Massive emission of CO as a potential driver of climate change has become a global issue presented in front of the whole human beings. Motivated by the CO cut-down requirement, China has aggressively undertaken restrictions aiming for peaking the carbon dioxide by 2030 and achieving carbon neutrality by 2060. However, due to the complex structures of industry and fossil fuel consumption in China, specific carbon neutrality route and the CO reduction potential are still open questions. To address the bottleneck of the "dual-carbon" target, quantitative carbon transfer and emission of different sectors are traced based on mass balance model. The future CO reduction potentials are predicted based on structural path decomposition, with consideration of energy efficiency enhancement and process innovation. Electricity generation, iron & steel industry and cement industry are identified as the top three CO-intensive sectors, with CO intensity of at around 517 kg CO/MWh, 2017 kg CO/t CS and 843 kg CO/t clinker, respectively. Non-fossil power is suggested to substitute coal-fired boilers to achieve decarbonization of the electricity generation industry, which is the largest energy conversion sector in China. As two dominant energy end-users, the iron & steel industry and cement industry exhibit different CO emission sources, requiring divergent approaches for low-carbon development. For the iron & steel industry, around 89 % direct CO emission comes from fossil fuel. Immediate energy efficiency enhancements are suggested, followed by process innovations such as oxy-blast furnaces, hydrogen-based reduction, and scrap-based electric arc furnaces. For the cement industry, around 66 % of direct CO emission comes from carbonate decomposition. The process innovation with CO enrich and recovery would be the most effectiveness for carbon reduction. Staged low-carbon policies of the three CO-intensive industries are introduced at the end of this paper, which is capable of achieving 75-80 % cut down of CO emission intensity in China till 2060.
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http://dx.doi.org/10.1016/j.scitotenv.2023.163009 | DOI Listing |
Bioresour Technol
January 2025
College of Materials Engineering, Fujian Agriculture and Forestry University, Fuzhou 350002 Fujian, China. Electronic address:
The aviation industry plays a crucial role in global trade and cultural exchange, but it faces significant challenges due to high fuel costs and environmental impacts. To achieve carbon neutrality, promoting the development of sustainable aviation fuel (SAF) is essential, with projections indicating that 65% of emissions reductions in the aviation industry by 2050 will come from the use of SAF. Lignin, as an abundant renewable resource, has great potential for conversion into aviation fuel components.
View Article and Find Full Text PDFACS Appl Mater Interfaces
January 2025
College of Polymer Science and Engineering, State Key Laboratory of Polymer Materials Engineering, Sichuan University, Chengdu 610065, China.
The ongoing soft actuation has accentuated the demand for dielectric elastomers (DEs) capable of large deformation to replace the traditional rigid mechanical apparatus. However, the low actuation strain of DEs considerably limits their practical applications. This work developed high-performance polyurethane-urea (PUU) elastomers featuring large actuation strains utilizing an approach of kinetic control over the microphase separation structure during the fabrication process.
View Article and Find Full Text PDFEnviron Res
January 2025
Key Laboratory of Ecosystem Network Observation and Modeling, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China; Earth Critical Zone and Flux Research Station of Xing'an Mountains, Chinese Academy of 15 Sciences, Daxing'anling 165200, China; College of Resources and Environment, University of Chinese Academy of Sciences, Beijing 10049, China. Electronic address:
Accurate quantifying of methane (CH) emissions is a critical aspect of current research on regional carbon budgets. However, due to limitations in observational data, research methodologies, and an incomplete understanding of process mechanisms, significant uncertainties persist in the assessment of wetland CH fluxes in China. In this study, we developed a machine learning model by integrating measured CH fluxes with related environmental data to produce a high-resolution (1 km) dataset of CH fluxes from China's wetlands for the period 2000-2020.
View Article and Find Full Text PDFAdv Mater
January 2025
State Key Laboratory of Catalysis, Dalian Institute of Chemical Physics, Chinese Academy of Sciences, 457 Zhongshan Road, Dalian, 116023, China.
Restricting the growth of sodium (Na) dendrites at the atomic level is the premise to enable both the stability and safety of sodium metal batteries (SMBs). Here, the universal synthesis of the fourth main group element (Sn, Ge, Pb) as single metal atoms anchored on graphene (Sn, Ge, Pb SAs/G) with sp hybridization for dendrite-free sodium metal anode is reported. The in situ real-time observation of Na growth on Sn SAs/G uncoils a kinetically uniform planar deposition at the atomic level for substantially suppressing the dendrite growth.
View Article and Find Full Text PDFJ Environ Manage
January 2025
Department of Architecture, National University of Singapore, Singapore, 117566, Singapore.
China, the world's largest carbon emitter, plays a pivotal role in achieving carbon neutrality. This study systematically analyzes the impact of landscape indices on carbon emissions from rural settlements across more than 2800 counties using eight supervised machine learning models. To assess variable influences under diverse conditions, we also employed the SHapley Additive exPlanations (SHAP) and Accumulated Local Effects (ALE) methods.
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