Bouasria Youssef, Zaimi Mhammed, El Ainaoui Khadija, Assaid El Mahdi^*

Energy Engineering, Vol.122, No.10, pp. 4195-4223, 2025, DOI:10.32604/ee.2025.067425 - 30 September 2025

Abstract Current research focuses on the performance degradation of photovoltaic (PV) modules, examining both crystalline silicon (p-Si and m-Si) and thin-film technologies, including a-Si/c-Si, HIT, CdTe and CIGS. These modules were operated outdoors in two distinct climatic zones in the United States (US) over a period of three years. The degradation analysis includes the study of various quantities, such as the decrease in peak power, the reduction in current and voltage, and the variation in the fill factor. The annual degradation rate (DR) of PV modules is obtained by a linear fit of the effective maximum… More >

Khadija Ibaararen, Mhammed Zaimi, Khadija El Ainaoui, El Mahdi Assaid^*

Energy Engineering, Vol.122, No.9, pp. 3487-3505, 2025, DOI:10.32604/ee.2025.067422 - 26 August 2025

Abstract This study investigates the complex heat transfer dynamics in multilayer bifacial photovoltaic (bPV) solar modules under spectrally resolved solar irradiation. A novel numerical model is developed to incorporate internal heat generation resulting from optical absorption, grounded in the physical equations governing light-matter interactions within the module’s multilayer structure. The model accounts for reflection and transmission at each interface between adjacent layers, as well as absorption within individual layers, using the wavelength-dependent dielectric properties of constituent materials. These properties are used to calculate the spectral reflectance, transmittance, and absorption coefficients, enabling precise quantification of internal heat… More >

Rahool Rai^1,2,3,*, Fareed Hussain Mangi⁴, Kashif Ahmed², Sudhakar Kumaramsay^1,5,6,*

Energy Engineering, Vol.122, No.1, pp. 153-166, 2025, DOI:10.32604/ee.2024.051789 - 27 December 2024

Abstract The growing need for sustainable energy solutions, driven by rising energy shortages, environmental concerns, and the depletion of conventional energy sources, has led to a significant focus on renewable energy. Solar energy, among the various renewable sources, is particularly appealing due to its abundant availability. However, the efficiency of commercial solar photovoltaic (PV) modules is hindered by several factors, notably their conversion efficiency, which averages around 19%. This efficiency can further decline to 10%–16% due to temperature increases during peak sunlight hours. This study investigates the cooling of PV modules by applying water to their… More >

Ezhilmathi Nagarathinam¹, Buvana Devaraju², Karthiyayini Jayamoorthy³, Padmavathi Radhakrishnan⁴, Santhana Lakshmi ChandraMohan⁵, Vijayakumar Perumal⁶, Karthikeyan Balakrishnan^7,*

Energy Engineering, Vol.121, No.8, pp. 2129-2142, 2024, DOI:10.32604/ee.2024.052280 - 19 July 2024

Abstract Maximum Power Point Tracking (MPPT) is crucial for maximizing the energy output of photovoltaic (PV) systems by continuously adjusting the operating point of the panels to track the point of maximum power production under changing environmental conditions. This work proposes the design of an MPPT system for solar PV installations using the Differential Grey Wolf Optimizer (DGWO). It dynamically adjusts the parameters of the MPPT controller, specifically the duty cycle of the SEPIC converter, to efficiently track the Maximum Power Point (MPP). The proposed system aims to enhance the energy harvesting capability of solar PV More >

Mame Cheikh Diouf¹, Mactar Faye^1,2,*, Ababacar Thiam^1,2, Alphousseyni Ndiaye^1,2, Vincent Sambou²

FDMP-Fluid Dynamics & Materials Processing, Vol.18, No.5, pp. 1275-1284, 2022, DOI:10.32604/fdmp.2022.021972 - 27 May 2022

Abstract The operating temperature is a critical factor affecting the performances of photovoltaic (PV) modules. In this work, relevant models are proposed for the prediction of this operating temperature using data (ambient temperature and solar irradiance) based on real measurements conducted in the tropical region. For each weather condition (categorized according to irradiance and temperature levels), the temperatures of the PV modules obtained using the proposed approach is compared with the corresponding experimentally measured value. The results show that the proposed models have a smaller Root Mean Squared Error than other models developed in the literature More >

Zhongyao Du^1,*, Xiaoying Chen¹, Hao Wang², Xuheng Wang¹, Yu Deng¹, Liying Sun¹

Energy Engineering, Vol.119, No.4, pp. 1419-1438, 2022, DOI:10.32604/ee.2022.020283 - 23 May 2022

Abstract To attain the goal of carbon peaking and carbon neutralization, the inevitable choice is the open sharing of power data and connection to the grid of high-permeability renewable energy. However, this approach is hindered by the lack of training data for predicting new grid-connected PV power stations. To overcome this problem, this work uses open and shared power data as input for a short-term PV-power-prediction model based on feature transfer learning to facilitate the generalization of the PV-power-prediction model to multiple PV-power stations. The proposed model integrates a structure model, heat-dissipation conditions, and the loss… More >

Ramkiran Bhallamudi^1,2, Sudhakar Kumarasamy^3,4,5, Chinnayan Karuppaiyah Sundarabalan^1,*

Energy Engineering, Vol.118, No.6, pp. 1827-1838, 2021, DOI:10.32604/EE.2021.016798 - 10 September 2021

Abstract This study presents an experimental performance of a solar photovoltaic module under clean, dust, and shadow conditions. It is found that there is a significant decrease in electrical power produced (40% in the case of dust panels and 80% in the case of shadow panels) and a decrease in efficiency of around 6% in the case with dust and 9% in the case with the shadow, as compared to the clean panel. From the results, it is clear that there is a substantial effect of a partial shadow than dust on the performance of the More >