Article
Multidisciplinary Sciences
Ambe Harrison, Njimboh Henry Alombah, Jean de Dieu Nguimfack Ndongmo
Summary: The efficient operation of PV systems requires maximum power point tracking (MPPT). However, under partial shading conditions (PSC), PV systems exhibit complex behavior with multiple maximum power points (MPP). Existing MPPT algorithms like perturb and observe, and incremental conductance are simple but fail to track the global MPP due to the presence of multiple MPPs under PSC. To solve this problem, this paper introduces a novel approach to determine the single MPP and improve the tracking performance of simple conventional MPPT algorithms under PSC.
Article
Energy & Fuels
Razman Ayop, Muhammad Fariz Izzwan Zaki, Chee Wei Tan, Shahrin Md Ayob, Mohd Junaidi Abdul Aziz
Summary: This paper proposes the optimal sizing for the ideal PV MPPT buck converter and optimizes the converter design by deriving the equations for the inductance and capacitance. The experimental results show that the proposed design allows the converter to operate stably in CCM and near DCM, meeting the requirements for output voltage ripple.
Article
Thermodynamics
Yong Wang, Mojtaba Lak Kamari, S. Haghighat, Phuong Thao Thi Ngo
Summary: The study utilized computational fluid dynamics to determine the temperature of photovoltaic cells under different operating conditions and proposed a reliable predictive model using an artificial neural network. The model considered the impact of temperature on cell efficiency, providing a simple and cost-effective alternative to traditional experimental evaluation methods.
JOURNAL OF THERMAL ANALYSIS AND CALORIMETRY
(2021)
Article
Green & Sustainable Science & Technology
Haoran Wen, Yang Du, Xiaoyang Chen, Eng Gee Lim, Huiqing Wen, Ke Yan
Summary: This article proposes a novel generative approach for regional solar forecasting, which creates solar irradiance maps (SIMs) and predicts PV power output. The method demonstrates comparable accuracy in solar irradiance forecasting and better predictions in PV power generation. It has the potential to assist solar energy assessment and power system control in highly-penetrated regions.
Article
Environmental Sciences
Sonia Z. Issaq, Shamil K. Talal, Aasim A. Azooz
Summary: A new model has been developed to determine the optimal tilt angle for PV panels and solar collectors based on yearly, seasonal, and monthly basis. The model estimates the diffusion component of solar radiation using Orgill and Holland's model, and the relationship between diffusion and direct components is derived from empirical data. The optimal tilt angle for each month, season, and year is determined by maximizing the total amount of diffused and direct radiation. The model is programmed in MATLAB and is consistent with experimental data and other published model predictions.
ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH
(2023)
Article
Green & Sustainable Science & Technology
Ibrahim Diab, Bram Scheurwater, Alice Saffirio, Gautham Ram Chandra-Mouli, Pavol Bauer
Summary: This paper explores the integration of renewable energy sources into transportation networks. Through the comparison of different sizing and placement scenarios, it is found that low-traffic substations are best suited for PV systems with daily storage, high-traffic substations should be without storage and sized below their energy neutrality point, and a hybrid solution of 53% PV and 47% Wind offers the best outcome. The centralized energy-neutral approach with Wind and PV can provide a direct bus load coverage of 54.1%.
JOURNAL OF CLEANER PRODUCTION
(2022)
Article
Energy & Fuels
Calcabrini Andres, Cardose Ruben, Gribnau David, Babal Pavel, Manganiello Patrizio, Zeman Miro, Isabella Olindo
Summary: This article introduces a backward ray tracing simulation approach for calculating the irradiance on photovoltaic systems in geometrically complex scenarios. By storing the results of the most computationally expensive parts of the problem, the repetition of time-consuming simulation steps can be avoided. Experimental validation shows that the irradiance calculated with the proposed approach is in good agreement with the results of a well-established irradiance simulation tool. Furthermore, the proposed approach is well-suited for the simulation of high-resolution spectral irradiance in scenarios with time-varying reflectance properties, particularly for bifacial and tandem photovoltaic modules in complex urban environments.
PROGRESS IN PHOTOVOLTAICS
(2023)
Article
Economics
Bixuan Sun, Ashwini Sankar
Summary: This study examines the changing effectiveness of rebate programs as the solar market evolves, hypothesizing that the aggregate treatment effect of rebates increases and then decreases with declining costs and increasing net metering rate. Empirical tests confirm the hypotheses and identify the turning points where rebate impacts start to decline.
Article
Green & Sustainable Science & Technology
Alaa Qaisieh, Bassam A. Abu-Nabah, Mohammad O. Hamdan, Abdul Hai Alami, Layla Khanfar, Laila Zaki
Summary: This study aims to characterize the optical properties of dust particles accumulated over time and their effect on transmitted solar irradiance. The results show that different orientations of glass samples have varying levels of dust accumulation and reduction in transmitted optical spectrum. The dust density and reduction in transmitted irradiance increased over the study period.
Article
Energy & Fuels
M. Ryyan Khan, Intekhab Alam, M. Rezwan Khan
Summary: Due to falling prices of solar panels, green energy from solar PV is gaining more attention in industries. This paper proposes using a DC link instead of an AC link to connect the solar PV system and the grid for running industrial drives. By eliminating the grid-tied inverter and using a DC link, power sharing between the PV output and the grid can be achieved. Experimental/practical results show a 20% reduction in energy cost with over 90% system efficiency, making solar PV energy more competitive and attractive to industries.
Article
Green & Sustainable Science & Technology
Ahmad M. A. Malkawi, Abdallah Odat, Ahmad Bashaireh
Summary: This research paper presents a novel algorithm for maximum power point tracking (MPPT) in solar panels. The algorithm is able to estimate solar irradiance and circuit parameters without the need for expensive sensors, and it can handle fast variations in irradiance. Experimental and simulation results show that the proposed method is effective and robust.
Article
Chemistry, Physical
Gamze Soyturk, Onder Kizilkan, Mehmet Akif Ezan, C. Ozgur Colpan
Summary: This paper presents the design and modeling of a solar and hydrogen energy-based integrated energy system. The system consists of photovoltaic cells, battery banks, an electrolyzer, a hydrogen compressor, and a high-pressure hydrogen tank. Mathematical modeling and an energy management strategy were used to investigate the dynamic behavior of the system. The results of the parametric study show that the hydrogen production is higher in summer and lower in winter. An economic analysis of the hybrid system was also conducted.
INTERNATIONAL JOURNAL OF HYDROGEN ENERGY
(2023)
Article
Energy & Fuels
Sergio Gualteros, Daniel R. Rousse
Summary: This article presents a methodology and software tool for rural off-grid communities and users with little knowledge about solar photovoltaic water pumping systems to provide safe drinking water. The study found that the size of a project largely depends on population tolerance to water shortage, and introduced the concept of water shortage probability to help define appropriate system size and cost. The research also revealed that only about 10% of the total energy produced by PV modules is effectively utilized to meet water needs.
Article
Thermodynamics
Milky Ali Gelchu, Jimmy Ehnberg, Dereje Shiferaw, Erik O. Ahlgren
Summary: Solar PV-based autonomous mini-grids are a cost-effective and reliable option for rural electrification. However, the high initial investment cost for renewable energy technologies poses a challenge for rural communities. By implementing demand-side management (DSM), the cost-efficiency of mini-grids in rural areas can be improved. This study aims to determine the impact of DSM implementation at a category level on the cost-effectiveness of mini-grid components sizing for different load categories.
Article
Energy & Fuels
Ahmed Rashwan, Alexey Mikhaylov, Mahmoud Hemeida, Gabor Pinter, Dina S. Osheba
Summary: This study presents a new topology for single-phase photovoltaic grid connection, consisting of two cascaded stages connected by a high-frequency transformer. The first stage incorporates a new buck-boost inverter with energy storage, capable of converting the output voltage of the PV module to a high-frequency square wave and enhancing maximum power point tracking. The second stage uses a rectifier-inverter system to interface the high-frequency square wave with the utility grid. The proposed topology improves system power quality, increases power density, reduces grid filter size, and enhances system reliability.
Article
Energy & Fuels
Siddharth Sradhasagar, Omkar Subhasish Khuntia, Srikanta Biswal, Sougat Purohit, Amritendu Roy
Summary: In this study, machine learning models were developed to predict the bandgap and its character of double perovskite materials, with LGBMRegressor and XGBClassifier models identified as the best predictors. These models were further employed to predict the bandgap of novel bismuth-based transition metal oxide double perovskites, showing high accuracy, especially in the range of 1.2-1.8 eV.
Article
Energy & Fuels
Wei Shuai, Haoran Xu, Baoyang Luo, Yihui Huang, Dong Chen, Peiwang Zhu, Gang Xiao
Summary: In this study, a hybrid model based on numerical simulation and deep learning is proposed for the optimization and operation of solar receivers. By applying the model to different application scenarios and considering multiple performance objectives, small errors are achieved and optimal structure parameters and heliostat scales are identified. This approach is not only applicable to gas turbines but also heating systems.
Article
Energy & Fuels
Mubashar Ali, Zunaira Bibi, M. W. Younis, Muhammad Mubashir, Muqaddas Iqbal, Muhammad Usman Ali, Muhammad Asif Iqbal
Summary: This study investigates the structural, mechanical, and optoelectronic properties of the BaCuF3 fluoroperovskite using the first-principles modelling approach. The stability and characteristics of different cubic structures of BaCuF3 are evaluated, and the alpha-BaCuF3 and beta-BaCuF3 compounds are found to be mechanically stable with favorable optical properties for solar cells and high-frequency UV applications.
Article
Energy & Fuels
Dong Le Khac, Shahariar Chowdhury, Asmaa Soheil Najm, Montri Luengchavanon, Araa mebdir Holi, Mohammad Shah Jamal, Chin Hua Chia, Kuaanan Techato, Vidhya Selvanathan
Summary: A novel recycling system is proposed in this study to decompose and reclaim the constituent materials of organic-inorganic perovskite solar cells (PSCs). By utilizing a one-step solution process extraction approach, the chemical composition of each layer is successfully preserved, enabling their potential reuse. The proposed recycling technique helps mitigate pollution risks, minimize waste generation, and reduce recycling costs.
Article
Energy & Fuels
Peijie Lin, Feng Guo, Xiaoyang Lu, Qianying Zheng, Shuying Cheng, Yaohai Lin, Zhicong Chen, Lijun Wu, Zhuang Qian
Summary: This paper proposes an open-set fault diagnosis model for PV arrays based on 1D VoVNet-SVDD. The model accurately diagnoses various types of faults and is capable of identifying unknown fault types.
