Harnessing a Better Future: Exploring AI and ML Applications in Renewable Energy DOI Creative Commons

Tien Han Nguyen,

Prabhu Paramasivam,

Van Huong Dong

et al.

JOIV International Journal on Informatics Visualization, Journal Year: 2024, Volume and Issue: 8(1), P. 55 - 55

Published: March 16, 2024

Integrating machine learning (ML) and artificial intelligence (AI) with renewable energy sources, including biomass, biofuels, engines, solar power, can revolutionize the industry. Biomass biofuels have benefited significantly from implementing AI ML algorithms that optimize feedstock, enhance resource management, facilitate biofuel production. By applying insight derived data analysis, stakeholders improve entire supply chain - biomass conversion, fuel synthesis, agricultural growth, harvesting to mitigate environmental impacts accelerate transition a low-carbon economy. Furthermore, in combustion systems engines has yielded substantial improvements efficiency, emissions reduction, overall performance. Enhancing engine design control techniques produces cleaner, more efficient minimal impact. This contributes sustainability of power generation transportation. are employed analyze vast quantities photovoltaic systems' design, operation, maintenance. The ultimate goal is increase output system efficiency. Collaboration among academia, industry, policymakers imperative expedite sustainable future harness potential energy. these technologies, it possible establish ecosystem, which would benefit generations.

Language: Английский

Enhanced Supercapacitive Performance of FeAl2O4 Nanoparticles with Neodymium (Nd) Doping by Sonication Method DOI

Mukhtiar Hussain,

Meznah M. Alanazi, Shaimaa A. M. Abdelmohsen

et al.

JOM, Journal Year: 2024, Volume and Issue: 76(6), P. 3185 - 3194

Published: April 22, 2024

Language: Английский

Citations

41
Enhancement of Capacitive Properties of Ce-Doped MnAl2O4 Electrode for High Performance Energy Storage Applications DOI

Mukhtiar Hussain,

Lamia Abu El Maati, Muneerah Alomar

et al.

JOM, Journal Year: 2024, Volume and Issue: 76(8), P. 4587 - 4597

Published: May 28, 2024

Language: Английский

Citations

35
Fabrication of V2O5@g-C3N4 nanocomposite by hydrothermal route for use as an improved electrochemical property in supercapacitor applications DOI

Tehreem Zahra,

Imad Barsoum, F. F. Alharbi

et al.

Journal of Energy Storage, Journal Year: 2024, Volume and Issue: 87, P. 111470 - 111470

Published: April 17, 2024

Language: Английский

Citations

34
A multilayer perceptron neural network approach for optimizing solar irradiance forecasting in Central Africa with meteorological insights DOI Creative Commons
Inoussah Moungnutou Mfetoum, Simon Koumi Ngoh, Reagan Jean Jacques Molu

et al.

Scientific Reports, Journal Year: 2024, Volume and Issue: 14(1)

Published: Feb. 12, 2024

Abstract Promoting renewable energy sources, particularly in the solar industry, has potential to address shortfall Central Africa. Nevertheless, a difficulty occurs due erratic characteristics of irradiance data, which is influenced by climatic fluctuations and challenging regulate. The current investigation focuses on predicting an inclined surface, taking into consideration impact variables such as temperature, wind speed, humidity, air pressure. used methodology for this objective Artificial Neural Network (ANN), inquiry carried out metropolitan region Douala. data collection device research meteorological station located at IUT This was built component Douala sustainable city effort, partnership with CUD IRD. Data collected 30-min intervals duration around 2 years, namely from January 17, 2019, October 30, 2020. aforementioned been saved database that underwent pre-processing Excel later employed MATLAB creation artificial neural network model. 80% available utilized training network, 15% allotted validation, remaining 5% testing. Different combinations input were evaluated ascertain their individual degrees accuracy. logistic Sigmoid function, 50 hidden layer neurons, yielded correlation coefficient 98.883% between observed estimated sun irradiation. function suggested evaluating intensities radiation place being researched other sites have similar conditions.

Language: Английский

Citations

28
One step hydrothermal preparation of NiFe2O4@g-CN nanosheets for low-cost electrode material storage devices DOI
Albandari W. Alrowaily, B.M. Alotaibi, Mahmood Ali

et al.

Journal of Materials Science Materials in Electronics, Journal Year: 2024, Volume and Issue: 35(8)

Published: March 1, 2024

Language: Английский

Citations

25
A Density Functional Theory Exploration of Cs2B′B″I6 (B′B″: BeCa, BeSr, GeCd, GeBe, GeMg) Halide Double Perovskites for Optimal Solar Cell and Renewable Energy Applications DOI
M. Caid, D. Rached, H. Rached

et al.

physica status solidi (b), Journal Year: 2024, Volume and Issue: 261(6)

Published: April 15, 2024

A comprehensive investigation into the structural, elastic, optoelectronic, and thermoelectric properties of Cs 2 B′B″I 6 halide double perovskites (DPs), where B′B″ represents various combinations, including BeCa, BeSr, GeCd, GeBe, GeMg, is conducted. Using full‐potential linearized augmented plane wave approach within density functional theory framework, this analysis confirms materials’ structural dynamic stabilities through negative formation energies adherence to elastic constant stability criteria. The generalized gradient approximation modified Becke–Johnson (mBJ) potential for electronic structure calculations are utilized. Notably, DPs with as BeCa or BeSr exhibit direct bandgaps (Γ–Γ), while those GeMg display indirect (X–L). These findings offer valuable insights use these materials in photovoltaic optoelectronic devices. Furthermore, exploration properties, covering electrical conductivity, Seebeck coefficient, thermal figure merit at temperatures 300, 600, 900 K, suggests that DPs, regardless specific composition (BeCa, GeMg), holds promise applications

Language: Английский

Citations

25
Impact of Cr doping on the structural and optoelectronic properties of a CsPbIBr2 perovskite solar cell DOI

M.I. Khan,

Ali Mujtaba, Saddam Hussain

et al.

New Journal of Chemistry, Journal Year: 2024, Volume and Issue: 48(16), P. 7205 - 7212

Published: Jan. 1, 2024

The Cr–CsPbIBr 2 device showed enhanced performance, with increased grain size, reduced energy band gap, and elevated efficiency from 9.64% to 12.06%.

Language: Английский

Citations

24
Exploring Silicon-Based Ca2TiSiO6 Ordered Double Perovskite Oxides: a Comprehensive DFT Investigation of Structural, Dynamical, Mechanical Stability, and Optoelectronic Properties DOI
Mudasser Husain, Nasir Rahman, Ahmed Azzouz‐Rached

et al.

Silicon, Journal Year: 2024, Volume and Issue: 16(7), P. 2781 - 2790

Published: Feb. 6, 2024

Language: Английский

Citations

20
The structural, optical and photovoltaic properties of Zn-doped MAPbI2Br perovskite solar cells DOI

M.I. Khan,

Saddam Hussain, Badriah S. Almutairi

et al.

Physical Chemistry Chemical Physics, Journal Year: 2024, Volume and Issue: 26(15), P. 12210 - 12218

Published: Jan. 1, 2024

The spin coating method was used to deposit MAPbI

Language: Английский

Citations

19
An extensive study on charge transport layers to design and optimization of high-efficiency lead-free Cs2PtI6-based double-perovskite solar cells: A numerical simulation approach DOI Creative Commons
M. Khalid Hossain, Apon Kumar Datta, Osamah Alsalman

et al.

Results in Physics, Journal Year: 2024, Volume and Issue: 61, P. 107751 - 107751

Published: May 11, 2024

Perovskite materials are getting attention day by due to their numerous optoelectronic properties. Lead perovskites well-known for various applications in photovoltaic devices non-toxicity which has no impacts on both the environment and health. Cs2PtI6, a lead-free halide perovskite, is renowned its broad-spectrum light absorption remarkably high coefficient. Its stability under ambient conditions surpasses that of other perovskites, rendering it exceptionally appealing The device configuration with FTO/ETL/Cs2PtI6/HTL/Au used this study where 4 different ETLs 10 HTLs investigate best configuration. impact parameters like thickness, acceptor density, donor defect density optimized attain efficient SCAPS-1D simulator perform numerical analysis intensity AM 1.5 spectrum (100 mW/cm2). After optimization parameters, configured FTO/SnS2/Cs2PtI6/MoTe2/Au shows performance among four PCE 32.98 %, VOC 1.11 V, JSC 33.19 mA/cm2, FF 88.89 %. This suggested Cs2PtI6-based perovskite solar cells demonstrate superior compared lead perovskite-based cells, highlighting Cs2PtI6 as promising alternative while mitigating toxicity concerns.

Language: Английский

Citations

18