Journal of Applied Energies

Design of a Web Interface for Photovoltaic Installations Parameter

Mon, 30 Jun 2025 00:00:00 +0100

In this paper, a connected embedded system is designed and implemented to remotely receive data from photovoltaic installations. The goal is to provide an effective solution for displaying weather and electrical parameters affecting PV panels in real time through a web interface, using Internet of Things (IoT) technology. This approach aims to evaluate the performance of photovoltaic solar panels and protect them against fluctuating environmental conditions.

The proposed technique enables significant optimization in terms of fast response and accuracy. It can be used to monitor PV data in real time. The results collected from the experimental setup confirm the effectiveness of the discussed prototype in renewable energy conversion systems.

Numerical Study on Optimizing Combustion Dynamics in Hydrogen Internal Combustion Engines: A Comprehensive Study on Air-Fuel Ratios and Manifold Air Pressures

Hassina Ghodbane, Fouad Khaldi, Derradji Bahloul — Mon, 30 Jun 2025 00:00:00 +0100

The transition to sustainable energy solutions is essential for mitigating global climate challenges. This study provides a detailed examination of the combustion dynamics in hydrogen internal combustion engines (H2ICEs), an important technology for achieving zero-carbon mobility. Through advanced numerical simulations in OpenModelica, the study investigates the influence of air-fuel ratios ( ) and manifold air pressures ( ) on combustion characteristics, including mass fraction burned, indicated mean effective pressure ( ), and combustion progression. The analysis spans equivalence ratios from 1.3 to 2.7 and manifold pressures ranging from 85 to 135 kPa. The results demonstrate how variations in air-fuel ratio and manifold pressure critically affect engine performance, thermal efficiency, and potential emissions. The study provides valuable insights into hydrogen combustion behavior, highlighting the need for precise mixture control to optimize engine efficiency and emissions. These findings contribute significantly to advancing hydrogen-powered propulsion systems, offering practical guidance for the development of clean energy technologies aimed at sustainable transportation.

Super-twisting control for improved synchronization of DFIG with grid.

Younes DRIS — Mon, 30 Jun 2025 00:00:00 +0100

This paper presents a voltage-oriented control (VOC) technique that use super twisting control (STC) to synchronize a doubly fed induction generator (DFIG) with the grid. The proposed scheme focuses on regulating the DFIG stator voltage by controlling the rotor currents using STC. Simulations were conducted using the SimPower System toolbox, followed by robustness testing and verification of voltage quality through fast Fourier transform (FFT) analysis. The smooth coupling of the DFIG with the grid and the resulting total harmonic distortion of the stator voltage (THD = 2.3%) demonstrate the effectiveness of the suggested control method. Even after changing the system parameters, the THD remains below 5% (THD = 3.43%), which proves the robustness of the control strategy.

Enhancing Performance solar energy with Fuzzy Logic-Based MPPT for DC Microgrid

Mohammed Abdulelah Albasheri — Mon, 30 Jun 2025 00:00:00 +0100

The rising demand for sustainable energy has elevated the importance of photovoltaic (PV) systems in renewable energy applications due to their environmental benefits and scalability. However, the efficiency of PV systems is significantly influenced by external factors such as irradiance and temperature, necessitating effective Maximum Power Point Tracking (MPPT) techniques. This study investigates the implementation and performance of fuzzy logic-based MPPT in a DC microgrid comprising PV systems and battery storage, comparing it with traditional MPPT Perturb and Observe (P&O). Simulation results reveal that fuzzy logic-based MPPT offers superior adaptability, faster convergence to the Maximum Power Point (MPP), and reduced steady-state oscillations under dynamic conditions. Key performance metrics—including PV power output, power balance, battery state of charge (SOC), and DC link voltage stability—demonstrate the effectiveness of fuzzy logic-based MPPT in enhancing energy efficiency, system reliability, and battery longevity. This research underscores the pivotal role of fuzzy logic in overcoming traditional MPPT limitations, particularly in scenarios with rapid environmental changes, and highlights its potential for advancing renewable energy systems integrated with battery storage in DC microgrids.