Engineering topics
Yan, Ran
Publications and source records attributed to Yan, Ran.
Provincial allocation of China's commercial building operational carbon toward carbon neutrality
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China's plug-in hybrid electric vehicle transition: An operational carbon perspective
Assessing the emissions of plug-in hybrid electric vehicle (PHEV) operations is crucial for accelerating the carbon–neutral transition in the passenger car sector. This study is the first to adopt a bottom-up model to measure the real-world energy use and carbon dioxide emissions of China’s top twenty selling PHEV models across different regions from 2020 to 2022. The results indicate that (1) the actual electricity intensity of the best-selling PHEV models (20.2–38.2 kWh/100 km) was 30–40 % higher than the New European Driving Cycle values, and the actual gasoline intensity (4.7–23.5 L/100 km) was 3–6 times greater than the New European Driving Cycle values. (2) The overall energy use of the best-selling models varied among different regions, and the energy use from 2020 to 2022 in Southern China was double that Northern China and the Yangtze River Middle Reach. (3) The top-selling models emitted 4.7 megatons of carbon dioxide nationwide from 2020 to 2022, with 1.9 megatons released by electricity consumption and 2.8 megatons released by gasoline combustion. Furthermore, targeted policy implications for expediting the carbon–neutral transition within the passenger car sector are proposed. In essence, this study explores and compares benchmark data at both the national and regional levels, along with performance metrics associated with PHEV operations. The main objective is to aid nationwide decarbonization efforts, focusing on carbon reduction and promoting the rapid transition of road transportation toward a net-zero carbon future.
Reactivity of [Tism Pr i Benz ]MgH and [Tism Pr i Benz ]MgMe towards Carbonyl Compounds: Access to Terminal Alkoxide and Enolate Complexes
The hydride and methyl compounds [Tism Pr i Benz ]MgH and [Tism Pr i Benz ]MgMe undergo insertion of the carbonyl moieties of non-enolizable aldehydes and ketones such as PhCHO and Ph 2 CO into the Mg–H and Mg–Me bonds to form alkoxide compounds, namely [Tism Pr i Benz ]MgOCH 2 Ph, [Tism Pr i Benz ]MgOCHPh 2 , [Tism Pr i Benz ]MgMOCH(Me)Ph and [Tism Pr i Benz ]MgOCMePh 2 . In contrast to the insertion of the carbonyl moiety, the reactions of the enolizable ketones Me 2 CO and PhC(O)Me with [Tism Pr i Benz ]MgMe afford the enolate complexes, [Tism Pr i Benz ]MgOC(Me)=CH 2 and [Tism Pr i Benz ]MgOC(Ph)=CH 2 . The formation of [Tism Pr i Benz ]MgOC(Me)=CH 2 is of note because methyl Grignard reagents preferentially react with acetone to form t-butoxide derivatives. The hydride compound, [Tism Pr i Benz ]MgH, also reacts with acetone to yield the enolate compound, [Tism Pr i Benz ]MgOC(Me)=CH 2 , but while the overall transformation is similar to that of the methyl derivative, [Tism Pr i Benz ]MgMe, the enolate compound is not the initially formed product. Specifically, acetone undergoes preferential insertion into the Mg–H bond to generate the corresponding alkoxide, [Tism Pr i Benz ]MgOPr i , which subsequently converts to the respective enolate in the presence of excess acetone. Furthermore, the relative ability of the hydride and methyl compounds to undergo insertion of carbonyl compounds into the Mg–H and Mg–Me bonds has been addressed computationally, which indicates that the barrier for insertion of the carbonyl group into the Mg–H bond is lower than that for insertion into the Mg–Me bond. The molecular structures of [Tism Pr i Benz ]MgOCH 2 Ph, [Tism Pr i Benz ]MgOCHPh 2 , [Tism Pr i Benz ]MgOCMePh 2 , [Tism Pr i Benz ]MgOC(Me)=CH 2 and [Tism Pr i Benz ]MgOC(Ph)=CH 2 have been determined by X-ray diffraction.
Towards COP27: Decarbonization patterns of residential building in China and India
As the two largest emerging emitters with the highest growth in operational carbon emissions from residential buildings, the historical emission patterns and decarbonization efforts of China and India warrant further exploration. This study aims to be the first to present a carbon intensity model considering end-use performances, assessing the operational decarbonization progress of residential building in India and China over the past two decades using the newest decomposing structural decomposition approach. Results indicate (1) the annual operational carbon intensity increased by 1.4% and 2.5% in China and India, respectively, between 2000 and 2020. Household expenditure-related energy intensity and emission factors were crucial in decarbonizing residential buildings. (2) Building electrification played a significant role in decarbonizing space cooling (–87.7 in China and – 130.2 kg of carbon dioxide (kgCO 2 ) per household in India) and appliances (~ –169.7 in China and ~ –43.4 kgCO 2 per household in India). (3) China and India collectively decarbonized 1498.3 and 399.7 M-tons of CO 2 in residential building operations, respectively. In terms of decarbonization intensity, India (164.8 kgCO 2 per household) nearly caught up with China (182.5 kgCO 2 per household) in 2020 and is expected to surpass China in the upcoming years, given the country's robust annual growth rate of 7.3%. Overall, this study provides an effective data-driven tool for investigating the building decarbonization potential in China and India, and offers valuable insights for other emerging economies seeking to decarbonize residential buildings in the forthcoming COP28 1 age.
Heterogeneity or illusion? Track the carbon Kuznets curve of global residential building operations
Residential buildings, the “last mile” sector in the global decarbonization, have become the most significant uncertain factor hindering carbon neutrality with increasing household energy demand. To track the operational carbon in buildings, this study investigates the carbon Kuznets curve (CKC) and the corresponding decoupling status of residential building operations at four emission scales by using the data of 30 countries from 2000 to 2019. The results show that (1) the CKC model can fit more than half of the samples. Most curves have an inverted U-shape, with 76% of emission per household and 82% of total emissions. (2) In the presence of the CKC, over four-fifths of global residential buildings peak regardless of any emission scale. The analysis denotes that the carbon emissions of developed countries reach their peaks earlier. In the total emissions, the samples’ peaking proportion is 20% and 25% with income per capita < 20,000 United States dollars (USD) and 20,000–40,000 USD, respectively. (3) The Tapio decoupling analysis and the threshold regression effectively verify the robustness and the heterogeneity of CKCs, respectively. Strong decoupling effects of CKCs in most countries are demonstrated at the scales of emission per floor space and the total emissions, and the heterogeneity proves the classic inverted U-shaped relationship between economy and emissions doesn’t exist in all emitters. Overall, this study tracks the historical carbon emission trajectories of residential building operations at a global scale, providing reference for different economies to simulate the dynamic of building carbon emissions along with the economic booming.
A causal data fusion method for the general exposure and outcome
Abstract With the advent of the big data era, the need to combine multiple individual data sets to draw causal effects arises naturally in many medical and biological applications. Especially each data set cannot measure enough confounders to infer the causal effect of an exposure on an outcome. In this article, we extend the method proposed by a previous study to causal data fusion of more than two data sets without external validation and to a more general (continuous or discrete) exposure and outcome. Theoretically, we obtain the condition for identifiability of exposure effects using multiple individual data sources for the continuous or discrete exposure and outcome. The simulation results show that our proposed causal data fusion method has unbiased causal effect estimate and higher precision than traditional regression, meta‐analysis and statistical matching methods. We further apply our method to study the causal effect of BMI on glucose level in individuals with diabetes by combining two data sets. Our method is essential for causal data fusion and provides important insights into the ongoing discourse on the empirical analysis of merging multiple individual data sources.
A bifunctional zeolitic porous liquid with incompatible Lewis pairs for antagonistic cascade catalysis
The emergence of porous liquids (PLs) opened opportunities to form unique antagonistic systems capable of fulfilling cascade reactions promoted by incompatible active sites in one pot, which is a long-term challenging subject in catalysis. Herein, unique bifunctional type III PL-based systems were facilely fabricated via assembly of zeolite nanosheets with ionic liquids. Rational structural design afforded PLs that feature high zeolite concentration, stable dispersion after 2 years, abundant cavity distribution, and involvement of antagonistic groups (acid and base sites) in separated and active form via steric hindrance control and electronic repulsion regulation. These unique properties worked cooperatively to fulfill the cascade deacetalization-Knoevenagel/Aldol condensation in one pot with superior catalytic efficiency outperforming the traditional systems. The key to success lies in the formation of bifunctional composites, transformation of zeolite from heterogeneous to homogeneous via surface modification, as well as rapid mass transfer ensured by the rigid porous architecture.