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The transport sector generates a considerable amount of greenhouse gas (GHG) emissions worldwide, especially road transport, which accounts for 95% of the total GHGs. It is commonly known that Electric vehicles (EVs) can significantly reduce GHG emissions. However, with a fossil-fuel-based power generation system, EVs can produce more GHGs and therefore cannot be regarded as purely environmentally friendly. As a result, renewable energy sources (RES) such as photovoltaic (PV) can be integrated into the EV charging infrastructure to improve the sustainability of the transportation system. This paper reviews the state-of-the-art literature on power electronics converter systems, which interface with the utility grid, PV systems, and EVs. Comparisons are made in terms of their topologies, isolation, power and voltage ranges, efficiency, and bi-directional power capability for V2G operation. Specific attention is devoted to bidirectional isolated and non-isolated EV-interfaced converters in non-integrated architectures. A brief description of EV charger types, their power levels, and standards is provided. It is anticipated that the studies and comparisons in this paper would be advantageous as an all-in-one source of information for researchers seeking information related to EV charging infrastructures.

Climate change and global warming have triggered a global increase in the use of renewable energy for various purposes. In recent years, the photovoltaic (PV)-system has become one of the most popular renewable energy technologies that captures solar energy for different applications. Despite its popularity, its adoption is still facing enormous challenges, especially in developing countries. Experience from research and practice has revealed that installed PV-systems significantly underperform. This has been one of the major barriers to PV-system adoption, yet it has received very little attention. The poor performance of installed PV-systems means they do not generate the required electric energy output they have been designed to produce. Performance assessment parameters such as performance yields and performance ratio (PR) help to provide mathematical accounts of the expected energy output of PV-systems. Many reasons have been advanced for the disparity in the performance of PV-systems. This study aims to analyze the factors that affect the performance of installed PV-systems, such as geographical location, solar irradiance, dust, and shading. Other factors such as multiplicity of PV-system components in the market and the complexity of the permutations of these components, their types, efficiencies, and their different performance indicators are poorly understood, thus making it difficult to optimize the efficiency of the system as a whole. Furthermore, mathematical computations are presented to prove that the different design methods often used for the design of PV-systems lead to results with significant differences due to different assumptions often made early on. The methods for the design of PV-systems are critically appraised. There is a paucity of literature about the different methods of designing PV-systems, their disparities, and the outcomes of each method. The rationale behind this review is to analyze the variations in designs and offer far-reaching recommendations for future studies so that researchers can come up with more standardized design approaches.

It is imperative to consider the environmental impact of energy production and its cost in deciding how to meet future energy needs. In this regard, it is possible to harness the power of the sun by using photovoltaic (PV) cells. However, when the temperature of a PV cell increases, its generation efficiency is negatively affected. The open-circuit voltage of PV modules is the most sensitive parameter to temperature changes. As the temperature rises, this parameter decreases, and the short-circuit current increases. The circuit's resistance also rises as the electrons’ speed is reduced. Temperature also affects the lifespan of PV cells, increasing the rate of thermal decay in their materials. On the other hand, when solar radiation is absorbed at lower temperatures, the system’s efficiency, power capacity, and useful life increase. PV module surface temperatures can be reduced in a variety of ways, e.g., the surface can be cooled using water. This work studied hybrid PV-thermal modules under the climate conditions of the Hatay province (Turkey) in order to assess the effect of water cooling on their generation efficiency. The results allow stating that up to 52.6% more electricity can be generated by cooling the module's surface. Additionally, it was found that, in order for PV modules to perform efficiently in Hatay's climate, they must operate at a maximum surface temperature of 55 °C.

In this paper, we conclude that Indonesia has vast potential for generating and balancing solar photovoltaic (PV) energy to meet future energy needs at a competitive cost. We systematically analyse renewable energy potential in Indonesia. Solar PV is identified to be an energy source whose technical, environmental and economic potential far exceeds Indonesia’s present and future energy requirements and is far larger than all other renewable energy resources combined. We estimate that electricity consumption in Indonesia could reach 9000 terawatt-hours per year by 2050, which is 30 times larger than at present. Indonesia has abundant space to deploy enough solar to meet this requirement, including on rooftops, inland reservoirs, mining wasteland, and in combination with agriculture. Importantly, Indonesia has a vast maritime area that almost never experiences strong winds or large waves that could host floating solar capable of generating >200,000 terawatt-hours per year. Indonesia also has far more off-river pumped hydro energy storage potential than required for balancing solar generation.

This work proposes a new simplified five-parameter estimation method for a single-diode model of photovoltaic panels. The method, based on an iterative algorithm, is able to estimate the parameter of the electrical single-diode model from the panel’s datasheet. Two iterative steps are used to estimate the five parameters starting from data provided by the manufacturer (nameplate values or I–V curves). The first step permits finding the optimal value of the diode ideality factor A, and the second step allows the calculation of the Rp value to improve the accuracy. A model that takes into account variations in temperature and solar irradiance has been used to validate the behavior of the output parameters. Compared to other estimation work, the proposed method shows the best result in the standard test condition (STC) and with a variable solar irradiance. Indeed, the optimization of the A, Rs, and Rp parameters allows guaranteeing the minimum error between I–V curves obtained from method and datasheet.

The considerable amount of waste PV modules expected to emerge from recent widespread of solar photovoltaic (PV) systems is a cause of concern, especially in sustainability terms. Currently, most end-of-life (EoL) PV modules are either disposed of in landfills or bulk recycled in existing recycling facilities. Although these approaches are easier in execution as less efforts are directed at sustainable management of these modules, they can potentially cause environmental issues including loss of valuable resources and leakage of toxic materials. Hence, high-value closed-loop recycling is much preferred for its environmental merits, although its implementation brings forward challenges that this paper attempts to shed light on. This review paper aims to provide an overview of the EoL management of PV modules, concentrating on the challenges faced in PV recycling. Additionally, PV waste-related regulatory frameworks implemented in different countries are discussed. Recommendations to improve the EoL management of PV modules and trade-offs arising from conflicting solutions are proposed. To establish a sustainable PV waste management framework, legislations promoting the extended producer responsibility (EPR) principle, presence of suitable infrastructure, research and development (R&D) and cooperation of various governmental and private bodies are highly needed.

This article aims to examine the factors affecting the acceptance of photovoltaic technology in Poland. Questions were asked about the perceived usefulness and ease of use of PV technology, how the attitudes and intentions of using PV technology are shaped, and how activities related to the promotion of PV technology are perceived. An examination was also conducted on which sociodemographic variables influence the above-mentioned constructs. As a result of the analysis, it was found that the economic usefulness of prosumer PV technology is rated the highest from the cost perspective. In terms of perceived ecological utility, the highest ratings were assigned to intentions to increase the production of green energy and to perceiving PV heating as ecological. In both of the above cases, the variables that statistically significantly influenced this assessment were age and the fact of having a PV system. The perceived ease of use of the PV system was also rated highly. The answers provided differed significantly depending on the possession of a PV system, gender, size of the place of residence and whether there was a person with technical education in the household. It was also noted that the attitudes towards the technology of prosumer PV systems are very favorable in terms of all the examined variables defining this construct. The variables that statistically differentiated the answers were experience in using PV systems, age, and size of the town. Furthermore, attention was drawn to ambiguous assessments of the perception of activities related to the promotion of prosumer PV systems. It was established that the only sociodemographic variable that determines statistically significant differences is age.

Solar power and photovoltaic (PV) systems have become crucial components of the world’s energy portfolio. The PV systems may be engineered in a number of ways, including off-grid, on-grid, and tracking. Incorporating PV systems with traditional sources of power like diesel generators (DGs) or other renewable sources, like windmills, is possible. In this situation, developers, investigators, and experts are striving to create the best design that accommodates the load demand in regards to technological, financial, ecological, and social aspects. To assist in figuring out the best PV size and design, numerous tools, models, and heuristics were created and rolled out. The majority of the tools, models, and techniques used to build PV systems over the past 70 years were described, assessed, and evaluated in this article. It was observed that methods for optimising PV system designs evolved with time and demand. Tool design is often divided into segments such as artificial and classical, solo and hybrid approaches, and others. Hybrid approaches, nevertheless, gained prominence to become the most popular approach because of its adaptability and capacity for handling challenging issues. This paper’s evaluation also helps the readers choose a PV system design tool (approximately 46) that is suited for their needs.

In recent years, aerial infrared thermography (aIRT), as a cost-efficient inspection method, has been demonstrated to be a reliable technique for failure detection in photovoltaic (PV) systems. This method aims to quickly perform a comprehensive monitoring of PV power plants, from the commissioning phase through its entire operational lifetime. This paper provides a review of reported methods in the literature for automating different tasks of the aIRT framework for PV system inspection. The related studies were reviewed for digital image processing (DIP), classification and deep learning techniques. Most of these studies were focused on autonomous fault detection and classification of PV plants using visual, IRT and aIRT images with accuracies up to 90%. On the other hand, only a few studies explored the automation of other parts of the procedure of aIRT, such as the optimal path planning, the orthomosaicking of the acquired images and the detection of soiling over the modules. Algorithms for the detection and segmentation of PV modules achieved a maximum F1 score (harmonic mean of precision and recall) of 98.4%. The accuracy, robustness and generalization of the developed algorithms are still the main issues of these studies, especially when dealing with more classes of faults and the inspection of large-scale PV plants. Therefore, the autonomous procedure and classification task must still be explored to enhance the performance and applicability of the aIRT method.

The present article focuses on a cradle-to-grave life cycle assessment (LCA) of the most widely adopted solar photovoltaic power generation technologies, viz., mono-crystalline silicon (mono-Si), multi-crystalline silicon (multi-Si), amorphous silicon (a-Si) and cadmium telluride (CdTe) energy technologies, based on ReCiPe life cycle impact assessment method. LCA is the most powerful environmental impact assessment tool from a product perspective and ReCiPe is one of the most advanced LCA methodologies with the broadest set of mid-point impact categories. More importantly, ReCiPe combines the strengths of both mid-point-based life cycle impact assessment approach of CML-IA, and end-point-based approach of Eco-indicator 99 methods. Accordingly, the LCA results of all four solar PV technologies have been evaluated and compared based on 18 mid-point impact indicators (viz., climate change, ozone depletion, terrestrial acidification, freshwater eutrophication, marine eutrophication, human toxicity, photochemical oxidant formation, particulate matter formation, terrestrial ecotoxicity, freshwater ecotoxicity, marine ecotoxicity, ionising radiation, agricultural land occupation, urban land occupation, natural land transformation, water depletion, metal depletion and fossil depletion), 3 end-point/damage indicators (viz., human health, ecosystems and cost increases in resource extraction) and a unified single score. The overall study has been conducted based on hierarchist perspective and according to the relevant ISO standards. Final results show that the CdTe thin-film solar plant carries the least environmental life cycle impact within the four PV technologies, sequentially followed by multi-Si, a-Si and mono-Si technology.