Current Issue : July-September Volume : 2025 Issue Number : 3 Articles : 5 Articles
Renewable energy refers to energy derived from natural sources that are replenished at a faster rate than they are consumed. This includes solar, wind, hydroelectric, geothermal, and biomass energy. The significance of renewable energy lies in its potential to provide sustainable power solutions while mitigating the adverse effects of climate change. As the global demand for energy continues to rise, transitioning to renewable sources is essential for reducing greenhouse gas emissions and promoting environmental sustainability. The importance of renewable energy is underscored by its ability to diversify energy supply and enhance energy security. Unlike fossil fuels, which are finite and often subject to geopolitical tensions, renewable resources are abundant and widely distributed across the globe. This diversification not only helps stabilize energy prices but also reduces dependence on imported fuels, thereby fostering economic resilience and energy independence for nations. By harnessing local renewable resources, countries can create a more self-sufficient energy landscape, which is particularly important in times of global uncertainty or supply chain disruptions. Furthermore, the shift towards renewable energy is crucial for fostering innovation and creating job opportunities in emerging industries. As technology advances, the renewable energy sector is becoming increasingly competitive, leading to significant investments in research and development. This transition not only addresses environmental concerns but also stimulates economic growth, making renewable energy a vital component of a sustainable future. The growth of the renewable energy sector has the potential to create millions of jobs in manufacturing, installation, maintenance, and management, contributing to a more robust and diverse economy. In addition to economic benefits, renewable energy sources contribute to improved public health. By reducing reliance on fossil fuels, which are major contributors to air pollution and related health issues, the transition to cleaner energy can lead to better air quality and lower healthcare costs. Communities that adopt renewable energy technologies often experience enhanced quality of life, as cleaner energy sources lead to healthier living environments. Moreover, the integration of renewable energy into the existing energy grid presents opportunities for technological advancements and smart grid solutions. Innovations such as energy storage systems, demand response technologies, and decentralized energy generation can enhance the efficiency and reliability of energy systems. These advancements not only facilitate the integration of renewable sources but also empower consumers to take control of their energy usage, promoting energy conservation and efficiency. The paper concludes that, the transition to renewable energy is not merely an environmental imperative; it is a multifaceted opportunity that encompasses economic growth, energy security, public health, and technological innovation. As nations around the world strive to meet their energy needs sustainably, the adoption of renewable energy will play a pivotal role in shaping a resilient and prosperous future for generations to come....
Power quality is a crucial area of research in contemporary power systems, particularly given the rapid proliferation of intermittent renewable energy sources such as wind power. This study investigated the relationships between power quality indices of system output and PSD by utilizing theories related to spectra, PSD, and random signal power spectra. The relationship was derived, validated through experiments and simulations, and subsequently applied to multi-objective optimization. Various optimization algorithms were compared to achieve optimal system power quality.The findings revealed that the relationships between power quality indices and PSD were influenced by variations in the order of the power spectral estimation model. An increase in the order of the AR model resulted in a 36% improvement in the number of optimal solutions. Regarding optimal solution distribution, NSGA-II demonstrated superior diversity, while MOEA/D exhibited better convergence. However, practical applications showed that while MOEA/D had higher convergence, NSGA-II produced superior optimal solutions, achieving the best power quality indices (THDi at 4.62%,d%at 3.51%, and cos φ at 96%). These results suggest that the proposed method holds significant potential for optimizing power quality in practical applications....
This article presents the design and development of a supercapacitor for defined power profiles, focusing on the selection process for an optimal supercapacitor to form a high-performance supercapacitor module. The study outlines the methodology for selecting suitable components based on energy and power density requirements, considering operational efficiency and durability under specific load conditions.Acontrol algorithm for bidirectional power flowis developed to regulate the charging and discharging processes of the supercapacitor module, ensuring efficient energy management. Practical verification of the designed SC module is performed to evaluate the system dynamic response under various operational scenarios. The practical experimentation using the supercapacitor module is tested in laboratory conditions. The experimental results demonstrate the effectiveness of the control strategy in achieving bidirectional operation, confirming the suitability of the designed supercapacitor module for applications requiring fast power delivery and recovery....
In the context of the global pursuit of carbon peaking and carbon neutrality, the effective integration of new energy sources and their synergistic optimization with energy storage systems have become key to achieving dual carbon goals. This study aims to develop optimization models that facilitate the efficient integration of new energy while ensuring the stability of the power grid. By employing mathematical modeling and simulation techniques, this research analyzes the interaction between new energy sources and energy storage systems and explores how to maximize the utilization of new energy and minimize environmental impact through source-storage synergy. The main research question focuses on designing effective operation strategies to achieve optimal synergy between new energy and energy storage systems....
This research aims to inquire about the influence of energy markets on reshaping green recovery by studying the role of energy resource efficiency in energy reforms in China. Data was obtained from 2012 to 2019 to test the findings of this data envelopment analysis (DEA) technique. The study findings showed that China has implemented extensive market reforms in its power industry to create a more sustainable future. There has been an uptick in energy resource efficiency since 2016, but there are still problems, especially with the dependability of electricity production. Notably, energy reforms have a significant influence on energy resource efficiency. Extending it, energy resource efficiency also enhances green recovery significantly. This research further shows increased variety within the energy resource industry, enhancing our knowledge of market changes’ implications. The study recommends numerous policy implications for policymakers, including revamping energy markets with more green recovery initiatives, advancing energy resource efficiency with accurate technical support, implementing electrical grid modernization in China, and attempting to resolve regional energy resource efficiency discrepancies....
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