Thermodynamic and thermoeconomic analysis of solar derived ORC with storage system utilizing PCM

Case Studies in Thermal Engineering, Год журнала: 2025, Номер unknown, С. 105942 - 105942

Опубликована: Фев. 1, 2025

Язык: Английский

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Buffering cash flows for H₂ flows: Does financial stability benefit to hydrogen energy transition, storage, and carbon risks?

International Journal of Hydrogen Energy, Год журнала: 2025, Номер 120, С. 486 - 496

Опубликована: Март 29, 2025

Язык: Английский

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A Comprehensive Review of Machine Learning Models for Optimizing Wind Power Processes

Applied Sciences, Год журнала: 2025, Номер 15(7), С. 3758 - 3758

Опубликована: Март 29, 2025

Wind energy represents a solution for reducing environmental impact. For this reason, research studies the elements that propose optimizing wind production through intelligent solutions. Although there are address optimization of turbine performance or other indirectly related factors in production, remains topic insufficiently explored and synthesized literature. This how machine learning (ML) techniques can be applied to optimize production. aims study systematic applications ML identify analyze key stages optimized Through research, case highlighted by which methods proposed directly target issue power process turbines. From total 1049 articles obtained from Web Science database, most studied models context artificial neural networks, with 478 papers identified. Additionally, literature identifies 224 have random forest 114 incorporated gradient boosting about power. Among these, 60 specifically addressed aspect allows identification gaps The notes previous focused on forecasting, fault detection, efficiency. existing addresses indirect component performance. Thus, paper current discusses algorithms processes, future directions increasing efficiency turbines integrated predictive methods.

Язык: Английский

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Optimal Sizing and Techno-economic Analysis of Combined Solar Wind Power System, Fuel Cell and Tidal Turbines Using Meta-heuristic Algorithms: A Case Study of Lavan Island

International Journal of Computational Intelligence Systems, Год журнала: 2025, Номер 18(1)

Опубликована: Янв. 27, 2025

Язык: Английский

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Hybrid BiGRU‐CNN Model for Load Forecasting in Smart Grids with High Renewable Energy Integration

IET Generation Transmission & Distribution, Год журнала: 2025, Номер 19(1)

Опубликована: Янв. 1, 2025

ABSTRACT Integrating renewable energy sources into smart grids increases supply and demand management because are intermittent variable. To overcome this type of challenge, short‐term load forecasting (STLF) is essential for managing energy, demand‐side flexibility, the stability with integration. This paper presents a new model called BiGRU‐CNN to improve operation STLF in grids. The integrates bidirectional gated recurrent units (BiGRUs) temporal dependencies convolutional neural networks (CNNs) extract spatial patterns from consumption data. newly developed BiGRU captures past future contexts through processing, CNN component extracts high‐level features enhance accuracy prediction. compared two other hybrid models, CNN‐LSTM CNN‐GRU, on real‐world data American electric power (AEP) ISONE datasets. Simulation results show that proposed outperforms single‐step yielding root mean square error (RMSE) 121.43 123.57 (ISONE), absolute (MAE) 90.95 62.97 percentage (MAPE) 0.61% 0.41% (ISONE). For multi‐step forecasting, yields RMSE 680.02 581.12 MAE 481.12 411.20 MAPE 3.27% 2.91% can generate accurate reliable STLF, which useful massive energy‐integrated

Язык: Английский

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An Enhanced Second-Order Terminal Sliding Mode Control Based on the Super-Twisting Algorithm Applied to a Five-Phase Permanent Magnet Synchronous Generator for a Grid-Connected Wind Energy Conversion System

Energies, Год журнала: 2025, Номер 18(2), С. 355 - 355

Опубликована: Янв. 15, 2025

This paper presents the application of a proposed hybrid control strategy that is designed to enhance performance and robustness grid-connected wind energy conversion system (WECS) using Five-Phase Permanent Magnet Synchronous Generator (FP-PMSG). The approach combines second-order terminal sliding mode technique (SO-STA) with super-twisting algorithm (STA), main goal benefitting from both their advantages while addressing limitations. Indeed, sole SO-STA ensures rapid convergence robust performances in nonlinear systems, but it leads chattering reduces whole system’s efficiency. Therefore, by incorporating STA, obtained can mitigate this issue ensuring smoother actions superior dynamic response. improves adaptability fluctuations enhances against external disturbances uncertainties, leading higher reliability efficiency system. Furthermore, allows optimizing power extraction boosting WECS’s It worth clarifying that, besides control, controller used for grid side converter (GSC) DC link voltage ensure stable transfer grid. simulation results demonstrate effectiveness improving stability, robustness, studied WECS under conditions, creating promising solution renewable systems operating severe conditions.

Язык: Английский

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Artificial neural network controlled DSTATCOM for mitigating power quality concerns in solar PV and wind system

Scientific Reports, Год журнала: 2025, Номер 15(1)

Опубликована: Фев. 11, 2025

The escalating global energy requirement, driven by population expansion and industrial development, has been met through traditional resources till now, many of which are now impending depletion. Renewable sources, specifically photovoltaic (PV) wind power, have emerged as viable sustainable options to fossil fuels. These systems praised for their reliability, scalability, cost-effectiveness, making them integral modern frameworks. However, the integration PV power electronics-based loads introduces harmonic distortions, posing critical challenges quality system stability. Addressing these concerns is imperative realizing full potential renewable in development. To meet concerns, this research proposes an ANN based DSTATCOM mitigate PV-wind systems. Traditional control appraches like "synchronous reference frame instantaneous reactive power" often create parameter valuation eficacy under uneven load scenarios. model designed using XANN approach mitigates harmonics perfectly showcase better performance even while operating non-linear loading simulated MATLAB results validated realtime setup. outcomes reflects satisfactory interms enhancing solar-wind

Язык: Английский

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Regret-aware optimization of hydrogen-assisted congestion control in a renewable-dominated reconfigurable distribution network

Renewable Energy, Год журнала: 2025, Номер unknown, С. 123084 - 123084

Опубликована: Апрель 1, 2025

Язык: Английский

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A hybrid wind speed forecasting model with rolling mapping decomposition and temporal convolutional networks

Energy, Год журнала: 2025, Номер 324, С. 135673 - 135673

Опубликована: Апрель 23, 2025

Язык: Английский

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Waste Heat Harness in a Thermal Energy System using TEGs, and SCO2 Brayton Cycle Driven by Renewable Sources for Electricity and Liquid Hydrogen Production: Thermo-Economic Optimization using ANNs

Case Studies in Thermal Engineering, Год журнала: 2025, Номер unknown, С. 106369 - 106369

Опубликована: Май 1, 2025

Язык: Английский

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