• Energy Research

AbstractThe reactive adsorption desulfurization is an important and efficient technology for the ultra‐deep desulfurization of gasoline. The performance of an adsorbent is vital for the efficiency of the reactive adsorption desulfurization process. The formation of inert spinels is commonly recognized for the deactivation of adsorbents. In this work, TiO2 was incorporated in the Ni/ZnO‐Al2O3 adsorbent to inhibit the formation of the spinel phase. The TiO2 formed a stable protection layer on the surface of Al2O3, which prevented the interaction between Al2O3 and ZnO, inhibiting the formation of the ZnAl2O4 spinel phase. The introduction of TiO2 significantly improved the stability of the adsorbents during cyclic hydrothermal treatments, while the sulfur capacity slightly dropped. Characterization results revealed that TiO2 was homogeneously dispersed on the surface of Al2O3 support and the incorporation of TiO2 could maintain a certain amount of Lewis acid sites in the adsorbents, which are favorable for the adsorption of organo‐sulfur compounds.image

Although it's well known that the carbon intensity from passenger transport of cities varies widely, few studies assessed the disparities of that in city-level and its underlying factors due to the limited availability of data, and thus developed effective strategies for different types of cities. This study is the first to present a comprehensive inventory of emissions from passenger transport on road for 360 cities in mainland China for 2018, based on the data from 5 transport modes and evaluated by combining distance-based and top-down fuel-based methods. In 2018, passenger transport on road in China emitted 1076 MtC. A large portion of CO2 emissions was identified in the southern and eastern coastal areas and capital cities. GDP, population, and policy were the major factors determining the total CO2 emissions, but not carbon intensity. Clustering analysis of carbon intensity and 9 socio-economic predictors, using a tree-based regression model, clustered the 360 cities into 6 groups and showed that higher carbon intensities occurred in both affluent city groups with a high active population share and less affluent city groups with a low population density but high density of trip destinations. Forward-and-backward stepwise multiple regression analysis indicated that constructing a compact city is more effective for city groups with a high income and high active population share. Enhancing land-use mixed degree is more critical for city groups with a high income and low active population share, while shortening travel distance by intensifying infrastructure construction is more important for the less affluent city groups.