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8th Future Technologies Conference, FTC 2023

作者： Assem, Rezki Lyamine, Guezouli Abderrezak, Benyahia Zineb, Seghir Abdelkrim, Lamraoui Computer Science Department LaSTIC Laboratory University - Batna 2 Batna Algeria Renewable Energies and New Technologies Department LEREESI Laboratory Higher National School of Renewable Energies Environment & Sustainable Development - Batna Batna Algeria

ISBN: (纸本)9783031474538

The amount of data generated by Vehicular Ad-Hoc Networks (VANETs) and the Internet of Vehicles (IoV) has increased exponentially, providing valuable insights into traffic patterns, road conditions, and driver behavior. However, the unstructured, incomplete, and unreliable nature of the data makes it challenging to process and analyze effectively. Traditional data processing techniques are limited in handling the complexity and scale of the data generated from VANETs and IoV due to the volume, variety, velocity, and veracity of the data. Inadequate data processing can result in inaccurate predictions and decisions, decreased system efficiency, and increased risk of safety incidents. This literature review plays a critical role in advancing our understanding of data processing in VANETs and IoV, identifying challenges and opportunities in this field, and exploring the potential benefits of more effective data processing techniques for the future of smart transportation systems (ITS). © 2023, The Author(s), under exclusive license to Springer Nature Switzerland AG.

关键词： Vehicular ad hoc networks

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Study on indoor pollutants emission in Akure, Ondo State, Nigeria

Arab Gulf Journal of Scientific Research

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Arab Gulf Journal of Scientific Research 2024年第4期42卷 1643-1663页

作者： Abulude, Francis Olawale Suriano, Domenico Oluwagbayide, Samuel Dare Akinnusotu, Akinyinka Abulude, Ifeoluwa Ayodeji Awogbindin, Emmanuel Environmental and Sustainable Research Group Science and Education Development Institute Akure Nigeria Department of Sustainable Development Research Center of Brindisi ENEA-Italian National Agency for New Technologies Energy and Environment Brindisi Italy Department of Agricultural and Bio-Environmental Engineering Federal Polytechnic Idah Nigeria Department of Science Laboratory Technology Rufus Giwa Polytechnic Owo Nigeria Department of Agricultural Economics Bioeconomy and Food Systems Justus – Liebig University (JLU) Giessen Germany Department of Computer Science Bamidele Olumilua University of Education Science and Technology Ekiti Ikere Nigeria

Purpose: This study aimed to characterize the concentrations of indoor pollutants (such as carbon dioxide (CO2), ozone (O3), nitrogen dioxide (NO2) and sulfur dioxide (SO2), as well as particulate matter (PM) (PM1, PM... 详细信息

Purpose: This study aimed to characterize the concentrations of indoor pollutants (such as carbon dioxide (CO₂), ozone (O₃), nitrogen dioxide (NO₂) and sulfur dioxide (SO₂), as well as particulate matter (PM) (PM₁, PM_2.5 and PM₁₀) in Akure, Nigeria, as well as the relationship between the parameters’ concentrations. Design/methodology/approach: The evaluation, which lasted four months, used a low-cost air sensor that was positioned two meters above the ground. All sensor procedures were correctly carried out. Findings: CO₂ (430.34 ppm), NO₂ (93.31 ppb), O₃ (19.94 ppb), SO₂ (40.87 ppb), PM₁ (29.31 µg/m3), PM_2.5 (43.56 µg/m³), PM₁₀ (50.70 µg/m³), temperature (32.4°C) and relative humidity (50.53%) were the average values obtained. The Pearson correlation depicted the relationships between the pollutants and weather factors. With the exception of April, which had significant SO₂ (18%) and low PM₁₀ (49%) contributions, NO₂ and PM₁₀ were the most common pollutants in all of the months. The mean air quality index (AQI) for NO₂indicated that the AQI was “moderate” (51–100). In contrast to SO₂, whose AQI ranged from “moderate” to “very unhealthy,” O₃'s AQI ranged from “good” (50) to “unhealthy” (151–200). Since PM₁, PM_2.5 and PM₁₀ made up the majority of PC1’s contribution, both PM_2.5 and PM₁₀ were deemed “hazardous.” Practical implications: The practical implication of indoor air pollution is long-term health effects, including heart disease, lung cancer and respiratory diseases such as emphysema. Indoor air pollution can also cause long-term damage to people’s nerves, brain, kidneys, liver and other organs. Originality/value: Lack of literature in terms of indoor air qu

关键词： Air quality index Indoor air quality Nigeria Pollutants United States environmental protection agency (USEPA) World health organization (WHO)

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Enhancing ANN Model Perfomance to be used for Solar Radiation Prediction

Enhancing ANN Model Perfomance to be used for Solar Radiatio...

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Smart Energy Systems and Artificial Intelligence (SESAI), International Conference on

作者： Djeldjeli Halima Tanougast Camel Benatiallah Djelloul Material Sciences Department Faculty of Material Sciences Mathematics and Computer Science Laboratory of Sustainable Development and Computer Science (LSDCS) University of Adrar Algeria Laboratory of Computer Production and Maintenance Engineering (LGIPM) University of Lorraine Fance

ISBN: (数字)9798350349689

ISBN: (纸本)9798350349696

A crucial first step in the design of solar energy systems and their efficacy assessment of their diverse applications involves determining solar irradiance. The aim of this work is to create a model developed using an Artificial Neural Network (ANN) to predict the daily global sun irradiance in Tindouf (Algeria). The average temperature, relative humidity, day of the year, duration, pressure, and extraterrestrial solar irradiation are the input data of the used model. A more satisfactory outcome would undoubtedly result from selecting the model's appropriate hyperparameters and handling missing data carefully. In this regard, we have created two models with the contribution of one hyperparameter optimization technique and two different approaches for handling missing data. The correlation coefficient (R) and mean absolute percentage error (MAPE) were used to evaluate the effectiveness of these models. With (R = 0.9026 and MAPE = 7.36%; rRMSE = 11.25%) in the testing phase, the findings over a five-year period showed that the model 1, employing the simple mean imputation approach and the Bayesian optimization method, gives better forecast of daily global sun radiation. Therefore, simple mean imputation may be an effective choice that can offer the best precision for the estimation of the daily solar radiation models when the data that is missing completely at random (MCAR) or missing at random (MAR) and the dataset is huge. In areas with a shortage of radiation monitoring stations, this model is helpful for sizing and building solar energy installations.

关键词： Solar irradiance Analytical models Accuracy Reviews Artificial neural networks Predictive models Data models

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Detecting Faults In Photovoltaic Panels And Diagnosing Them Using Hybrid Artificial Intelligence 2

Detecting Faults In Photovoltaic Panels And Diagnosing Them ...

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2nd International Conference on Energy Transition and Security, ICETS 2023

作者： Bouzidi, Mohammed Mansouri, Smail Harrouz, Abdelkader Ouledalli, Omar Department of Sciences and Technology University of Tamanghasset Algeria Energy and Materials Laboratory University of Tamanghasset Algeria University of Ahmed Draia Energy Environment and Information Systems Laboratory Adrar Algeria University of Ahmed Draia Sustainable Development and Computer Science Laboratory Adrar Algeria Ldd Laboratory University of Ahmed Draia Adrar Algeria

ISBN: (纸本)9798350372182

Solar energy has advanced to rank among the top renewable energy sources in the world today due to a number of factors, including sustainability. Solar energy is a naturally replenishing renewable energy source that does not quickly run out of supply. We can depend on the sun as a source of energy for thousands of years without damaging the biosphere. Additionally, solar panels can produce a lot of electricity even in areas with little sun exposure. Monitoring and identifying problems with self-sustaining solar panels have become increasingly crucial with the rise in their utilization. In this regard, a cutting-edge strategy (Adaptive Neuro -Fuzzy Inference System) largely reliant on smart technologies and hybrid artificial intelligence is suggested to guarantee and boost energy efficiency and improve the dependability of existing solar panels in the Algerian desert. Temperature variations and variances in solar radiation intensity cause substantial climate fluctuations in this area. This suggested method makes use of real-world data gathered from the examined system to help increase electricity output and promptly address any problems that may occur, assuring a steady supply of energy to remote places. In fact, the intelligent diagnostic method has produced remarkably accurate results, enabling the timing of the studied photovoltaic panels' flaws and the early diagnosis of any system problems. As a result, these systems are more productive and maintenance downtime is decreased. © 2023 IEEE.

关键词： Solar panels

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Effective Spline-GMPPT Approach Performance for Photovoltaic Systems under Uniform Irradiance and Partial Shading Conditions 2

Effective Spline-GMPPT Approach Performance for Photovoltaic...

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2nd International Conference on Energy Transition and Security, ICETS 2023

作者： Ahmed, Saidi Touhami, Abdelouahed Abdelghani, Draoui Amine, Meziane Mohamed Abdelkader, Harrouz Ahmed Draia University Laboratory of Sustainable Development and Computer Science Department of Electrical Engineering Adrar01000 Algeria University of Tahri Mohamed Laboratory of Smart Grid and Renewable Energy Department of Electrical Engineering Bechar08000 Algeria Tindouf37000 Algeria Naama University Center Naama45000 Algeria

ISBN: (纸本)9798350372182

In the literature, there are several criteria techniques classified to achieve the point of maximum power tracking (MPPT) in photovoltaic (PV) power systems, such as accuracy, speed, and simplicity. These criteria are often trade-offs;in this case, the higher accuracy generally achieved at the expense of two other criteria: speed and *** contribution proposes a new technique based on the Spline-Global-MPPT approach to provide its reliability in multiple criteria as an accurate, fast, and simple technique to find the MPP of PV power generation systems under two cases, such as uniform irradiance and partial shading conditions (PSCs), in the total distorted characteristics of the PV string. A cubic spline interpolation approach has proposed in this method, which defines from a few simple points an approximate *** localize the GMPP under standard (uniform) irradiance conditions, there are a huge number of interpolation-based approaches proposed in the literature. Unfortunately, this interpolation approach became incapable of detecting the point of the global maximum power (GMPP) under PSCs. The MPP of the system predicted by this new Spline-GMPPT method using a limited sample set of current and voltage, and it maintains this position as long as the external conditions stay unchanged. In the last part, the simulation results prove the reliability and robustness of the proposed approach. © 2023 IEEE.

关键词： Maximum power point trackers

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PEM Fuel Cell Electric Vehicle Controlled using PID controller

PEM Fuel Cell Electric Vehicle Controlled using PID controll...

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Energy Transition and Security (ICETS), International Conference on

作者： Chahrazed Lakrim Slimane Laribi Khaled Mammar Fatima Arama Moamen Alnatoor Faculty of Science and Technology Sustainable Development & Computer Science Laboratory (LDDI) Adrar Algeria Faculty of Science and Technology Smart Grids & Renewable Energies Laboratory (SGRE) Bechar Algeria

The application of highly proton-conductive polymers is a significant technological development. These polymers function well over a wide range of temperatures because of their exceptional chemical and thermal resilience. Researchers have recently made great efforts to develop PEM fuel cells. As well as their use in vehicle systems in particular. This paper explains, understands, and models a proposed system for a proton exchange membrane fuel cell. Using the PID controller, the cell energy flow is controlled to a specific value according to the change in vehicle *** this paper, a PID control unit is designed to control hydrogen flow when there are fluctuations in vehicle speed. MATLAB/SIMULINK simulated the PEM fuel *** simulation results show that good control effects can be achieved using the PID controller system.

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Intelligent Energy Management Strategy For Multi-Sources Isolated DC-Microgrid

Intelligent Energy Management Strategy For Multi-Sources Iso...

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Energy Transition and Security (ICETS), International Conference on

作者： Hafsi Oussama Hartani Mohamed Amine Soumeur Mohamed Amine Benhammou Aissa Chakar Abdeselem Abdelkhalek Othmane Sustainable Development and Computer Science Laboratory Ahmed Draia University Algeria Smart Grids and Renewable Energies Laboratory Tahri Mohamed University Bechar Algeria

In recent years, DC microgrids have exhibited notable advantages over traditional counterparts, particularly in standalone and agricultural applications. This paper presents a standalone DC microgrid integrating multiple energy sources, energy storage systems, and power electronic converters. Emphasizing the region's substantial solar irradiation and wind potentials, the primary focus lies on Photovoltaic (PV) and Wind Turbine (WT) systems. Additionally, a Fuel Cell (FC) serves as a secondary power source to ensure energy continuity in critical scenarios. To effectively manage this complex system, an Intelligent Energy Management System (EMS) employing Fuzzy Logic Control (FLC) has been proposed. This FLC regulates the FC system's current reference based on the power discrepancy between the generation and demand sides while considering the battery's State of Charge (SOC). Utilizing the Matlab/Simulink environment, the results demonstrate the FLC's efficiency in managing the entire system, prolonging battery lifespan, and minimizing hydrogen (H2) consumption from the FC source.

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Assessing the Efficacy of Improved Learning in Hourly Global Irradiance Prediction

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computers, Materials & Continua 2023年第11期77卷 2579-2594页

作者： Abdennasser Dahmani Yamina Ammi Nadjem Bailek Alban Kuriqi Nadhir Al-Ansari Salah Hanini Ilhami Colak Laith Abualigah El-Sayed M.El-kenawy Department of Mechanical Engineering Faculty of Science and TechnologyGIDD Industrial Engineering and Sustainable Development LaboratoryUniversity of RelizaneBourmadiaRelizane48000Algeria Laboratory of Biomaterials and Transport Phenomena(LBMPT) University of MedeaUrban PoleMedea26000Algeria Energies and Materials Research Laboratory Faculty of Sciences and TechnologyUniversity of TamanghassetTamanrasset10034Algeria Sustainable Development and Computer Science Laboratory Faculty of Sciences and TechnologyAhmed Draia University of AdrarAdrarAlgeria CERIS Instituto Superior TécnicoUniversidade de LisboaLisbon1049-001Portugal Civil Engineering Department University for Business and TechnologyPristina10000Kosovo Department of Civil Environmental and Natural Resources EngineeringLulea University of TechnologyLulea97187Sweden Engineering and Architecture Faculty Nisantasi UniversityIstanbulTurkey Computer Science Department Prince Hussein Bin Abdullah Faculty for Information TechnologyAl al-Bayt UniversityMafraq25113Jordan Hourani Center for Applied Scientific Research Al-Ahliyya Amman UniversityAmman19328Jordan MEU Research Unit Middle East UniversityAmman11831Jordan Applied Science Research Center Applied Science Private UniversityAmman11931Jordan School of Computer Sciences Universiti Sains MalaysiaPulau Pinang11800Malaysia Department of Computing and Information Systems School of Engineering and TechnologySunway University MalaysiaPetaling Jaya27500Malaysia Faculty of Artificial Intelligence Delta University for Science and TechnologyMansoura35712Egypt

Increasing global energy consumption has become an urgent problem as natural energy sources such as oil,gas,and uranium are rapidly running *** into renewable energy sources such as solar energy is being pursued to counter *** energy is one of the most promising renewable energy sources,as it has the potential to meet the world’s energy needs *** study aims to develop and evaluate artificial intelligence(AI)models for predicting hourly global *** hyperparameters were optimized using the Broyden-FletcherGoldfarb-Shanno(BFGS)quasi-Newton training algorithm and STATISTICA *** from two stations in Algeria with different climatic zones were used to develop the *** error measurements were used to determine the accuracy of the prediction models,including the correlation coefficient,the mean absolute error,and the root mean square error(RMSE).The optimal support vector machine(SVM)model showed exceptional efficiency during the training phase,with a high correlation coefficient(R=0.99)and a low mean absolute error(MAE=26.5741 Wh/m^(2)),as well as an RMSE of 38.7045 Wh/m^(2) across all ***,this study highlights the importance of accurate prediction models in the renewable energy,which can contribute to better energy management and planning.

关键词： Renewable energy energy prediction global irradiation artificial intelligence BFGS quasi-Newton training algorithm

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Study of Automation and Supervision of the Boiler System in a Gas Turbine: Adrar Power Plant 2

Study of Automation and Supervision of the Boiler System in ...

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2nd International Conference on Energy Transition and Security, ICETS 2023

作者： Bouraiou, Ahmed Souddi, Hafssa Necaibia, Ammar Khelifi, Seyfallah Dahbi, Abdeldjalil Hamouda, Messaoud Lachtar, Salah Rouabhia, Abdelkrim Labed, Nasreddine Unité de Recherche en Energie Renouvelables en Milieu Saharien Urerms Centre de Développement des Energies Renouvelables Cder Adrar01000 Algeria Adrar University Algeria Ahmed Draia University Sustainable Development and Computer Science Laboratory SDCS-L Adrar Algeria

ISBN: (纸本)9798350372182

Automation and supervision play a very important role in industry today, as it is evidenced by its widespread presence in most modern industrial applications. Automation is available in a device called a programmable logic controller (PLC) that controls industrial processes. In this work, an improvement solution has been proposed based on the design of an automation and supervision system of a gas turbine boiler system in Adrar power plant using 7-300 PLC and Human-machine interface-based on WINCC Flexible. Several tasks have been added such as the alarm system in HMI to increase productivity and reduce human intervention. © 2023 IEEE.

关键词： Phase interfaces

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Remote Supervision of Ambient Temperature Using Wi-Fi ESP8266 Controller Via MIT Android Application 2

Remote Supervision of Ambient Temperature Using Wi-Fi ESP826...

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2nd International Conference on Energy Transition and Security, ICETS 2023

作者： Bouraiou, Ahmed Kouddad, Aicha Kjabbouri, Kheira Necaibia, Ammar Lachtar, Salah Hamouda, Messaoud Dahbi, Abdeldjalil Rouabhia, Abdelkrim Slimani, Abdeldjalil Unité de Recherche en Energie Renouvelables en Milieu Saharien Urerms Centre de Développement des Energies Renouvelables Cder Adrar01000 Algeria Adrar University Algeria Ahmed Draia University Sustainable Development and Computer Science Laboratory SDCS-L Adrar Algeria

ISBN: (纸本)9798350372182

Over the past decade, significant advancements in electronics, computer science, and communications have propelled the evolution of embedded systems within the Internet of Things (IoT) domain. This paper focuses on the implementation of a remote temperature monitoring system, leveraging a Wi-Fi card integrated into a smartphone Android application. The development process involves utilizing the MIT App Inventor IDE, a user-friendly visual programming interface, along with the ESP8266 microcontroller for platform development. The temperature sensing capability is achieved through the integration of the LM35 sensor. The system enables real-time temperature monitoring and data acquisition, facilitating informed decision-making and timely responses to temperature variations. Through rigorous testing and evaluation, the effectiveness, accuracy, and reliability of the system are demonstrated. The combination of cost-effectiveness, ease of use, and widespread availability makes this solution suitable for a range of applications in various environments. © 2023 IEEE.

关键词： Temperature

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