Energy optimization of the smart residential electrical grid considering demand management approaches DOI
Jianrui Zhang,

Jingqun Wu,

Linjun Fu

et al.

Energy, Journal Year: 2024, Volume and Issue: 300, P. 131641 - 131641

Published: May 13, 2024

Language: Английский

Energy control and design optimization of a hybrid solar-hydrogen energy storage system using various solar panel technologies DOI

Xiao Zhou,

Na Yu,

Zhengnan Wu

et al.

Journal of Energy Storage, Journal Year: 2024, Volume and Issue: 94, P. 112389 - 112389

Published: June 13, 2024

Language: Английский

Citations

37
Sustainable off-grid residential heating and desalination: Integration of biomass boiler and solar energy with environmental impact analysis DOI
Jing Zhu, Tirumala Uday Kumar Nutakki, Pradeep Kumar Singh

et al.

Journal of Building Engineering, Journal Year: 2024, Volume and Issue: 87, P. 109035 - 109035

Published: March 11, 2024

Language: Английский

Citations

30
Enhancing grid-connected photovoltaic system performance with novel hybrid MPPT technique in variable atmospheric conditions DOI Creative Commons
Layachi Zaghba,

Abdelhalim Borni,

Messaouda Khennane Benbitour

et al.

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

Published: April 8, 2024

Abstract This paper proposes an innovative approach to improve the performance of grid-connected photovoltaic (PV) systems operating in environments with variable atmospheric conditions. The dynamic nature parameters poses challenges for traditional control methods, leading reduced PV system efficiency and reliability. To address this issue, we introduce a novel integration fuzzy logic sliding mode methodologies. Fuzzy enables effectively handle imprecise uncertain data, allowing decision-making based on qualitative inputs expert knowledge. Sliding control, known its robustness against disturbances uncertainties, ensures stability responsiveness under varying Through these methodologies, our proposed offers comprehensive solution complexities posed by real-world dynamics. We anticipate applications across various geographical locations climates. By harnessing synergistic benefits promises significantly enhance reliability presence On grid side, both PSO (Particle Swarm Optimization) GA (Genetic Algorithm) algorithms were employed tune current controller PI (Proportional-Integral) (inverter control). Simulation results, conducted using MATLAB Simulink, demonstrate effectiveness hybrid MPPT technique optimizing system. exhibits superior tracking efficiency, achieving convergence time 0.06 s 99.86%, less oscillation than classical methods. comparison other techniques highlights advantages approach, including higher faster response times. simulation outcomes are analyzed strategies sides (the array side). Both offer effective methods tuning controller. According considered IEEE standards low-voltage networks, total harmonic distortion values (THD) obtained considerably high (8.33% 10.63%, algorithms, respectively). Comparative analyses terms stability, rapid changes.

Language: Английский

Citations

22
Modeling and optimization of hybrid geothermal-solar energy plant using coupled artificial neural network and genetic algorithm DOI
Amirhamzeh Farajollahi, Mohammad Baharvand, H. Rostamnejad Takleh

et al.

Process Safety and Environmental Protection, Journal Year: 2024, Volume and Issue: 186, P. 348 - 360

Published: April 2, 2024

Language: Английский

Citations

17
Optimization of off-grid hybrid renewable energy systems for cost-effective and reliable power supply in Gaita Selassie Ethiopia DOI Creative Commons

Elsabet Ferede Agajie,

Takele Ferede Agajie, Isaac Amoussou

et al.

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

Published: May 13, 2024

Abstract This paper explores scenarios for powering rural areas in Gaita Selassie with renewable energy plants, aiming to reduce system costs by optimizing component numbers meet demands. Various scenarios, such as combining solar photovoltaic (PV) pumped hydro-energy storage (PHES), utilizing wind PHES, and integrating a hybrid of PV, wind, have been evaluated based on diverse criteria, encompassing financial aspects reliability. To achieve the results, meta-heuristics Multiobjective Gray wolf optimization algorithm (MOGWO) Grasshopper (MOGOA) were applied using MATLAB software. Moreover, optimal sizing has investigated real-time assessment data meteorological from Sillasie, Ethiopia. Metaheuristic techniques employed pinpoint most favorable loss power supply probability (LPSP) least cost (COE) total life cycle (TLCC) system, all while meeting operational requirements various scenarios. The Multi-Objective Grey Wolf Optimization technique outperformed Algorithm problem, suggested results. Furthermore, MOGWO findings, PV-Wind-PHES demonstrated lowest COE (0.126€/kWh) TLCC (€6,897,300), along satisfaction village's demand LPSP value. In PV-Wind-PHSS scenario, are 38%, 18%, 2%, 1.5% lower than those Wind-PHS PV-PHSS at 0%, according Overall, this research contributes valuable insights into design implementation sustainable solutions remote communities, paving way enhanced access environmental sustainability.

Language: Английский

Citations

16
Advanced efficient energy management strategy based on state machine control for multi-sources PV-PEMFC-batteries system DOI Creative Commons
Badreddine Kanouni, Abd Essalam Badoud, Saad Mekhilef

et al.

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

Published: April 5, 2024

Language: Английский

Citations

13
Effect of loading Fe3O4 nanoparticles on electrical performance of solar panel utilizing numerical modeling DOI Creative Commons
Adel Almarashi,

Debo Mohammed Alrahal,

Hussein A.Z. AL-bonsrulah

et al.

Case Studies in Thermal Engineering, Journal Year: 2024, Volume and Issue: 55, P. 104165 - 104165

Published: Feb. 22, 2024

The present study investigates the enhancement of PVT system efficiency through application magnetic force. Dust deposition affects glass layer PV, altering magnitude heat sources. addition a thermoelectric layer, attached to silicon using EVA, allows for increased electrical output. A rhombus-shaped duct is filled with homogeneous mixture H2O and Fe3O4 nanomaterial serving as ferrofluid. dust over results in decline useful by approximately 10.11%, leading 25.36% productivity. imposition MHD increases thermal performance 8.9%, can be enhanced 1.8%. dispersion nanoparticles contributes cooler this positive impact being three times greater absence MHD. Additionally, an increase inlet velocity 8.22% improvement performance.

Language: Английский

Citations

12
Demand side management optimization and energy labeling of multi-purpose buildings DOI
Amir Hossein Heydari, Ramin Haghighi Khoshkhoo, Rahim Zahedi

et al.

Journal of Building Engineering, Journal Year: 2024, Volume and Issue: 88, P. 109143 - 109143

Published: March 28, 2024

Language: Английский

Citations

11
Optimal design of solar/wind/energy storage system-powered RO desalination unit: Single and multi-objective optimization DOI

Kamyar Ghanbari,

Akbar Maleki,

Dariush Rezaei Ochbelagh

et al.

Energy Conversion and Management, Journal Year: 2024, Volume and Issue: 315, P. 118768 - 118768

Published: July 5, 2024

Language: Английский

Citations

9
Diffusion of “dual carbon” policies among Chinese cities: A network evolution analysis DOI
Jiaming Wang, Ling Jia, Yiyi Wang

et al.

Energy, Journal Year: 2024, Volume and Issue: 300, P. 131514 - 131514

Published: May 7, 2024

Language: Английский

Citations

8