Journal
JOURNAL OF CLEANER PRODUCTION
Volume 242, Issue -, Pages -Publisher
ELSEVIER SCI LTD
DOI: 10.1016/j.jclepro.2019.118364
Keywords
Aggregated NOX intensity (ANI); Electricity generation; Logarithmic mean divisia index (LMDI); Temporal decomposition; Spatial decomposition
Categories
Funding
- National Key Research and Development Program of China [2018YFC0213600]
- National Natural Science Foundation of China [41871211, 41571522, 71673198]
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In China, as a kind of important precursors to cause PM2.5 and O-3 pollution, nitrogen oxides (NOX) have attracted a large attention. From the perspective of electricity-related NOx generation, the aggregate nitrogen oxides generation intensity (ANI) is decomposed temporally and spatially based on the LMDI method. At the country level, ANI in China dropped significantly from 2.90 g NOX/kWh to 2.15 g NOX/kWh from 2000 to 2016. The temporal and spatial decomposition results showed that the major driving forces are the clean energy penetration (U-cp) and thermal power generation efficiency (U-int), which decreased ANI by 10.5% and 7.74% during the study period, respectively. U-cp in the southwestern, central and northwestern regions were the main contributors for ANI reduction. U-int in the eastern region was the main contributor in reducing ANI. Based on our findings, it is suggested to provide different NOX emission reduction policies for different provinces. Thus, these approaches will improve initiatives of reducing NOX emission from source. Crown Copyright (c) 2019 Published by Elsevier Ltd. All rights reserved.
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