Dye removal from textile wastewater using scoria-based of vertical subsurface flow constructed wetland system.

Textile wastewater poses significant risks if discharged untreated, especially due to the presence of synthetic dyes, salts, and heavy metals. As a result, constructed wetlands have emerged as a promising solution for sustainable textile wastewater management. In this context, this study evaluates a micro-scale vertical subsurface flow constructed wetland (VSSFCW) for treating textile wastewater.

Performance evaluation of a brewery wastewater treatment plant: A case of Heineken Brewery, Addis Ababa, Ethiopia.

Untreated wastewater from the brewing industry poses significant environmental risks due to its high organic content. Therefore, this study evaluates the wastewater treatment system at Heineken Brewery in Addis Ababa, Ethiopia. Key parameters analyzed include COD, BOD₅, TSS, pH, ammonia (NH₃), total nitrogen (TN), total phosphorus (TP), electrical conductivity (EC), temperature, turbidity, and volatile fatty acids (VFA).

Redox State-Driven Synthesis of Mesoporous and Microsphere Poly(phenylenediamine) for Transition Metal-Free and All-polymer Dual-Ion Battery.

Dual-ion batteries (DIBs) are garnering immense attention for their capability to operate without the expensive elements required by lithium-ion batteries. Phenylenediamine serves as a versatile and sustainable resource, enabling the efficient preparation of both cathode and anode materials through precise molecular control and straightforward synthesis. The innovative asymmetrical DIBs based on amine-rich poly(phenylenediamine) cathodes and imine-rich poly(phenylenediamine) anodes enable oxidative and reductive states, providing a transition metal-free rechargeable battery.

[Carbon Emission Influencing Factors and Abatement Cost Calculation of Households in Northern Counties: A Case Study of Fengning County, Hebei].

With the economic development and the pace of urbanization, the rising living standard of the urban population has been accompanied with the increase in household carbon emissions in China, and it is of importance to understand the characteristics of the carbon emissions in order to support green energy transitions and sustainable development. Based on the household survey data and using the "Lifestyle calculator-for individuals" developed by the United Nations Climate Change Organization, this study analyzes urban household carbon emissions in Fengning County, Hebei Province, a typical county in North China. We applied the Lasso regression and Random Forest Models （RFMs）, assessing the impacts of relevant factors on household emissions.

[Evaluation of Energy Transition and Barrier Factors in Coal Resource Cities Under Carbon Neutral and Peak Carbon Goals].

As an important energy reserve base in China, accurate identification of the energy transition level and obstacle factors of coal resource cities of this type is conducive to achieving the carbon neutrality target proposed by China, as well as to the sustainable use of resources. The entropy-composite index method was used to evaluate the energy transition level and diagnose the obstacle factors of 47 coal resource-type cities from 2010 to 2020. The results showed that： ① The energy transition level of Chinese coal resource cities was steadily increasing and the overall transition level tended to be multi-polar, with the gap between cities increasing.

Toxicity evaluation and degradation of cypermethrin-contaminated soil using biochar and Bacillus cereus amendments.

Cypermethrin (Cyp), a persistent synthetic pyrethroid insecticide widely used for insect control. The persistence of Cyp creates toxicity to both humans and the environment This study investigates biochar and Bacillus cereus distinct and collective effects on Cyp -contaminated soil during a 90-day incubation. This study also investigates the effects of different concentrations of Cyp (50, 100, ,500 to 1000 mg kg) on soil physicochemical and biological activities during a 90-day incubation period.

Effective optimal control of a wind turbine system with hybrid energy storage and hybrid MPPT approach.

This research paper discusses a wind turbine system and its integration in remote locations using a hybrid power optimization approach and a hybrid storage system. Wind turbine systems' optimization controllers operate MPPT strategies efficiently, optimizing the system's overall performance. The proposed approach is HTb(P&O/FLC), which combines the P&O and FLC methods.

Enhancing load frequency control and automatic voltage regulation in Interconnected power systems using the Walrus optimization algorithm.

This paper introduces the Walrus Optimization Algorithm (WaOA) to address load frequency control and automatic voltage regulation in a two-area interconnected power systems. The load frequency control and automatic voltage regulation are critical for maintaining power quality by ensuring stable frequency and voltage levels. The parameters of fractional order Proportional-Integral-Derivative (FO-PID) controller are optimized using WaOA, inspired by the social and foraging behaviors of walruses, which inhabit the arctic and sub-arctic regions.

Design and performance evaluation of a multi-load and multi-source DC-DC converter for efficient electric vehicle power systems.

This paper introduces the design and comprehensive performance evaluation of a novel Multi-Load and Multi-Source DC-DC converter tailored for electric vehicle (EV) power systems. The proposed converter integrates a primary battery power source with a secondary renewable energy source-specifically, solar energy-to enhance overall energy efficiency and reliability in EV applications. Unlike conventional multi-port converters that often suffer from cross-regulation issues and limited scalability, this converter ensures stable power distribution to various EV subsystems, including the motor, air conditioning unit, audio systems, and lighting.

Hybrid modeling approach for precise estimation of energy production and consumption based on temperature variations.

This study introduces an advanced mathematical methodology for predicting energy generation and consumption based on temperature variations in regions with diverse climatic conditions and increasing energy demands. Using a comprehensive dataset of monthly energy production, consumption, and temperature readings spanning ten years (2010-2020), we applied polynomial, sinusoidal, and hybrid modeling techniques to capture the non-linear and cyclical relationships between temperature and energy metrics. The hybrid model, which combines sinusoidal and polynomial functions, achieved an accuracy of 79.

Production of Composite Briquette Fuel from Brewery Wastewater Sludge and Spent Grains.

Biomass waste energy recovery is a significant method for recycling energy from waste and capturing it for use in renewable energy sources. The abundance of brewing byproducts, such as brewery spent grain (BSG) and brewery wastewater sludge (BWWS), as well as their high carbon concentrations gives these wastes energy potential. With 20% molasses utilized as a binding agent to maximize the high caloric value of the briquette, this study sought to examine the quality of mixed briquettes made from BSG and BWWS.

Biosynthesis of TiO/CuO and Its Application for the Photocatalytic Removal of the Methylene Blue Dye.

In this study, we successfully synthesized a TiO/CuO nanocomposite using the aqueous extract of . leaf extract as a capping, reducing, and stabilizing agent for the first time in an environmentally friendly, low-cost, straightforward, and sustainable technique. Numerous characterization techniques such as ultraviolet-visible diffuse reflectance spectroscopy (UV-vis-DRS), photoluminescence (PL), Raman spectroscopy, Fourier-transform infrared (FTIR), energy dispersive X-ray (EDX), transmission electron microscopy (TEM), X-ray diffraction (XRD), scanning electron microscopy (SEM), Brunauer-Emmett-Teller (BET), and high resolution TEM (HRTEM) were used to characterize the obtained TiO/CuO nanocomposite.

Maiden application of mountaineering team-based optimization algorithm optimized 1PD-PI controller for load frequency control in islanded microgrid with renewable energy sources.

Load Frequency Control (LFC) is essential for maintaining the stability of Islanded Microgrids (IMGs) that rely extensively on Renewable Energy Sources (RES). This paper introduces a groundbreaking 1PD-PI (one + Proportional + Derivative-Proportional + Integral) controller, marking its inaugural use in improving LFC performance within IMGs. The creation of this advanced controller stems from the amalgamation of 1PD and PI control strategies.

FPGA based implementation of a perturbed Chen oscillator for secure embedded cryptosystems.

This paper introduces an enhancement to the Chen chaotic system by incorporating a constant perturbation term to one of the state variables, aiming to improve the performance of pseudo-random number generators (PRNGs). The perturbation significantly enhances the system's chaotic properties, resulting in superior randomness and increased security. An FPGA-based realization of a perturbed Chen oscillator (PCO)-derived PRNG is presented, tailored for embedded cryptosystems and implemented on a Nexys 4 FPGA card featuring the XILINX Artix-7 XC7A100T-1CSG324C integrated chip.

Design and implementation of a universal converter for microgrid applications using approximate dynamic programming and artificial neural networks.

This paper introduces a novel design for a universal DC-DC and DC-AC converter tailored for DC/AC microgrid applications using Approximate Dynamic Programming and Artificial Neural Networks (ADP-ANN). The proposed converter is engineered to operate efficiently with both low-power battery and single-phase AC supply, utilizing identical side terminals and switches for both chopper and inverter configurations. This innovation reduces component redundancy and enhances operational versatility.

Development and Characterization of NO-Plasma Oxide Layers for High-Temperature p-Type Passivating Contacts in Silicon Solar Cells.

Full-area passivating contacts based on SiO/poly-Si stacks are key for the new generation of industrial silicon solar cells substituting the passivated emitter and rear cell (PERC) technology. Demonstrating a potential efficiency increase of 1 to 2% compared to PERC, the utilization of n-type wafers with an n-type contact at the back and a p-type diffused boron emitter has become the industry standard in 2024. In this work, variations of this technology are explored, considering p-type passivating contacts on p-type Si wafers formed via a rapid thermal processing (RTP) step.

Lyapunov-based neural network model predictive control using metaheuristic optimization approach.

This research introduces a new technique to control constrained nonlinear systems, named Lyapunov-based neural network model predictive control using a metaheuristic optimization approach. This controller utilizes a feedforward neural network model as a prediction model and employs the driving training based optimization algorithm to resolve the related constrained optimization problem. The proposed controller relies on the simplicity and accuracy of the feedforward neural network model and the convergence speed of the driving training based optimization algorithm.

A high-efficiency poly-input boost DC-DC converter for energy storage and electric vehicle applications.

This research paper introduces an avant-garde poly-input DC-DC converter (PIDC) meticulously engineered for cutting-edge energy storage and electric vehicle (EV) applications. The pioneering converter synergizes two primary power sources-solar energy and fuel cells-with an auxiliary backup source, an energy storage device battery (ESDB). The PIDC showcases a remarkable enhancement in conversion efficiency, achieving up to 96% compared to the conventional 85-90% efficiency of traditional converters.

Keratin hydrolysate as a chrome exhaust aid and keratin filler in leather processing: A cleaner technology approach for tannery solid waste management and leather manufacturing.

Hair burning unhairing and dampening of tannery wastes during the hair-saving unhairing process are becoming significant problems in the tanning industry. Therefore, this research article focuses on the extraction of keratin hydrolysate (KH) and its application as a chrome exhaust aid and keratin filler in leather manufacturing process. The structure, morphology and functional groups of the extract were examined using X-Ray Diffractometer (XRD), scanning electron microscopy (SEM) and Fourier transform infrared spectrometer (FTIR), respectively.

Improving photovoltaic cell parameter calculations through a puffer fish inspired optimization technique.

The precise estimation of solar PV cell parameters has become increasingly important as solar energy deployment expands. Due to the intricate and nonlinear characteristics of solar PV cells, meta-heuristic algorithms show greater promise than traditional ones for parameter estimation. This study utilizes the Puffer Fish (PF) meta-heuristic optimization method, inspired by male puffer fish's circular structures, to estimate parameters of a modified four-diode PV cell.

Glycolipids biosurfactants production using low-cost substrates for environmental remediation: progress, challenges, and future prospects.

The production of renewable materials from alternative sources is becoming increasingly important to reduce the detrimental environmental effects of their non-renewable counterparts and natural resources, while making them more economical and sustainable. Chemical surfactants, which are highly toxic and non-biodegradable, are used in a wide range of industrial and environmental applications harming humans, animals, plants, and other entities. Chemical surfactants can be substituted with biosurfactants (BS), which are produced by microorganisms like bacteria, fungi, and yeast.