Solar energy production in EU + countries using space–time forecasting

Hydrogen energy storage requirements for solar and wind energy production to account for long-term variability

Background: Electricity availability is an essential part of both economic and non-economic activities in any country. Malawi being one of the developing nations experiences a lot of challenges both in its economic and non-economic activities due to unlimited levels of electric supply in its country. This inadequacy of limited supply has remained a challenge for a longer period of time to the effect that the country Malawi for a longer period of time has an overwhelming record of blackouts and load shedding. Consequently, this has affected in a negative way the economic activities of this nation such as low productivity in the production of goods and services making livelihood a difficult. Similarly, noneconomic activities such social interactions seem to be challenging due to lack of electricity. In this regard an investigation in determining new innovations towards electricity production remained one of the most important aspects in this county of Malawi. Method: This study was conducted in Chikwawa district, Malawi, to assess the feasibility of solar energy production. The methods used include temporal variability, correlation, trend, and spatial analysis to assess solar radiation, sunshine hours, and their distribution in the area. Result: As a result, the study was established with the purpose to assess feasible regions within the country of Malawi to innovate solar energy production to boost high levels of solar energy production. This study was conducted in the lower shire district and to be specific in Chikwawa district. The objectives of the feasibility in Chikwawa district included; assessing solar radiation and sunshine hours towards solar energy production, the spatial distribution of solar radiation and sunshine hours towards solar energy production, the trend of sunshine and solar radiation towards solar production and at the end to map the areas in Chikwawa District where solar energy production could be harnessed. Through the use of temporal variability, correlation analysis, trend analysis, and spatial analysis, the findings of this investigation established that harnessing solar energy is much more possible in areas of the lower shire which is the among others include Chikwawa district of Malawi as most areas currently in this region has less places with solar energy production but with high availability of solar radiation. Conclusion: For the fact that the findings reveal more feasible places to establish solar energy production, this study recommends commitment by government and private sector to greatly establish solar energy production units in this area whilst focusing on identifying other potential areas where solar energy production can be harnessed in Malawi. In this regard, this exposition has achieved its purpose of fostering renewable energy production through innovating and investing in solar energy production. Novelty/Originality of this study: This detailed spatial and temporal analysis study has identified optimal locations for solar energy production, providing a new approach to renewable energy planning in developing countries.

Effect of wind and solar energy production, and economic development on the environmental quality: Is this the solution to climate change?

The article is devoted to the analysis of the modern post-war state of legal regulation of the production and sale of solar energy in Ukraine, namely the public-law aspects of the relevant sphere of legislation. The national legislation on solar energy was evaluated and it was found that since the introduction of martial law at the state level, a number of important actions have been taken in the direction of reforming and developing the legislative framework in the field of production and sale of solar energy. The problems of public and legal support for the development of solar energy are traced. The system of legal protection of solar energy requires changes in the part of tax and customs legislation regarding the legislative stimulation of the development of solar energy. The need to develop a national strategy for the development of alternative energy, in particular solar energy, as a tool for replacing and modernizing the outdated Soviet energy infrastructure, which suffered as a result of the aggression of the Russian Federation, is proven. The "green" tariff needs revision, which is due to pre-war legislative changes in terms of reducing the size of the "green" tariff. Attention is focused specifically on the public legal mechanisms of legal regulation of relations in the field of production and sale of solar energy. The modern post-war state of legal relations in the relevant field is highlighted, and problems in the functioning mechanism of the relevant market are identified. Proposals have been put forward regarding the unification of state and legal influence on the field of solar energy production and its implementation. Taking into account the previous experience of the operation of the solar energy market, it is proposed to form state principles of stimulating support for the implementation of technologies for saving generated energy using energy storages. The studied international legal obligations confirm the need for a state role in the field of fulfilling the accepted international obligations in the field of energy and the vector of potential accession to the European Union, the development of a legislative and regulatory framework that does not aim to reduce the dependence of the national economy on energy produced from fossil fuels resources.

In the context of sustainable development and the increasing shift to non-fossil alternative energy sources, solar energy offers countless advantages for its conversion into electricity. Modern technologies offer great opportunities for the introduction of artificial intelligence in the process of predicting the production of solar energy. However, this topic is still quite unexplored in the international scientific community, which makes this study relevant. The purpose of this study is to analyze the impact of artificial intelligence on solar energy production forecasting. To achieve the purpose of the study, a systematic literature analysis method was applied. As a result of the study, it was possible to establish that artificial intelligence has great potential for its implementation in the process of forecasting solar energy production. The study was able to establish random prediction models and machine learning models based on artificial intelligence for their cost effectiveness and risk in the process of forecasting solar energy production. During the literature review, it became clear that the following four models are the most effective in the work: the RFR, LIME, ELI5 and SHAP. Each model has its own advantages and disadvantages. These are manifested in production management, forecasting with high speed, flexibility, and explanation, reducing the risk of variability. However, the cost-effectiveness of implementing artificial intelligence in the process of forecasting solar energy production has much more economic efficiency than the risk aspects.

This work presents a numerical study of solar thermal energy production in DSF applied in the human comfort improvements, in winter conditions. The study considers a solar thermal energy production made in a DSF system placed in the outdoor environment and the improvement of human comfort conditions, namely the thermal comfort and the indoor air quality in a virtual office provided with impinging jets ventilation and occupied by eight occupants seated around the table with eight seats. This study uses a Building Dynamic Response numerical model and coupling of the Computational Fluids Dynamics and Human Thermal Response numerical models. The impinging jets ventilation is built with an inlet system and an outlet system. The inlet system integrates 4 vertical ducts, installed near the corner of the walls, whose airflow direction is descendent, at 0.5 m from the floor. The outlet system integrated six vertical ducts, located above the head level, with ascendant airflow direction. The study considers a solar thermal energy production in DSF during all day and the detailed evaluation of comfort condition in the middle of the morning and afternoon. The indoor air quality, thermal comfort, Draught Risk and Air Distribution Index are evaluated. The results show that the energy production ensures acceptable indoor air quality and thermal comfort conditions.

This study investigates the impact of weather conditions on solar energy production by comparing the performance of different time series forecasting models. Production data obtained from the İkitelli Solar Power Plant in Istanbul, together with simultaneous meteorological variables such as sunshine duration, cloudiness, humidity, and temperature, were analyzed. Three forecasting models—ARIMA, LSTM, and FB-Prophet—were implemented to evaluate their predictive performance. The accuracy of the models was assessed using widely accepted statistical metrics including Mean Squared Error (MSE), Root Mean Squared Error (RMSE), Mean Absolute Error (MAE), and the coefficient of determination (R²). The results show that the ARIMA model achieved the highest accuracy in short-term forecasting with the lowest error rates, demonstrating its effectiveness in handling stationary time series. The LSTM model, a deep learning approach, proved successful in capturing long-term dependencies, offering a robust alternative despite requiring larger datasets for optimal performance. The FB-Prophet model stood out for its ability to account for seasonality and trends but exhibited lower accuracy in short-term fluctuations compared to ARIMA and LSTM. Additionally, the analysis revealed that solar energy production is strongly correlated with weather conditions. In particular, an increase in sunshine duration positively influenced electricity generation, while greater cloud cover led to significant reductions in production levels. These findings highlight the importance of incorporating meteorological data into forecasting models to enhance the accuracy and reliability of renewable energy predictions. Furthermore, the study emphasizes that selecting the appropriate forecasting model according to data characteristics is critical for effective energy management. The outcomes provide methodological insights that may contribute to the optimization of solar energy projects and the integration of renewable energy into sustainable energy strategies.

There is no doubt that the European Union is undergoing an ecological transition, with renewable energies accounting for an increasing share of energy consumption in the Member States. In Spain, solar energy is one of these rapidly expanding renewable sources. This study analyzes the solar energy production of a panel in the Spanish region of Galicia. It has been demonstrated that the solar energy produced by this panel can be predicted using a hybrid stepwise system. The missing value imputation is a key step in the process. This involves combining regression and clustering techniques on different subdivisions of the complete dataset, starting with a smaller and less complete dataset and performing appropriate imputations to create a larger and more complete collection. Finally, the dataset is divided into more relevant subsets for regression analysis to calculate the amount of solar energy generated. The imputing missing values using an Artificial Neural Network resulted in a more valid dataset for further processing than eliminating rows with corrupted or empty values. Also, properly applying clustering techniques gives better results than working on the whole dataset.

The San Luis Valley (SLV)–Taos Plateau study area in south-central Colorado and north-central New Mexico is a large alpine valley surrounded by mountains with an area of approximately 6,263,000 acres (25,345 km2) (Figure ES.1-1). This area receives ample sunshine throughout the year, making it an ideal location for solar energy generation, and there are currently five photovoltaic facilities operating on private lands in the SLV, ranging in capacity from 1 to 30 megawatt (MW). In 2012 the Bureau of Land Management (BLM) launched its Solar Energy Program, which included the identification of four solar energy zones (SEZs) in the SLV totaling 16,308 acres (66 km2), as well as over 50,000 (202 km2) acres of other BLM-administered lands potentially available for application for solar development. The SEZ areas, named Antonito Southeast, De Tilla Gulch, Fourmile East, and Los Mogotes East, were defined by the BLM as areas well-suited for utility-scale (i.e., larger than 20 MW) production of solar energy where solar energy development would be prioritized (BLM 2012). Nonetheless, it was recognized that solar development in the SEZs would result in some unavoidable adverse impacts, and so the BLM initiated a solar regional mitigation strategy (SRMS) study for three of the SEZs (BLM and Argonne 2016). The SRMS is designed to identify residual impacts of solar development in the SEZs (that is, those that cannot be avoided or minimized onsite), identify those residual impacts that warrant compensatory mitigation when considering the regional status and trends of the resources, identify appropriate regional compensatory mitigation locations and actions to address those residual impacts, and recommend appropriate fees to implement those compensatory mitigation measures.

Today, energy is something that is taken for granted. Though non-renewable energy has a harmful impact on environment., its usage is all time high and is soon going to deplete. As the world looks for more environmental friendly energy resources., the solar energy comes out as an important clean energy source. The quantity of solar energy which strikes the surface of earth each hour is enough to meet the energy requirement of complete human population for a complete year. This calls for industries to soon adopt renewable energy sources as the primary source of energy. The main goal with this paper is to build a model that makes information regarding one's potential for switching to solar energy and making it available to a wider audience., bringing down the cost of sales and marketing and removing the uncertainties with the production of solar energy. A precise forecast of the solar irradiance can also be used in calculating the system load and accurately planning the grid system in advance.

This article examines solar energy, ways to increase efficiency in the production of solar energy, the solar tracking system and the importance of its construction, as well as the principles of building this system. An electric circuit based on the H-bridge scheme has been proposed for the automatic control of the solar tracking system. The working principle of the electric circuit based on the H-bridge circuit is explained. It has been shown that the efficiency of a solar tracking system depends on the performance of the element base, motor and software used in the system. A truth table has been compiled to ensure motor control and to write the appropriate controller program. Keywords: Solar energy, solar panel, motor, H-bridge circuit

Reducing greenhouse gas emissions is a global challenge. Innovative agrivoltaic systems that combine agriculture and solar energy production is one set of the solutions to reduce these emissions. While circularity is a pressing issue in agriculture and landscape experience in solar energy production, these issues have received little attention in relationship to agrivoltaics. This study examines aspects of circularity and landscape experience in built agrivoltaic projects reported in scientific literature and recently constructed agrivoltaic projects in the Netherlands. Understanding circularity and landscape experience in agrivoltaics contributes to enabling agriculture transitions and increasing public acceptance.Peer-reviewed literature was used to examine which aspects of circularity and landscape experience were addressed in 16 international agrivoltaics cases. Critical performance indicators were used for circularity and spatial properties for landscape experience. Furthermore, a systematic analysis of ten Dutch agrivoltaic cases was conducted by examining their visibility, accessibility, patch configuration and agricultural land-use beneath the agrivoltaic system.The results show that contribution to regional economy and vitality of the rural area is the most frequently mentioned circularity indicator, which is found in 82% of the international cases and 60% of the Dutch cases. Low visibility and low accessibility of agrivoltaic systems were found in the majority of Dutch agrivoltaic cases. Limited attention to landscape experience was found in the studied literature. This study provides valuable recommendations for research, farmers and policy makers for advancing transitions towards circular agrivoltaic power plants that pay more attention to landscape experience.

The National Observatory of Athens intends to operate a European Climate Change Observatory (ECCO) on the island of Antikythera, which meets the criteria to become a first-class research infrastructure. This project requires electricity that is unprofitable to get from the thermal units of this small island (20 km2). Solar energy is the subject that was examined in case it can give an environmentally and economically viable solution, both for the observatory and for the whole island. Specifically, observational and modeled data were utilized relevant to solar dynamic and atmospheric parameters in order to simulate the solar energy production by photovoltaics (PV) and Concentrated Solar Power (CSP) plant technologies. To this direction, a synergy of aerosol and cloud optical properties from the Copernicus Atmosphere Monitoring Service (CAMS) and the Eumetsat’s support to nowcasting and very short range forecasting (NWC SAF) with Radiative Transfer Model (RTM) techniques was used in order to quantify the solar radiation and energy production as well as the effect of the atmospheric parameters and to demonstrate energy adequacy scenarios and financial analysis. The ultimate goal is to highlight the opportunity for energy transition and autonomy for both the island itself and the rest of the community with the operation of ECCO, and hence to tackle climate change.

Understanding the fundamentals of electrochemical interfaces will undoubtedly reveal a path forward towards a society based on clean and renewable energy. In particular, it has been proposed that hydrogen can play a major role as an energy carrier of the future. To fully utilize the clean energy potential of a hydrogen economy, it is vital to produce hydrogen via water electrolysis, thus avoiding co-production of CO₂ inherent to reformate hydrogen. While significant research efforts elsewhere are focused on photo-chemical hydrogen production from water, the inherent low efficiency of this method would require a massive land-use footprint to achieve sufficient hydrogen production rates to integrate hydrogen into energy markets. Thus, this research has primarily focused on the water splitting reactions on base-metal catalysts in the alkaline environment. Development of high-performance base-metal catalysts will help move alkaline water electrolysis to the forefront of hydrogen production methods, and when paired with solar and wind energy production, represents a clean and renewable energy economy. In addition to the water electrolysis reactions, research was conducted to understand the de-activation of reversible hydrogen electrodes in the corrosive environment of the hydrogen-bromine redox flow battery. Redox flow batteries represent a promising energy storage option to overcome the intermittency challenge of wind and solar energy production methods. Optimization of modular and scalable energy storage technology will allow higher penetration of renewable wind and solar energy into the grid.

Solar energy embodied in international trade of goods and services: A multi-regional input–output approach