Chalcogenides: recent advances in their environmental applications

Intelligent safety and security is significant for preventing risks, ensuring information security and promoting sustainable social development, making it an indispensable part of modern society. Current research primarily focuses on the knowledge base and research hotspots in the field of intelligent safety and security. However, a comprehensive mapping of its overall knowledge structure remains lacking. A total of 1400 publications from the Web of Science Core Collection (2013–2023) are analyzed using VOSviewer and CiteSpace, through which co-occurrence analysis, keyword burst detection, and co-citation analysis are conducted. Through this approach, this analysis systematically uncovers the core themes, evolutionary trajectories, and emerging trends in intelligent safety and security research. Unlike previous bibliometric studies, this study is the first to integrate multiple visualization techniques to construct a holistic framework of the intelligent safety and security knowledge system. Additionally, it offers an in-depth analysis of key topics such as IoT security, intelligent transportation systems, smart cities, and smart grids, providing quantitative insights to guide future research directions. The results show that the most significant number of publications are from China; the top position on the list of papers published by related institutions is occupied by King Saud University from Saudi Arabia. Renewable and Sustainable Energy Reviews, Sustainable Cities and Society, and IEEE Transactions on Intelligent Transportation Systems are identified as the leading publications in this field. The decentralization of blockchain technology, the security and challenges of the Internet of Things (IoT), and research on intelligent cities and smart homes have formed the knowledge base for innovative security research. The four key directions of intelligent safety and security research mainly comprise IoT security, intelligent transportation systems, traffic safety and its far-reaching impact, and the utilization of smart grids and renewable energy. Research on IoT technology, security, and limitations is at the forefront of interest in this area.

Systematic Review on Capacity Building through Renewable Energy enabled IoT- Unmanned Aerial Vehicle for Smart Agroforestry

The rapid pace of economic and industrial development has led to increasingly severe environmental pollution and energy scarcity, emerging as pressing global concerns. Photocatalysis represents a promising strategy for addressing these dual challenges by converting solar energy into chemical energy or degrading pollutants. Among various photocatalysts, bismuth molybdate (Bi2MoO6), a representative Aurivillius-phase material, has garnered considerable attention owing to its visible-light-responsive bandgap, low toxicity, cost-effectiveness, and outstanding chemical stability. However, its practical application is significantly constrained by inherent drawbacks, including limited light absorption range and rapid recombination of photogenerated electron–hole pairs. This review presents a comprehensive overview of recent advances in Bi2MoO6-based photocatalysts, systematically examining synthesis methods, modification strategies (such as heterojunction construction, defect engineering, and elemental doping), and their diverse applications in both environmental remediation and energy conversion. Specifically, the environmental applications encompass the degradation of organic pollutants (e.g., dyes and antibiotics), antibacterial activity, and performance in complex water matrices. In the energy sector, applications include photocatalytic hydrogen evolution, CO2 reduction, and nitrogen fixation. Finally, the current challenges and future research directions for enhancing the photocatalytic performance of Bi2MoO6 are discussed, with the aim of guiding further investigation and facilitating its practical implementation in sustainable environmental and energy technologies.

Hydrogen production using g-C3N4 based photocatalysts: A review

Renewable energy (RE) is an essential resource to society for future development globally. An important challenge in the renewable energy systems is weather prediction. Solar and wind are the basic resources of renewable energy, and the generation of power highly depends on weather. Since many efficient techniques are available for weather forecasting, there might be unexpected changes that can influence energy generation. Therefore, advanced technologies must be implemented to avoid these vulnerabilities. Artificial intelligence (AI) techniques help in the analysis, prediction, and control of renewable energy. The recent algorithms of AI support the prediction of energy generation, energy loss, and equipment failures. AI addresses the problems of traditional power generation methods and provides an effective RE system. The integration of Internet of Things (IoT) with AI enables the renewable energy sector to expand to a greater extent. It is not possible to think of modern renewable energy without the contribution of AI and IoT. IoT is equipped with billions of devices that handle the high volumes of data, process a large volume of data, and perform useful functions for people.

Photocatalytic water-splitting is one of the most promising methods for solar-based renewable and sustainable energy applications. Ideal photocatalytic materials must be stable in aqueous solution, cost effective, and support several electronic properties for efficient device operations. These include conduction/valence band edges which straddle the H2/O2 redox potentials to achieve stochiometric reactions, a narrow band gap of 1.8 – 2.2 eV to absorb enough of the solar spectrum while retaining the driving potential for efficient charge carrier conduction, and a high band dispersion to reduce carrier recombination. The ns2 md0 metal oxide group has been suggested to favor high carrier mobility due to the dispersive ns and np characters of the valence band maxima and conduction band minima, respectively. Of these, bismuth-tungstate (Bi2WO6), a 2.6 eV n-type semiconductor, yields p-type materials as an impurity in quaternary oxides such as CuBiW2O8 and AgBiW2O8. On its own, however, Bi2WO6 exhibits high hole effective mass, or low valence band dispersion. Additionally, the band edges of Bi2WO6 experience an upshift with respect to WO3, though the conduction band of Bi2WO6 remains 0.3 eV below the H2 reduction potential, as compared to 0.5 eV in WO3. We will present results from density functional theory analyses of WO3:Bi2WO6 interfaces to better understand the behavior of Bi2WO6 at heterojunctions, as well as Sb:Bi2WO6 alloying for band gap and band edge engineering. The work is supported by NSF grant #1609811. Computations were performed on Texas Advanced Computing Center servers.

Industry 4.0 is used interchangeably with the fourth industrial revolution and the Internet of Things (IoT) is the key driver in this entire value chain. IoT is a cyber-physical system which essentially includes smart sensors, actuators, and gateways that are networked to communicate a stream of data to the data analytic platform. The advances in communication technology, computational technologies and data analytics allow effective monitoring and predictive control of the physical system. IoT is being applied in various domains ranging from factories, transportation, power grids and buildings with a common aim to make them smart and enhance value to their stakeholders. Supervisory Control and Data Acquisition (SCADA) was the most preferred domain in an electric grid substation where we could see the IoT concepts being implemented some four to five decades back. With the advent of newer Information and Communication Technologies (ICT), there is an urge for more effective monitoring and predictive controls of the assets in a transmission system which in turn will enhance the reliability, availability and overall efficiency of the system. IoT technology can be applied in transmission and distribution sectors to improve reliability and availability at a reduced cost which might be beneficial to the utilities as well as end customers. This paper reviews the IoT readiness of EHV substations in transmission systems and also the gaps which need to be filled whilst its implementation. Major components considered in a typical transmission system are High Voltage Primary Equipment, Station Auxiliaries, Transmission Lines and Control Buildings wherein the smart sensors are embedded in form of meters, transducers, potential free dry contacts, communication ports on legacy protocols and other communicable IoT devices. These transmission assets can be protected and monitored concerning their operating parameters and their health to decide upon the asset management strategy.

A significant growth in implementing various renewable energy systems is observed throughout the world. Variable renewable electricity (VRE) sources such as solar PV and wind power have gained attractive investments in many countries, resulting in rapid growth in the installed capacity of these green sources of energy. The contribution of these variable renewable electricity energy sources had produced around 8.7% of global electricity as compared to 27.3% of all renewable energy sources at the world level. Therefore, there is an urgent need to improve the power system flexibility as the progress of the integration of variable renewable electricity energy sources. International efforts to meet renewable energy deployment and energy efficiency measures are resulting in a safe and reliable manner of renewable energy, thereby, resulting in minimized environmental, climate impacts, air quality improvement, good public health, and increased jobs and economic growth, increased grid reliability as well as lower energy costs on a household, corporate and national levels, The joint efforts by various institutions, corporations, governments, and non-governmental organizations (NGOs) has resulted in enhancing world level energy efficiency highlighting the potential to significantly minimization of greenhouse gas emissions on the earth. This paper highlights the latest developments in implementing Internet of Things (IoT) GPS and GIS tools and applications in energy sector in various parts of the world.

"How can the integration of Internet of Things (IoT) technology enhance the sustainability and efficiency of green building (G.B.) design?" is the central research question that this study attempts to answer. This investigation is important because it examines how green building and IoT technology can work together. It also provides important information about how to use contemporary technologies for environmental sustainability in the building sector. The paper examines a range of IoT applications in green buildings, focusing on this intersection. These applications include energy monitoring, occupant engagement, smart building automation, predictive maintenance, renewable energy integration, and data analytics for energy efficiency enhancements. The objective is to create a thorough and sustainable model for designing green building spaces that successfully incorporates IoT, offering industry professionals cutting-edge solutions and practical advice. The study uses a mixed-methods approach, integrating quantitative data analysis with qualitative case studies and literature reviews. It evaluates how IoT can improve energy management, indoor environmental quality, and resource optimization in diverse geographic contexts. The findings show that there has been a noticeable improvement in waste reduction, energy and water efficiency, and the upkeep of high-quality indoor environments after IoT integration. This study fills a major gap in the literature by offering a comprehensive model for IoT integration in green building design, which indicates its impact. This model positions IoT as a critical element in advancing sustainable urban development and offers a ground-breaking framework for the practical application of IoT in sustainable building practices. It also emphasizes the need for customized IoT solutions in green buildings. The paper identifies future research directions, including the investigation of advanced IoT applications in renewable energy and the evaluation of IoT's impact on occupant behavior and well-being, along with addressing cybersecurity concerns. It acknowledges the challenges associated with IoT implementation, such as the initial costs and specialized skills needed.

This work demonstrates the significance of defect engineering in tuning the visible‐light‐driven photoelectrochemical property of alkali metal (Li, Na, and K) doped ZnO nanorods. The large concentration of oxygen vacancies introduced into the sub‐bandgap, because of alkali metal doping, serve as the light‐absorbing donor sites and also photoelectron recombination centers, resulting in the enhanced photocurrent and hole separation in the valance band. The lattice strain developed in the nanorods, owing to doping, contributes to the easy electron transportation and mobility. Defect engineering also tunes the electronic structure of photoanodes, resulting in bandgap modification and band edge engineering, boosting charge‐carrier migration and reduced electron−hole pair recombination for enhanced oxygen evolution.

Under intense environmental pressure, the global energy sector is promoting the integration of renewable energy into interconnected energy systems. The demand-side management (DSM) of energy systems has drawn considerable industrial and academic attention in attempts to form new flexibilities to respond to variations in renewable energy inputs to the system. However, many DSM concepts are still in the experimental demonstration phase. One of the obstacles to DSM usage is that the current information infrastructure was mainly designed for centralized systems, and does not meet DSM requirements. To overcome this barrier, this paper proposes a novel information infrastructure named the Internet of Energy Things (IoET) in order to make DSM practicable by basing it on the latest wireless communication technology: the low-power wide-area network (LPWAN). The primary advantage of LPWAN over general packet radio service (GPRS) and area Internet of Things (IoT) is its wide-area coverage, which comes with minimum power consumption and maintenance costs. Against this background, this paper briefly reviews the representative LPWAN technologies of narrow-band Internet of Things (NB-IoT) and Long Range (LoRa) technology, and compares them with GPRS and area IoT technology. Next, a wireless-to-cloud architecture is proposed for the IoET, based on the main technical features of LPWAN. Finally, this paper looks forward to the potential of IoET in various DSM application scenarios.

The objectives of this study are: (1) the performance of developing renewable energy based on IoT (Internet of Things) in the renewable energy engineering expertise program in the subject of solar hydro-wind energy (Tesha) engineering at Vocational Schools, (2) the level feasibility of development renewable energy based IoT in the subject Tesha's learning at Vocational Schools, (3) level effectiveness development renewable energy based IoT in the subject Tesha learning at Vocational Schools. This research is a research and development research with ADDIE approach (Analyze, Design, Develop, Implement, Evaluate) (Branch (2009) with approach experiments that will used is Quasi Experimental Design with form Nonequivalent Control Group Design. Results from study this show: (1) the feasibility of learning media " Eligible " category. Analysis response user get "Very feasible " category with Cronbach's Alpha get "Very Strong" category so that this media is declared fit for use as a learning media, (2) different and difficulty test on the questions pre-test with medium category of 96.875%, difficult 3.125% and post-test with moderate category of 93.75%, easy 3.125%, and difficult 3,125%, (3) Learning media more IoT based effective in comparison without using IoT because score statistic 0.05 that is 0.044 with the post-test average value is greater than the specified KKM value (85.42 75), while without using IoT, the post-test average value almost same KKM value (75.96 75).Keywords: learning media, renewable energy, Internet of Things (IoT)

The increasing global demand for electricity, coupled with the depletion of fossil fuel reserves, necessitates the urgent adoption of renewable energy sources. The Internet of Things (IoT) emerges as a transformative technology that can significantly enhance the efficiency and management of renewable energy systems. This comprehensive review examines the applications of IoT across various renewable energy sectors including solar, wind, hydroelectric, biomass, geothermal, and tidal energy systems. The study analyzes how IoT-enabled sensors and devices facilitate real-time monitoring, predictive maintenance, and optimization of renewable energy infrastructure. Key findings reveal that IoT implementation substantially improves operational efficiency through enhanced data collection, remote monitoring capabilities, and intelligent control systems. The research identifies major applications including solar data logging, wind turbine optimization, hydroelectric power plant management, and biomass monitoring systems. However, several challenges persist, including security vulnerabilities, interoperability issues, scalability limitations, and high initial implementation costs. The study proposes cost-effective solutions such as edge computing platforms, LoRa technology for remote monitoring, and public-private partnerships to address financial barriers. Future perspectives indicate significant potential for IoT integration with artificial intelligence and machine learning technologies to create more intelligent and autonomous renewable energy systems. The findings suggest that widespread IoT adoption in renewable energy sectors will be crucial for meeting global sustainability goals and supporting the transition to a clean energy future.

This review presents a comprehensive overview of recent advances in TiO₂-based photoelectrocatalysis (PEC), with an emphasis on material design strategies to enhance visible-light responsiveness and charge carrier dynamics. Key approaches—including elemental doping, defect engineering, heterojunction construction, and plasmonic enhancement—are systematically discussed in relation to their roles in modulating energy band structures and promoting charge separation. Beyond fundamental mechanisms, the review highlights the broad environmental and energy-related applications of TiO₂-driven PEC systems, encompassing the degradation of persistent organic pollutants, microbial disinfection, heavy metal removal, photoelectrochemical water splitting for hydrogen production, and CO₂ reduction. Recent progress in integrating PEC systems with energy harvesting modules to construct self-powered platforms is critically examined. Current limitations and future directions are also outlined to guide the rational development of next-generation TiO₂-based photoelectrocatalytic systems for sustainable environmental remediation and solar fuel conversion.

This review presents a comprehensive overview of recent advances in TiO2-based photoelectrocatalysis (PEC), with an emphasis on material design strategies to enhance visible-light responsiveness and charge carrier dynamics. Key approaches—including elemental doping, defect engineering, heterojunction construction, and plasmonic enhancement—are systematically discussed in relation to their roles in modulating energy band structures and promoting charge separation. Beyond fundamental mechanisms, the review highlights the broad environmental and energy-related applications of TiO2-driven PEC systems, encompassing the degradation of persistent organic pollutants, microbial disinfection, heavy metal removal, photoelectrochemical water splitting for hydrogen production, and CO2 reduction. Recent progress in integrating PEC systems with energy harvesting modules to construct self-powered platforms is critically examined. Current limitations and future directions are also outlined to guide the rational development of next-generation TiO2-based photoelectrocatalytic systems for sustainable environmental remediation and solar fuel conversion.