Implicit meteorological parameter-based empirical models for estimating back temperature solar modules under varying tilt-angles in Lagos, Nigeria

Obiwulu, Anthony Umunnakwe; Chendo, M.A.C.; Erusiafe, Nald; Nwokolo, Samuel Chukwujindu

doi:10.1016/j.renene.2019.05.136

Cited by 36 publications

(13 citation statements)

References 32 publications

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“…Twelve models has been developed based on performance analysis from each module hence total 48 models has been developed and tested on statistical indicators such as Mean Bias Error (MBE), Mean Percentage Error (MPE), Root Mean Square Error (RMSE), Relative Root Mean Square Error (RRMSE), coefficient of determination (R) 2 and Global Performance Indicator (GPI). These tests showed that model 44, is the most excellent performing model regarding accuracy as compared to other models [25].…”

Section: Introductionmentioning

confidence: 90%

Estimation of Solar Radiation on Tilted Surface by Using Regression Analysis at Different Locations in India

Qadeer

Khan

Alam

2020

DGAEJ

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This study is to find the regression model for estimation of monthly mean hourly global solar radiation on tilted surface at different locations of India. This study is quite precious due to lack of solar radiation data availability on the tilted surface. Firstly, we have selected some locations having different climatic conditions such as New Delhi, Mumbai, Kolkata, Lucknow and Jaipur to find the solar radiation on tilted surface using Liu and Jordan model, HDKR model and Perez model. The mean values of these models are plotted along with the daytime. Based on regression techniques, four empirical models are developed which are tested to compute the solar radiation on tilted surface for three new stations Ahmadabad, Bangalore and Chennai. The estimated solar radiation by these four developed models are compared with the estimated values using existing models Lie & Jordan, HDKR and Perez based on mean bias error (MBE) and root mean square error (RMSE). It has been found that developed Model-3 has minimum error and the values estimated this model is comparable to existing models. The maximum values of RMSE in Model-3 in tested stations are 2.01% with Liu and Jordan, 2.63% with HDKR and 2.10% with Perez. Similarly, maximum values of MBE are −1.79% with Liu and Jordan, −2.27% with HDKR and −1.89% with Perez. Now the Model-3 finally selected to determine the solar radiation on Bhopal, Bhubneshwar, Dehradun, Guwahati and Trivendrum (Thiruvananthapuram).

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Section: Introductionmentioning

confidence: 90%

Estimation of Solar Radiation on Tilted Surface by Using Regression Analysis at Different Locations in India

Qadeer

Khan

Alam

2020

DGAEJ

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“…The longer the PV cells are exposed to low AP (a+b) environments, implying a high humidity environment, the steeper the expected performance degradation. This could be due to the high concentration of water vapor in the atmosphere, which often leads to the disintegration of the cavity [10].…”

Section: Introductionmentioning

confidence: 99%

Effects of Angstrom-Prescott and Hargreaves-Samani Coefficients on Climate Forcing and Solar PV Technology Selection in West Africa

Agbor

Udo

Ewona³

et al. 2023

Tr Ren Energy

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We evaluated and compared the performance of simulated Angström-Prescott (AP) and Hargreaves-Samani (HS) models on monthly and annual timescales using generalized datasets covering the entire West African region. The fitted AP model yielded more efficient parameters of a = 0.366 and b = 0.459, whereas the HS model produced a 0.216 coefficient based on an annual timescale, which is more suitable in the region compared to coefficients recommended by the Food and Agriculture Organization (FAO) (a = 0.25 and b = 0.5) and HS (0.17), respectively. Employing the FAO and HS recommended coefficients will introduce a relative percentage error (RPE) of 18.388% and 27.19% compared to the RPEs of 0.0014% and 0.1036% obtained in this study, respectively. When considering time and resource availability in the absence of ground-measured datasets, the coefficients obtained in this study can be used for predicting global solar radiation within the region. According to the AP and HS coefficients, the polycrystalline module (p-Si) is more reliable than the monocrystalline module (m-Si) because the p-Si module has a higher tendency to withstand the high temperatures projected to affect the region due to its higher intrinsic properties based on the AP and HS coefficients assessment in the region.

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“…It is therefore essential to consider the optimum tilt angle and orientation of a solar PV module in order to ensure maximum efficiency and performance during its lifetime. To accurately assess the optimum tilt angle and orientation of a solar PV module, several factors must be taken into account, such as the site location [1], local climate [2], seasonal changes in temperature [3] and incident radiation [4], as well as soiling effects caused by dust [5] and other environmental factors [6].…”

Section: Introductionmentioning

confidence: 99%

Assessing the Impact of Soiling, Tilt Angle, and Solar Radiation on the Performance of Solar PV Systems

Nwokolo

Obiwulu²,

Amadi³

et al. 2023

Tr Ren Energ

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This research examined the observed datasets and a theoretically derived model for estimating yearly optimum tilt angle (β), maximum incident solar radiation (Hmax), clean gain indicator (CGI), and soiling loss indicator (SLI) at Mumbwa, Zambia, the Mediterranean Region, and low latitude locations across the globe. The cleaned tilted collector emerged as the best performing collector due to Hmax and much higher energy gains compared with the soiled collector. CGI showed an appreciable performance of 0.4737% over -0.4708% on the SLI, indicating that soiling on the surface of photovoltaic (PV) modules significantly depreciates the overall performance of PV modules. Two established empirical models obtained from the literature were compared with the established theoretical model (β=φ). The result revealed that the two models overestimated the observed annual optimum tilt angle in this paper, simply because the models were developed with high latitude location datasets from the Asia continent. However, the newly established monthly and yearly global radiation indicator (GRI) models by the authors in their previous paper performed excellently in the selected representative cities in the Mediterranean region.

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Implicit meteorological parameter-based empirical models for estimating back temperature solar modules under varying tilt-angles in Lagos, Nigeria

Cited by 36 publications

References 32 publications

Estimation of Solar Radiation on Tilted Surface by Using Regression Analysis at Different Locations in India

Estimation of Solar Radiation on Tilted Surface by Using Regression Analysis at Different Locations in India

Effects of Angstrom-Prescott and Hargreaves-Samani Coefficients on Climate Forcing and Solar PV Technology Selection in West Africa

Assessing the Impact of Soiling, Tilt Angle, and Solar Radiation on the Performance of Solar PV Systems

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