Green Energy & Environment最新文献

CO₂ photoreduction into carbon-based chemicals has been considered as an appropriate way to alleviate the energy issue and greenhouse effect. Herein, the 5, 10, 15, 20-tetra (4-carboxyphenyl) porphyrin cobalt(II) (CoTCPP) has been integrated with BiOBr microspheres and formed the CoTCPP/BiOBr composite. The as-prepared CoTCPP/BiOBr-2 shows optimized photocatalytic performance for CO₂ conversion into CO and CH₄ upon irradiation with 300 W Xe lamp, which is 2.03 and 2.58 times compared to that of BiOBr, respectively. The introduced CoTCPP significantly enhanced light absorption properties, promoted rapid separation of photogenerated carriers and boosted the chemisorption of CO₂ molecules. The metal Co²⁺ at the center of the porphyrin molecules also acts as adsorption center for CO₂ molecules, boosting the CO₂ convert into CO and CH₄. The possible mechanism of CO₂ photoreduction was explored by in-situ FT-IR spectra. This work offers a new possibility for the preparation of advance photocatalysts.

The application of industrial solid wastes as environmentally functional materials for air pollutants control has gained much attention in recent years due to its potential to reduce air pollution in a cost-effective manner. In this review, we investigate the development of industrial-waste-based functional materials for various gas pollutant removal and consider the relevant reaction mechanism according to different types of industrial solid waste. We see a recent effort towards achieving high-performance environmental functional materials via chemical or physical modification, in which the active components, pore size, and phase structure can be altered. The review will discuss the potential of using industrial solid wastes, these modified materials, or synthesized materials from raw waste precursors for the removal of air pollutants, including SO₂, NO_x, Hg⁰, H₂S, VOCs, and CO₂. The challenges still need to be addressed to realize this potential and the prospects for future research fully. The suggests for future directions include determining the optimal composition of these materials, calculating the real reaction rate and turnover frequency, developing effective treatment methods, and establishing chemical component databases of raw industrial solid waste for catalysts/adsorbent preparation.

Viscosity is one of the most important fundamental properties of fluids. However, accurate acquisition of viscosity for ionic liquids (ILs) remains a critical challenge. In this study, an approach integrating prior physical knowledge into the machine learning (ML) model was proposed to predict the viscosity reliably. The method was based on 16 quantum chemical descriptors determined from the first principles calculations and used as the input of the ML models to represent the size, structure, and interactions of the ILs. Three strategies based on the residuals of the COSMO-RS model were created as the output of ML, where the strategy directly using experimental data was also studied for comparison. The performance of six ML algorithms was compared in all strategies, and the CatBoost model was identified as the optimal one. The strategies employing the relative deviations were superior to that using the absolute deviation, and the relative ratio revealed the systematic prediction error of the COSMO-RS model. The CatBoost model based on the relative ratio achieved the highest prediction accuracy on the test set (R² = 0.9999, MAE = 0.0325), reducing the average absolute relative deviation (AARD) in modeling from 52.45% to 1.54%. Features importance analysis indicated the average energy correction, solvation-free energy, and polarity moment were the key influencing the systematic deviation.

Removing hydrogen sulfide (H₂S) via the selective oxidation has been considered an effective way to further purify the indusial sulfur-containing due to it can completely transform residual H₂S into elemental sulfur. While N-doped porous carbon was applied to H₂S selective oxidation, a sustainable methodology for the synthesis of efficient and stable N-doped carbon catalysts remains a difficulty, limiting its future development in large-scale applications. Herein, we present porous, honeycomb-like N-doped carbon catalysts with large specific surface areas, high pyridinic N content, and numerous structural defects for H₂S selective oxidation prepared using reusable NaCl as the template. The as-prepared NC-10-800 catalyst exhibits excellent catalytic performance (sulfur formation rate of 784 g_sulfur·kg_cat.^-1·h^-1), outstanding stability (> 100 h), and excellent anti-water vapor, anti-CO₂ and anti-oxidation properties, suggesting significant potential for practical industrial application. The characterization results and kinetic study demonstrate that the large surface areas and structural defects created by the molten salt at high temperature enhance the exposure of pyridinic N sites and thus accelerate the catalytic activity. Importantly, the water-soluble NaCl template could be easily washed from the carbon nanomaterials, and thus the downstream salt-containing wastewater could be subsequently reused for the dissolution of carbon precursors. This environment-friendly, low-cost, reusable salt-template strategy has significant implications for the development of N-doped carbon catalysts for practical applications.

Emerging contaminants (ECs) are widely present in aquatic environments, posing potential risks to both ecosystems and human health. The ultrasound-assisted persulfate oxidation process has attracted considerable attention in the degradation of ECs due to its ability to generate both sulfate radicals and cavitation effects, enhancing degradation effects. In this paper, the principle of ultrasonic synergistic Fenton-like oxidation system for degrading organic pollutants was reviewed, divided into homogeneous system, non-homogeneous system, and single-atom system to explore the synergistic effect of ultrasound-enhanced persulfate technology in three aspects, and the effects of environmental factors such as ultrasonic frequency and power, system pH, temperature, and initial oxidant concentration on the system's decontamination performance were discussed. Finally, future research on ultrasonically activated persulfate technology is summarized and prospected.