Chemical Engineering and Processing - Process Intensification, Год журнала: 2025, Номер unknown, С. 110163 - 110163
Опубликована: Янв. 1, 2025
Язык: Английский
Desalination, Год журнала: 2024, Номер 585, С. 117744 - 117744
Опубликована: Май 18, 2024
Язык: Английский
Процитировано
23
Solar Energy, Год журнала: 2024, Номер 269, С. 112322 - 112322
Опубликована: Янв. 19, 2024
Язык: Английский
Процитировано
22
Energy Strategy Reviews, Год журнала: 2024, Номер 54, С. 101446 - 101446
Опубликована: Июнь 4, 2024
In the innovative domain of sustainable and renewable energy, artificial intelligence incorporation has appeared as a critical stimulant for improving productivity, cutting costs, addressing complex difficulties. However, all reported advancement over recent years, their experimental implementations, challenges associated have not been covered by single source. Hence, this review aims to give data source get recent, advanced detailed outlook on applications in energy technologies systems along with examples implementation. More than 150 research reports were retrieved from different bases keywords selection criteria maintain relevance. This specifically explored diverse approaches wide range sources innovations spanning solar power, photovoltaics, microgrid integration, storage power management, wind, geothermal comprehensively. The current technological advances, outcomes, case studies implications are discussed, potential possible solutions. expected advancements trends near future also discussed which can gateway researchers, investigators engineers look resolve already associated.
Язык: Английский
Процитировано
22
Energies, Год журнала: 2022, Номер 16(1), С. 347 - 347
Опубликована: Дек. 28, 2022
The digital transformation of the energy sector toward Smart Grid paradigm, intelligent management, and distributed integration poses new requirements for computer science. Issues related to automation power grid multidimensional analysis data generated in Grids, optimization decision-making processes require urgent solutions. article aims analyze use selected artificial intelligence (AI) algorithms support abovementioned issues. In particular, machine learning methods, metaheuristic algorithms, fuzzy inference systems were analyzed. Examples analyzed tested crucial domains sector. study cybersecurity, saving, loss minimization, fault diagnosis, renewable sources. For each domain sector, specific engineering problems defined, which was Research results indicate that AI can improve generation, distribution, storage, consumption, trading. Based on conducted analyses, we defined open research challenges practical application critical
Язык: Английский
Процитировано
46
Case Studies in Thermal Engineering, Год журнала: 2023, Номер 47, С. 103055 - 103055
Опубликована: Май 20, 2023
Solar stills (SS) are simple eco-friendly desalination devices that exploit solar energy to obtain freshwater from seawater. In this study, a hybrid artificial intelligence model is proposed predict the thermal behavior of two designs SSs. Two SSs with basin and absorber plate made aluminum for first SS (ALSS)and polycarbonate second (PCSS) were established tested. Both have modified an air cavity. The was composed optimized Artificial Neural Network (ANN) by Golden Jackal Optimizer (GJO). To prove capability performance, it compared conventional ANN as well other models Genetic Algorithm (GA) or Particle Swarm (PSO). results showed ANN-GJO had better accuracy than ANN, ANN-GA, ANN-PSO overall heat transfer coefficient, efficiency, exergy distillate output. Moreover, ALSS performance PCSS regarding water productivity, efficiency. average efficiency 2.30%, 42.40%, 3.44%, 48.80%, respectively. maximum output 3.40 l/m2/day 3.80 l/m2/day,
Язык: Английский
Процитировано
41
Case Studies in Thermal Engineering, Год журнала: 2023, Номер 45, С. 102997 - 102997
Опубликована: Апрель 20, 2023
At present, poly-generation sustainable systems are highly promising pathways that could produce several beneficial energy outputs, such as electricity, heat, and freshwater, have the potential to fulfill financial competitiveness higher efficiencies. Considering great advantages of solar dish/Stirling cycle, this study introduces comprehensive theoretical modeling performance analysis a dish/Stirling-powered single effect distillation system (SDSPSEDS) for combined freshwater tri-production. A detailed mathematical model executed in MATLAB software based on balance opt-geometric approaches was established simulate SDSPSEDS operation dynamically. In order analyze its under real weather conditions Tabuk, KSA, four seasonal scenarios. The energetic hybrid is comprehensively evaluated terms net electric power, solar-to-electricity conversion efficiency, Stirling engine rejected distilled productivity, overall co-generation efficiency system. simulation results show daily electrical produced by 234.7, 194.6, 159.8, 190.0 kWh/day. contrast, production obtained 787.4, 657.3, 545.0, 650.0 kg/day June, September, January, March, respectively. Moreover, it also found increased 62.60%, 53.50%, 47.40%, 52.96% compared only average efficiencies 20.92%, 17.82%, 15.50%, 17.60% attained; same examined days, respectively when utilizing standalone power Thus, findings proved an efficient water rural areas with no piping network or grid.
Язык: Английский
Процитировано
38
Journal of Imaging, Год журнала: 2023, Номер 9(2), С. 53 - 53
Опубликована: Фев. 20, 2023
Early and accurate tomato disease detection using easily available leaf photos is essential for farmers stakeholders as it help reduce yield loss due to possible epidemics. This paper aims visually identify nine different infectious diseases (bacterial spot, early blight, Septoria late mold, two-spotted spider mite, mosaic virus, target yellow curl virus) in leaves addition healthy leaves. We implemented EfficientNetB5 with a (TLD) dataset without any segmentation, the model achieved an average training accuracy of 99.84% ± 0.10%, validation 98.28% 0.20%, test 99.07% 0.38% over 10 cross folds.The use gradient-weighted class activation mapping (GradCAM) local interpretable model-agnostic explanations are proposed provide interpretability, which predictive performance, helpful building trust, required integration into agricultural practice.
Язык: Английский
Процитировано
37
Expert Systems with Applications, Год журнала: 2023, Номер 240, С. 122460 - 122460
Опубликована: Ноя. 9, 2023
Язык: Английский
Процитировано
29
Mathematics, Год журнала: 2023, Номер 11(10), С. 2401 - 2401
Опубликована: Май 22, 2023
The present research examines the steady, one-dimensional thermal distribution and heat transfer of a wavy fin. This analysis considers convective effects as well temperature-dependent conductivity. Furthermore, novel implementation neural network with backpropagated Levenberg–Marquardt algorithm (NN-BLMA)-based machine learning intelligent strategies is provided to interpret non-linear ordinary differential equation (ODE) study problem converted into its non-dimensional form using similarity transformation technique. dimensionless obtained then numerically explored via Runge–Kutta–Fehlberg scheme. A data set for varying pertinent parameters generated, an artificial model designed estimate behavior effectiveness proposed NN-BLMA subsequently endorsed by analyses regression model, mean square error, histograms. findings comprehensive computational parametric studies illustrate that presented technique, effective convergent stochastic numerical solver employed fin’s temperature dispersion optimizes conductivity parameter rises. Heat rate higher in fin compared rectangular
Язык: Английский
Процитировано
28
Solar Energy, Год журнала: 2023, Номер 259, С. 246 - 256
Опубликована: Май 23, 2023
Язык: Английский
Процитировано
27