Sustainable Futures in a Changing World – Reflections from the 5th International Conference on Sustainable Futures: Environmental, Technological, Social and Economic Matters (ICSF 2024) DOI Open Access
Arnold Kiv, Сергій Олексійович Семеріков, Pavlo P. Nechypurenko

et al.

IOP Conference Series Earth and Environmental Science, Journal Year: 2024, Volume and Issue: 1415(1), P. 011001 - 011001

Published: Dec. 1, 2024

This paper presents an overview of the 5th International Conference on Sustainable Futures: Environmental, Technological, Social, and Economic Matters (ICSF 2024), held in May 2024. The conference brought together over 250 researchers, practitioners, educators from 19 countries to share cutting-edge research innovative solutions across a wide range sustainability-related disciplines. proceedings cover diverse topics, including climate change, disaster risk reduction, sustainable infrastructure, education for sustainability, environmental engineering, business practices. Key themes that emerged include integration digital technologies sustainability efforts, impacts global crises development, importance interdisciplinary approaches. showcased both theoretical advancements practical applications, with particular focus addressing United Nations Development Goals. highlights conference’s role fostering dialogue collaboration address pressing challenges shape more future.

Language: Английский

Novel optimized closed-loop fuzzy control for maximum power tracking of proton exchange membrane fuel cell DOI Creative Commons
Nirmalya Mallick, Chandan Kumar Shiva, V. Mukherjee

et al.

Results in Engineering, Journal Year: 2025, Volume and Issue: unknown, P. 104303 - 104303

Published: Feb. 1, 2025

Language: Английский

Citations

0
FOPID controller design for pneumatic control valves with ultra-low overshoot, rapid response and enhanced robustness DOI Creative Commons
Yuxin He, Aixiang Ma, Yuehui Wang

et al.

Scientific Reports, Journal Year: 2025, Volume and Issue: 15(1)

Published: Feb. 6, 2025

The performance of pneumatic control valves, characterized by speed, stability, and accuracy, is critical for industrial production energy efficiency. Traditional PID fuzzy methods face limitations in achieving high-precision due to structural constraints. This study proposes a fractional-order proportional-integral-derivative (FOPID) controller optimized incorporating novel overshoot-penalty objective function. To enhance optimization, the Hippopotamus Optimization (HO) improved with Genetic Algorithm (GA). Simulation experimental results demonstrate proposed GAHO-based FOPID achieves settling time 5.25 s an overshoot 0.88%, significantly surpassing conventional methods. These establish that as effective solution improving efficiency, safety systems applications.

Language: Английский

Citations

0
Intelligent and effective means of power utilization in induction furnace controlled melting process of foundry industries reducing CO2 emissions DOI
T. Roosefert Mohan,

R. Annie Uthra,

J. Preetha Roselyn

et al.

Electrical Engineering, Journal Year: 2025, Volume and Issue: unknown

Published: April 1, 2025

Language: Английский

Citations

0
Optimized RNN MPPT-Controlled PV-Grid-Tied EV Charging Station Using Improved Trans Quasi Z-Source Boost Converter DOI

J. Nivedita,

P. S. Manoharan

Iranian Journal of Science and Technology Transactions of Electrical Engineering, Journal Year: 2025, Volume and Issue: unknown

Published: April 23, 2025

Language: Английский

Citations

0
Power Sharing in an Autonomous Microgrid with Hybrid Energy Sources DOI

D. Anitha,

D. Suchitra,

R. Annie Uthra

et al.

Engergy systems in electrical engineering, Journal Year: 2025, Volume and Issue: unknown, P. 157 - 178

Published: Jan. 1, 2025

Language: Английский

Citations

0
Experimental validation of effective zebra optimization algorithm-based MPPT under partial shading conditions in photovoltaic systems DOI Creative Commons

Feriel Abdelmalek,

Hamza Afghoul, Fateh Krim

et al.

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

Published: Oct. 30, 2024

Language: Английский

Citations

3
A Robust Salp Swarm Algorithm for Photovoltaic Maximum Power Point Tracking Under Partial Shading Conditions DOI Creative Commons
Boyan Huang, Kai Song, Shulin Jiang

et al.

Mathematics, Journal Year: 2024, Volume and Issue: 12(24), P. 3971 - 3971

Published: Dec. 17, 2024

Currently, numerous intelligent maximum power point tracking (MPPT) algorithms are capable of tackling the global optimization challenge multi-peak photovoltaic output under partial shading conditions, yet they often face issues such as slow convergence, low precision, and substantial fluctuations. To address these challenges, this paper introduces a hybrid algorithm that integrates an improved salp swarm (SSA) with perturb observe (P&O) method. Initially, SSA is augmented dynamic spiral evolution mechanism Lévy flight strategy, expanding search space bolstering capabilities, which in turn enhances precision. Subsequently, application Gaussian operator for distribution calculations allows adaptive adjustment step sizes each iteration, quickening convergence diminishing oscillations. Finally, integration P&O facilitates meticulous small size, ensuring swift further mitigating post-convergence Both simulations experimental results indicate proposed outperforms particle (PSO) grey wolf (GWO) terms velocity, reduction iteration oscillation magnitude.

Language: Английский

Citations

3
Advanced MPPT Control Algorithms: A Comparative Analysis of Conventional and Intelligent Techniques with Challenges DOI Creative Commons

Vaishnavi Chandra Tella,

Boker Agili,

Mioa He

et al.

European Journal of Electrical Engineering and Computer Science, Journal Year: 2024, Volume and Issue: 8(4), P. 6 - 20

Published: July 17, 2024

Photovoltaic systems can be used for both off-grid and grid-connected applications. Solar use a smart technology called Maximum Power Point Tracker (MPPT) to squeeze the most power possible out of sun. MPPT works by constantly fine-tuning voltage from solar panels using special component (DC-DC converter) ensure they operate at their peak efficiency This project offers new analysis along with basic ways it responds changing conditions. It examines how different DC-DC converter designs work algorithms under various environmental factors. The emphasizes importance choosing right controller maximum production your system. compares traditional topologies commonly found in energy systems. also includes technical comparison these approaches, focusing on factors like specific design elements, quickly system tracks changes output (tracking speed), overall efficiency.

Language: Английский

Citations

2
A new MPPT mechanism based on multi-verse optimization algorithm tuned FLC for photovoltaic systems DOI Creative Commons

Boosa Venkatanarayana,

K. Mercy Rosalina

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

Published: Nov. 14, 2024

Tracking the Maximum Power Point (MPP) in solar Photovoltaic (PV) systems is a difficult task under changing environmental weather conditions. Furthermore, tracking method gets more complex irradiance conditions because of nonlinearity power voltage characteristics. The Technique (MPPT) changeable and temperature-varying presented this study. Using swarm algorithm known as Multi-Verse Optimization (MVO), technique combines Fuzzy Logic Controller (FLC). In work, MVO used to generate optimized scaling factors FLC track accurate MPP. A MATLAB/Simulink environment model PV system proposed MPPT method. simulated was assessed uniform, abruptly changing, ramp with temperature variation circumstances. results demonstrate that approach efficient MPP has quick response time when compared FLC-based conventional P&O.

Language: Английский

Citations

2
Optimization of Support Vector Machine with Biological Heuristic Algorithms for Estimation of Daily Reference Evapotranspiration Using Limited Meteorological Data in China DOI Creative Commons
H. Alex Guo,

Liance Wu,

Xianlong Wang

et al.

Agronomy, Journal Year: 2024, Volume and Issue: 14(8), P. 1780 - 1780

Published: Aug. 13, 2024

Precise estimation of daily reference crop evapotranspiration (ET0) is critical for water resource management and agricultural irrigation optimization worldwide. In China, diverse climatic zones pose challenges accurate ET0 prediction. Here, we evaluate the performance a support vector machine (SVM) its hybrid models, PSO-SVM WOA-SVM, utilizing meteorological data spanning 1960–2020. Our study aims to identify high-precision, low-input tool. The findings indicate that particularly demonstrated superior accuracy with R2 values ranging from 0.973 0.999 RMSE between 0.123 0.863 mm/d, outperforming standalone SVM model 0.955 0.989 0.168 0.982 mm/d. showed relatively lower 0.822 0.887 0.381 1.951 Notably, WOA-SVM model, 0.990 0.992 0.092 0.160 emerged as top performer, showcasing benefits whale algorithm in enhancing SVM’s predictive capabilities. also presented improved performance, especially temperate continental zone (TCZ), subtropical monsoon region (SMZ), (TMZ), when using limited input. concludes promising tool high-precision fewer parameters across different China.

Language: Английский

Citations

1