions for proposed technique, the current, voltage, power are also analyzed. In 100 iterations, the first order statistic evaluation for all the cases is obtained using proposed and existing techniques such as ANN, GBDT, SSA, and SSA-GBDT technique. In addition, the dependability, sensitivity, and accuracy of the proposed technique are also obtained. Computation time using various number of trails of proposed and existing techniques is analyzed for 100, 150, 200, 250, and 500 trails. The proposed technique achieves the trail number of 100, 150, 200, 250, and 500 trails is 48.1740 seconds, 51.2133 seconds, 71.0483 seconds, 60.00126 seconds, and 57.80132 seconds.

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“…OPTA ranges from 12 to 25 degrees for thin films, 5 to 13 degrees for monocrystalline, and 11 to 15 degrees for polycrystalline. Nicolás et al [21] developed OPTA equation as an objective of albedo, diffuse fraction and latitude. Root mean square error in estimation is found to be 2%.…”

Section: Introductionmentioning

confidence: 99%

Novel Approach to Investigate the Influence of Optimum Tilt Angle on Minimum Cost of Energy-Based Maximum Power Generation and Sizing of PV Systems: A Case Study of Diverse Climatic Zones in India

et al. 2021

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Optimum Photovoltaic (PV) system integration in power grid depend upon the total of power accessible from the PV. To figure the PV systems highest power yield, PV panels must be positioned at an optimal tilt angle (OPTA) to absorb maximum solar radiation (SR). This OPTA is a function of the latitude, clearness index, diffuse SR, global SR, direct SR and optimum PV size. Therefore OPTA has an impact on maximum power generation and optimal PV system sizing. The PV is not installed at OPTA for most of the sites in India which is important for maximum power generation and optimum sizing of standalone PV systems. This results in variation of OPTA from site to site and its effect on PV sizing needs to be investigated. The innovative aspect of this work is the calculation of OPTA, which are employed as sensitive factors in Hybrid Optimization of Multiple Energy Resources (HOMER), to determine their impact on maximum optimum sizing and power generation for 26 cities in India's various climate zones. This methodology can be applied all over the world to determine the impact of OPTA on maximum power generation and size. It is found that OPTA varies from 63⁰ to 0⁰ throughout year in India and it is maximum for December in India. The results indicates that Net Present Cost varies from $1105 to $1280 and Cost of Energy (COE) variation is 0.041 to 0.048 $/kWh throughout India cities and low temperature sites are good for photovoltaic (PV) power generation. Two axis tracking system produces more power in comparison to other tracking systems. This research is beneficial for researcher and industry to install PV system in different climatic zones of India to generate maximum power at minimum cost of energy.

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A global annual optimum tilt angle model for photovoltaic generation to use in the absence of local meteorological data

Cited by 22 publications

References 35 publications

Development of Optimal Tilt Angle Models of a Photovoltaic Module for Maximum Power Production: Ethiopia

Development of Optimal Tilt Angle Models of a Photovoltaic Module for Maximum Power Production: Ethiopia

Hybrid TSA‐RBFNN based approach for MPPT of the solar PV panel under the effects of tilt angles variations and environmental effects

Novel Approach to Investigate the Influence of Optimum Tilt Angle on Minimum Cost of Energy-Based Maximum Power Generation and Sizing of PV Systems: A Case Study of Diverse Climatic Zones in India

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