Article
Green & Sustainable Science & Technology
Bouchra Laarabi, Srinivasa Sankarkumar, Natarajan Rajasekar, Youssef El Baqqal, Abdelfettah Barhdadi
Summary: This research focuses on the impact of pollution on solar energy systems, specifically the influence of dust on the transmittance of glass samples in Tamil Nadu, India. A comparative analysis is also conducted between this study and a previous one conducted in Morocco. The study concludes that pollution is a complex phenomenon affected by various variables such as location, time, and measurements.
SUSTAINABLE ENERGY TECHNOLOGIES AND ASSESSMENTS
(2022)
Review
Green & Sustainable Science & Technology
B. Laarabi, Y. El Baqqal, N. Rajasekar, A. Barhdadi
Summary: Solar energy can be easily converted to electricity using different technologies, but conversion efficiency is affected by factors such as soiling phenomenon caused by accumulation of dust and contaminants. This phenomenon, especially for photovoltaic modules, is the focus of the research, including methods of quantification and factors influencing soiling. The study also discusses mitigation methods and provides a summary of key contributions from Morocco and India.
JOURNAL OF CLEANER PRODUCTION
(2021)
Article
Thermodynamics
Prasanth K. Enaganti, Ankur Bhattacharjee, Aritra Ghosh, Yusuf N. Chanchangi, Chanchal Chakraborty, Tapas K. Mallick, Sanket Goel
Summary: The study shows that natural dust accumulation significantly reduces energy generation from PV modules.
Article
Energy & Fuels
Hussein A. Kazem, Miqdam T. Chaichan, Ali H. A. Al-Waeli, K. Sopian
Summary: In this study, the impact of dust accumulation on photovoltaic modules was investigated, and the effectiveness of different cleaning methods was evaluated. The results showed that dust accumulation significantly decreased the power output, with polycrystalline modules being more affected than monocrystalline modules. The study recommended the use of a sodium solution with rubber and cloth brushes for optimal cleaning.
Article
Environmental Sciences
Hussein A. Kazem, Miqdam T. Chaichan, Ali H. A. Al-Waeli
Summary: This study compares the performance degradation of monocrystalline and polycrystalline photovoltaic modules due to dust accumulation and tests different cleaning methods. The results show that monocrystalline modules experience higher power degradation, but the dust accumulation rate in the study area is relatively low compared to other Gulf countries.
ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH
(2022)
Article
Green & Sustainable Science & Technology
Miguel-Angel Munoz-Garcia, Tom Fouris, Eric Pilat
Summary: This study presents a methodology to analyze the effects of dust deposition on energy production of PV modules using optical and electrical approaches. Experiments included simulating different climatic conditions and found electrical losses fluctuated depending on the dust load and deposition conditions.
Review
Green & Sustainable Science & Technology
Ricardo Conceicao, Jose Gonzalez-Aguilar, Ahmed Alami Merrouni, Manuel Romero
Summary: This review comprehensively describes the evolution of research on soiling in the solar energy field over time. It covers past research, including notable works, and provides an extensive literature survey from 1942 to 2019. The analysis enriches knowledge about existing research and provides insights on cleaning techniques and environmental effects on soiling deposition. Future prospects and research directions are also discussed.
RENEWABLE & SUSTAINABLE ENERGY REVIEWS
(2022)
Article
Green & Sustainable Science & Technology
N. Simal Perez, J. Alonso-Montesinos
Summary: This study developed a geographical map for selecting optimal sites for photovoltaic plants in the Iberian Peninsula and the Balearic Islands (Spain), considering factors such as photovoltaic potential, terrain orography, and losses caused by dust deposition. Economic profitability maps and amortization times were also developed, with the worst case scenario indicating that the installation can be amortized within 9 years with a total economic benefit of 806 Meuro. Additionally, the study calculated the annual savings in terms of CO2 emissions, resulting in a total saving of 3000 M metric tonnes of CO2.
JOURNAL OF CLEANER PRODUCTION
(2023)
Article
Chemistry, Multidisciplinary
Noelia Simal Perez, Joaquin Alonso-Montesinos, Francisco Javier Batlles
Summary: This study estimated energy losses in photovoltaic solar power plants using artificial intelligence techniques, with tests showing that including the short circuit current (Isc) in the evaluation resulted in lower errors and higher correlation coefficients, while practically eliminating the mean bias error.
APPLIED SCIENCES-BASEL
(2021)
Article
Green & Sustainable Science & Technology
Seyyed Ali Sadat, Jamal Faraji, Mohammad Nazififard, Abbas Ketabi
Summary: This paper conducts controlled experiments to determine the characteristics of a dust sample from the desert region of Iran and its impact on the power efficiency of solar photovoltaic modules. The results show that increasing dust density significantly decreases the output parameters of photovoltaic modules.
SUSTAINABLE ENERGY TECHNOLOGIES AND ASSESSMENTS
(2021)
Article
Thermodynamics
Shobhit Chaturvedi, Elangovan Rajasekar
Summary: This study contrasts deterministic approach in building energy simulation with probabilistic uncertainty/sensitivity simulation approach, highlighting the higher accuracy and reliability of the latter. The PAWN method allows simultaneous treatment of continuous and categorical inputs, and is favorable when computational resources are limited and model outputs are skewed or multi-modal.
BUILDING SIMULATION
(2022)
Article
Energy & Fuels
Brahim Aissa, Giovanni Scabbia, Benjamin W. Figgis, Juan Garcia Lopez, Veronica Bermudez Benito
Summary: This study reports on the field assessment of the Mars (TM) optical soiling sensor for PV-soiling measurement in a desert environment. The sensor demonstrated good performance in the hot, sunny, and dusty climate of Qatar, with a good fit between the Mars (TM) sensor and the conventional method. The findings demonstrate the feasibility and potential of the Mars (TM) sensor for measuring PV-soiling in different geographical locations and commercial-scale installations.
Article
Engineering, Environmental
Hanna F. Varga, Mark R. Wiesner
Summary: This study tests the reliability of a centrifugal technique to estimate the removal force of airborne particles from photovoltaic panels compared to atomic force microscopy (AFM). The technique highlights the importance of particle characteristics and can be used to predict the probability of particle detachment.
ENVIRONMENTAL SCIENCE & TECHNOLOGY
(2022)
Review
Energy & Fuels
Adam M. Law, Luke O. Jones, John M. Walls
Summary: Solar photovoltaics is a significant source of renewable energy, and the installed capacity of PV modules has exceeded 1TWp worldwide. However, these modules experience reflection losses at the front glass surface, which can be mitigated by anti-reflection coatings. This review examines the different types of anti-reflection coatings for solar modules and discusses their durability and potential alternatives.
Article
Construction & Building Technology
Belal Ghaleb, Muhammad Asif
Summary: This study investigates the utilisability of commercial buildings' roofs for solar PV, identifying and categorizing different types of restrictive features. The results are validated and assessed through site visits and remote sensing techniques.
ENERGY AND BUILDINGS
(2022)
Article
Energy & Fuels
Oscar May Tzuc, Jorge J. Chan-Gonzalez, Ivan E. Castaneda-Robles, Francisco Lezama-Zarraga, Moises Moheno-Barrueta, Mario Jimenez Torres, Roberto Best
Summary: This study presents a numerical approach to optimize the absorption flux into a heat exchanger in absorption refrigeration systems. The researchers trained an artificial neural network to correlate the operational parameters and thermal properties with a high precision. They identified the variables that have the most impact on absorption flux optimization and proposed a method to improve mass transfer in the heat exchanger. The results obtained are highly important for the development of more competitive absorption cooling systems.
ENERGY EXPLORATION & EXPLOITATION
(2022)
Article
Engineering, Electrical & Electronic
E. Cruz May, A. Bassam, Luis J. Ricalde, M. A. Escalante Soberanis, O. Oubram, O. May Tzuc, Alma Y. Alanis, A. Livas-Garcia
Summary: This study combines global sensitivity analysis with data-driven techniques to evaluate the interaction of the Mexican electricity market and assess the impact of parameters on locational marginal prices. It compares three artificial intelligence techniques for predicting electricity prices under real-time market conditions. The results show that the impact of variables fluctuates depending on market and consumption conditions.
INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS
(2022)
Article
Chemistry, Multidisciplinary
Roberto I. Rico-Camacho, Luis J. Ricalde, Ali Bassam, Manuel I. Flota-Banuelos, Alma Y. Alanis
Summary: The paper proposes an algorithm for MPPT that accurately identifies power changes caused by irradiance changes and achieves maximum power point tracking through accurate judgment of the perturbation direction, resulting in better tracking performance compared to traditional algorithms.
APPLIED SCIENCES-BASEL
(2022)
Article
Green & Sustainable Science & Technology
M. A. Escalante Soberanis, Caridad Vales-Pinzon, Emanuel Hernandez-Nunez, Manuel Flota-Banuelos, J. Medina, R. Quintal-Palomo, Liliana San-Pedro, Miguel Ruiz-Gomez
Summary: In this research, the effect of temperature on the hydrolysis reaction of recycled aluminum for hydrogen production was evaluated. The study found that the highest production of H-2 occurred at 50 degrees C, with a purity of 93.33%. However, at room temperature, the reaction efficiency was still high, with a production of 660 mL of H-2 in 268 s. The physicochemical characterization of the solid residues showed that they contained aluminum, sodium, and oxygen, with the main crystalline phases being aluminum hydroxide and sodium aluminum oxide hydrate. Overall, the production of H-2 from recycled aluminum at room temperature was found to be a viable option for clean power generation with lower energy consumption and financial costs compared to traditional technologies.
CLEAN TECHNOLOGIES AND ENVIRONMENTAL POLICY
(2023)
Article
Environmental Sciences
Dounia Dahlioui, Soukaina Medaghri Alaoui, Bouchra Laarabi, Abdelfettah Barhdadi
Summary: This research investigated the adaptability of cleaning systems to solar trackers and found that automatic cleaning had similar efficiency to manual cleaning, reducing energy losses and increasing energy production. Economic analysis revealed that automatic cleaning had lower costs and faster payback time, making it suitable for highly polluted arid regions.
ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH
(2023)
Article
Environmental Sciences
Bouchra Laarabi, Natarajan Rajasekar, Nikhil Pattath Gopi, Abdelfettah Barhdadi
Summary: The present study characterizes dust particles in South India through image analysis, focusing on factors influencing the accuracy of the analysis. Results show that the shape and size of dust particles vary with the tilt angle of the samples. Moreover, using three images produces more precise and representative results.
ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH
(2023)
Article
Environmental Sciences
Hajar Chamali, Abdelouahed Dahrouch, Bouchra Laarabi, El Houssaine Fathi, Abdelfettah Barhdadi
Summary: This study proposes an image analysis technique that combines a new generation optical microscope and image processing software for studying dirt particles on PV modules in three different regions. The method provides an accurate assessment of particle size distribution and shows that only three images are needed to represent the entire sample area.
ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH
(2023)
Article
Energy & Fuels
Manuel Flota-Banuelos, Maria Espinosa-Trujillo, Jose Cruz-Chan, Tariq Kamal
Summary: In photovoltaic systems, inverters play a crucial role in providing an energy supply. However, when there is insufficient or no renewable power generation, the inverter remains inactive, leading to decreased performance. This paper presents a control scheme that allows the inverter to operate as a VAR compensator, generating reactive power in the absence of renewable sources to improve power factor and overall efficiency.
Article
Green & Sustainable Science & Technology
M. Jimenez Torres, David Bienvenido-Huertas, O. May Tzuc, A. Bassam, Luis J. Ricalde Castellanos, M. Flota-Banuelos
Summary: Insufficient thermal performance of buildings in Mexico leads to intensive energy use. This research examines the energy demand required to meet the country's cooling needs using weather-based technical indexes. The study analyzes 2440 municipalities in Mexico and considers climate change projections. The results show a significant increase in air conditioning energy demand, with over 50% of the country requiring high levels of air conditioning. The study also identified the time frames with the highest operating requirements and the regions with similar patterns in air conditioning.
ENERGY FOR SUSTAINABLE DEVELOPMENT
(2023)
Article
Mathematics
R. Peon-Escalante, Manuel Flota-Banuelos, Roberto Quintal-Palomo, Luis J. Ricalde, F. Penunuri, B. Cruz Jimenez, J. Aviles Vinas
Summary: This paper proposes controlling the variable velocity of the drive crank of a four-bar mechanism to achieve desired output motions. A neural network is trained using data from the kinematic model to estimate the reference trajectory for the crank velocity. The control law is designed using feedback linearization and a Proportional-Integral-Derivative (PID) controller. Simulation results validate the effectiveness of the proposed scheme for three variable speed profiles.
Article
Green & Sustainable Science & Technology
Salma Zaim, Mohamed El Ibrahimi, Asmae Arbaoui, Abderrahim Samaouali, Mouhaydine Tlemcani, Abdelfettah Barhdadi
Summary: This study proposes the use of artificial neural networks and XGBoost algorithm for modeling hourly global solar radiation in a humid climate. Important meteorological data are selected and validated, and two ANN models and one XGBoost model are chosen with similar performances, with coefficient of determination values of 98% and 97% respectively. Statistical indicators prove to be effective in assessing the accuracy and fidelity of each model. The intent of the modeling in terms of accuracy, simplicity, and fidelity is a crucial factor in selecting the model algorithm to adopt.
Article
Environmental Sciences
Badr Akharkhach, Abdelfettah Barhdadi
Summary: Development of novel self-cleaning technologies, especially those based on semiconductor photocatalysis system, is one of the most important research problems in environmental cleanup. This study explores the influence of specific doping configurations, such as Br or Cl doping at an O site, on the electronic structure and charge density distribution within rutile TiO2 using first-principle calculations based on density functional theory. Furthermore, the optical properties of the material as a self-cleaning coating on photovoltaic panels have been examined.
ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH
(2023)
Article
Construction & Building Technology
S. G. Mengual Torres, O. May Tzuc, K. M. Aguilar-Castro, Margarita Castillo Tellez, J. Ovando Sierra, Andrea Del Rosario Cruz-Y Cruz, Francisco Javier Barrera-Lao
Summary: This study assessed the energy-use index and carbon-footprint performance of medium-category Mexican hotels and found that it is possible to reduce energy consumption through partial replacement of energy-consuming devices without full equipment replacement.