Use of BP Neural Networks to Determine China’s Regional CO₂ Emission Quota

Table 1

The CO₂ emission coefficients of various energy sources.

Energy	NCV	CEF	OR	EF
Raw coal	20 908	26.37	0.94	1.900 3
Coal	20908	25.8	0.92	1.8300
Coke	28435	29.5	0.93	2.860 4
Crude oil	41816	20.1	0.98	3.020 2
Fuel oil	41816	21.1	0.98	3.170 5
Gasoline	43070	18.9	0.98	2.925 1
Kerosene	43070	19.5	0.98	3.017 9
Diesel	42652	20.2	0.98	3.095 9
Liquefied petroleum gas	50179	17.2	0.98	3.101 3
Refinery dry gas	46055	18.2	0.98	3.011 9
Natural gas	38931	15.3	0.99	2.162 2

Notes: (1) NCV comes from China “General Principles of Comprehensive Energy Consumption Calculation” (GB/T 2589–2008); (2) CEF and OR come from China’s “Provincial Greenhouse Gas Inventory Compilation Guide” (NDRC Office [2011] No. 1041).