Research on Carbon Footprint Accounting of Typical Petrochemical Products Based on LCA Under the Co2 Peaking and Carbon Neutrality Target
China has proposed to reach the peak of carbon dioxide emissions before 2030 and strive to achieve carbon neutrality before 2060.While achieving green transformation,the"dual carbon"goal has also brought great challenges to China's macroeconomic development and industrial production.Carbon footprint evaluation is the technical basis for quantifying improvement effects of carbon emission,which can help enterprises to carry out active and effective carbon management and improve the green competitiveness of products.Based on the whole life cycle carbon footprint evaluation method,the article establishes a typical petrochemical product carbon footprint accounting model,and takes a certain type of grease as an example to carry out the product carbon footprint accounting and analysis.The carbon footprint calculation of petrochemical products is divided into five parts,including emissions from raw materials brought in,energy consumption,production process,auxiliary materials and transportation process.It is found that the carbon footprint of grease products is 1449.15kgCO2/t,the proportion of emissions brought in by raw materials is the largest in its entire life cycle carbon footprint,mainly due to the use of multiple chemical raw materials in the product;Secondly,carbon emissions during transportation are mainly caused by the use of road transportation for off-site product transportation;The third is energy consumption emissions,most of which are caused by the use of electricity and natural gas;The emissions brought in by auxiliary materials can be almost negligible.Through the use of low-carbon raw materials,rational optimization of transportation layout,implementation of green power substitution and energy saving technology,the carbon footprint of the product can be effectively reduced.
CO2 peak and carbon neutralitylife cycle assessmentcarbon footprinttypical petrochemicalsgrease
NETL
NSTL
万方数据
