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Advancements in Photovoltaic Technologies: Innovations for Enhanced Energy Conversion and...
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Advancements in Photovoltaic Technologies: Innovations for Enhanced Energy Conversion and Efficiency

A special issue of Processes (ISSN 2227-9717). This special issue belongs to the section "Energy Systems".

Deadline for manuscript submissions: 30 November 2025 | Viewed by 1211

Special Issue Editors

Dr. Mohammed Gmal Osman Abdelfadeel

E-Mail Website
Guest Editor
Doctoral School of Energy Engineering, National University of Science and Technology Politehnica Bucharest, 010029 București, România
Interests: energy efficiency; solar power plants; solar water heating systems; organic photovoltaics (OPVs); energy management systems (EMSs); solar array optimization; distributed generation
Prof. Dr. Gheorghe Lazaroiu

E-Mail Website
Guest Editor
University MARITIMA of Constanta, 900663 Constanta, Romania
Interests: solar-based hydrogen production; solar irradiance; energy transition; solar photovoltaic modules; solar–wind hybrid systems; concentrator photovoltaics (CPVs)
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

This Special Issue entitled "Advancements in Photovoltaic Technologies: Innovations for Enhanced Energy Conversion and Efficiency" focuses on the latest breakthroughs and challenges in photovoltaic (PV) technology aimed at improving energy conversion efficiency and sustainability in solar energy systems.

With the increasing global demand for renewable energy solutions, photovoltaic technologies have gained prominence as a key player in achieving clean energy goals. This Special Issue seeks to explore recent innovations in PV materials, devices, and systems that have the potential to enhance the performance, scalability, and affordability of solar energy technologies.

We invite original research articles, reviews, and perspectives that delve into various aspects of photovoltaic technology advancements. Topics of interest include, but are not limited to, the following:

  • Development of high-efficiency solar cells, including tandem and multijunction solar cells.
  • Emerging materials for photovoltaics, such as perovskites, organic photovoltaics (OPVs), and quantum dot solar cells.
  • Advances in thin-film and flexible solar cell technologies.
  • Photovoltaic system integration with smart grids and energy storage systems.
  • Innovations in photovoltaic cell architecture and design for enhanced energy conversion.
  • Novel approaches for reducing energy losses and increasing cell stability and longevity.
  • Scaling up PV technologies for industrial and commercial applications.
  • Photovoltaic manufacturing advancements and cost reduction strategies.
  • Environmental and lifecycle assessments of next-generation photovoltaic systems.

This Special Issue aims to provide a comprehensive platform for researchers, engineers, and industry professionals to share cutting-edge developments, fostering further progress in photovoltaic technology and its role in a sustainable energy future.

Dr. Mohammed Gmal Osman Abdelfadeel
Prof. Dr. Gheorghe Lazaroiu
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Processes is an international peer-reviewed open access monthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2400 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • photovoltaic energy conversion
  • high-efficiency solar cells
  • emerging PV materials
  • thin-film photovoltaics
  • smart grid integration with PV
  • PV system advancements
  • scalable solar technologies

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Further information on MDPI's Special Issue policies can be found here.

Published Papers (2 papers)

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Research

18 pages, 1634 KiB  
Article
Research on Photovoltaic Long-Term Power Prediction Model Based on Superposition Generalization Method
by Yun Chen, Jilei Liu, Bei Liu, Shipeng Liu and Dongdong Zhang
Processes 2025, 13(5), 1263; https://doi.org/10.3390/pr13051263 - 22 Apr 2025
Viewed by 181
Abstract
The integration of renewable energy sources, specifically photovoltaic generation, into the grid at a large scale has significantly heightened the volatility and unpredictability of the power system. Consequently, this presents formidable challenges to ensuring the reliable operation of the grid. This study introduces [...] Read more.
The integration of renewable energy sources, specifically photovoltaic generation, into the grid at a large scale has significantly heightened the volatility and unpredictability of the power system. Consequently, this presents formidable challenges to ensuring the reliable operation of the grid. This study introduces a novel stacked model for photovoltaic power prediction, integrating multiple conventional data processing methods as base learners, including Group Method of Data Handling (GMDH), Least Squares Support Vector Machine (LSSVM), Radial Basis Function Neural Network (RBFNN), and Emotional Neural Network (ENN). A Backpropagation Neural Network (BPNN) serves as the meta-learner, utilizing the outputs of the base learners as input features to enhance overall prediction accuracy by mitigating individual model errors. To assess the model’s effectiveness, five evaluation metrics are employed: Bayesian Information Criterion (BIC), Percent Mean Average Relative Error (PMARE), Legates and McCabe Index (LM), Mean Absolute Deviation (MAD), and Root Mean Square Error (RMSE), ensuring long-term stability in photovoltaic power output forecasting. Additionally, the model’s effectiveness and accuracy are validated using operational data from photovoltaic power plants in a particular province of China. The results indicate that the stacked model, after training, testing, and validation on multiple performance metrics, surpasses baseline single models in performance. Full article
(This article belongs to the Special Issue Advancements in Photovoltaic Technologies: Innovations for Enhanced Energy Conversion and Efficiency)
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31 pages, 11718 KiB  
Article
Performance Evaluation of LMPO-Based MPPT Technique for Two-Stage GIPV System with LCL Under Various Meteorological Conditions
by Jaswant Singh, Surya Prakash Singh and Kripa S. Verma
Processes 2025, 13(3), 849; https://doi.org/10.3390/pr13030849 - 14 Mar 2025
Viewed by 452
Abstract
This paper presents a variable step-size efficient learning modified P&O (LMPO) MPPT algorithm and adaptive proportional–integral (API)-based control techniques for a two-stage three-phase grid-integrated photovoltaic (TS-GIPV) system using an LCL filter. The proposed novel controlled technique introduces two-stage systems under different meteorological conditions [...] Read more.
This paper presents a variable step-size efficient learning modified P&O (LMPO) MPPT algorithm and adaptive proportional–integral (API)-based control techniques for a two-stage three-phase grid-integrated photovoltaic (TS-GIPV) system using an LCL filter. The proposed novel controlled technique introduces two-stage systems under different meteorological conditions and load deviations. The two-stage system with the presented control technique includes maximum power point tracking (MPPT) techniques, intermediate DC-link voltage, and grid current synchronization with a voltage source converter (VSC), respectively. This technique is implemented to improve the extract MPP of the solar PV generator system. An innovative grid-side VSC control technique addresses DC link regulation. Furthermore, this method regulates DC link voltage with an outer voltage loop and an inner current loop controller. Distinctively, the proposed technique regulates the inner loop while avoiding the outer loop. A control mechanism uses an API controller to regulate DC link voltage, distribute power, and synchronize grid current in the face of different scenarios. The fluctuating voltage of the DC link will be kept stable through power balancing. Hence, this technique improves the system stability, dynamic response, and component longevity by effectively reducing oscillations in the fluctuating DC link voltage at twice the grid frequency. The total harmonic distortion (THD%) of the grid currents of the PV power generated in the grid is maintained within the recommended limits. The proposed technique is simulated and verified through MATLAB/Simulink 2019b under different scenarios. Full article
(This article belongs to the Special Issue Advancements in Photovoltaic Technologies: Innovations for Enhanced Energy Conversion and Efficiency)
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