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Combined Application of Solar Power Generation and Energy Storage Technology

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Dear Colleagues,

During the last decade, the combined application of solar power generation and energy storage technology has emerged as a critical area of research and development in the field of renewable energy. This Special Issue in Energies aims to explore the latest advancements, challenges, and opportunities in this interdisciplinary field.

The primary objective of this Special Issue is to provide a platform for researchers and engineers to exchange ideas, share insights, and present their innovative approaches and solutions for integrating solar power generation with energy storage technologies.

Topics of interest for publication include, but are not limited to, the following:

Control of hybrid solar–energy storage systems;
Power converters of hybrid solar–energy storage systems;
Novel energy storage materials and devices for solar applications;
Optimization of hybrid solar–energy storage systems;
Reliability assessment of photovoltaic and storage elements;
Grid integration strategies;
Economic and environmental assessments and case studies of real-world applications.

By bringing together experts from academia, industry, and government, this Special Issue seeks to advance our understanding and accelerate the deployment of integrated solar power generation and energy storage solutions for a sustainable energy future.

Dr. Abderezak Lashab
Guest Editor

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Research

26 pages, 3971 KB

Open AccessArticle

Short-Term Forecasting of the Total Power Generation from Wind Farms and Solar Power Plants in the National Power System Using Advanced Ensemble Machine Learning Models

by Paweł Piotrowski

Energies 2026, 19(4), 930; https://doi.org/10.3390/en19040930 - 10 Feb 2026

Viewed by 855

Abstract

The introduction of the article presents the state of renewable energy development in Poland and statistical information on its dynamics in the context of sustainable development, highlighting both the positive aspects of this situation and the potential risks to the national power system. These risks stem from the inherent instability of renewable energy generation and the seasonal variability of production. The main part of the article provides a comprehensive statistical analysis of time series data (wind energy generation and solar energy generation) aimed at identifying the appropriate input variables for forecasting models. In addition to the two time series of electricity generation, other exogenous variables and feature engineering techniques were incorporated. In the forecasting section, short-term forecasts of energy generation in the national power system from wind farms and solar power plants were developed. The forecasts for both types of renewable energy sources (RESs) were conducted separately and then integrated into a single time series to assess which forecasting approach is more effective. A detailed analysis was carried out to determine the optimal hyperparameters for individual machine learning models. Subsequently, an ensemble model was developed, integrating multiple single models. The article concludes with final insights and practical recommendations regarding the selection of preferred models and input variables that ensure the highest forecast accuracy. Additionally, potential future developments of the models and further research in this field are discussed in the context of sustainable development. Full article

(This article belongs to the Special Issue Combined Application of Solar Power Generation and Energy Storage Technology)

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25 pages, 4705 KB

Open AccessArticle

An Analysis of the Increase in Energy Efficiency of Photovoltaic Installations by Using Bifacial Modules

by Dariusz Kurz, Arkadiusz Dobrzycki, Ewelina Krawczak, Jarosław Jajczyk, Jakub Mielczarek, Waldemar Woźniak, Michał Sąsiadek, Olga Orynycz, Karol Tucki and Ewa Badzińska

Energies 2025, 18(5), 1296; https://doi.org/10.3390/en18051296 - 6 Mar 2025

Cited by 7 | Viewed by 2460

Abstract

This work concerns the experimental verification of changes in the energy efficiency of photovoltaic installations through the use of bifacial modules. For this purpose, an experimental stand was designed and built for the comparative analysis of the efficiency of two types of photovoltaic panels: bifacial (bPV) and monofacial (mPV). The tests consisted of placing the panels at different heights above the ground surface and at different angles. During the tests, three substrates with different albedo were taken into account: green grass, gray concrete (fabric), and white snow (polystyrene). The tests for both types of panels were carried out simultaneously (in parallel), which guaranteed the same environmental conditions (temperature and solar radiation intensity). Based on the results of the voltage and current measurements for different angles of PV module inclination and, for bPV panels, different heights above the ground surface and different types of substrate, a series of current–voltage characteristics and power characteristics were plotted. The “additional” energy efficiency of bifacial panels compared to monofacial panels was also determined. It was shown that under favorable conditions, using bifacial panels instead of monofacial panels can increase the production of electricity by more than 56% from structures of the same dimensions. The research results can be of great value when designing photovoltaic installations. Full article

(This article belongs to the Special Issue Combined Application of Solar Power Generation and Energy Storage Technology)

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