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Process Data set: Electricity production ; Thermal power ; China (en) en zh

Key Data Set Information
Location CN
Reference year 2019
Name
Electricity production ; Thermal power ; China
Use advice for data set Users of this data should refer to the 'Enterprise Greenhouse Gas Emissions Accounting Methods and Reporting Guidelines for Power Generation Facilities' for the accounting method. Data on different forms of power generation and fuel consumption are taken from Chapter 3 (Energy Production) and Chapter 6 (Regional Energy Balance Sheet) of the 'China Energy Statistical Yearbook 2020'. Fuel parameters for calculating CO2 emission factors, like low calorific value and carbon content per unit calorific value, can be sourced from the '2019 China Regional Power Grid Carbon Dioxide Baseline Emission Factor Calculation Instructions OM' and the aforementioned guidelines. It is imperative that users only apply this data for the specified scopes of direct power generation and not for lifecycle analysis that includes upstream and downstream processes.
Technical purpose of product or process This dataset describes the production of electricity through thermal power generation in China, utilizing seventeen different fossil fuels such as raw coal, washed coal, oil, and natural gas. It is applicable to the assessment of direct power generation operations, excluding considerations of upstream raw material extraction, processing, and downstream power consumption. This data can be used for evaluating the environmental impact of electricity generation in China's thermal power plants.
Classification
Class name : Hierarchy level
  • ILCD: Unit processes / Energy carriers and technologies / Electricity
General comment on data set Thermal power generation includes seventeen fossil fuels such as raw coal, washed coal, oil and natural gas. The process only considers the direct power generation process, not the upstream raw material extraction and processing and the downstream power consumption
Copyright No
Owner of data set
Quantitative reference
Reference flow(s)
Time representativeness
Time representativeness description Calculated based on data from the 2019 Energy Statistics Yearbook
Technological representativeness
LCI method and allocation
Type of data set Unit process, single operation
Deviation from LCI method principle / explanations None
Deviation from modelling constants / explanations None
Data sources, treatment and representativeness
Deviation from data cut-off and completeness principles / explanations None
Deviation from data selection and combination principles / explanations None
Data treatment and extrapolations principles For the accounting method, please refer to the "Enterprise Greenhouse Gas Emissions Accounting Methods and Reporting Guidelines for Power Generation Facilities". Different forms of power generation and fuel consumption come from Chapter 3 (Energy Production) and Chapter 6 (Regional Energy Balance Sheet) in the "China Energy Statistical Yearbook 2020". The fuel parameters such as low calorific value and carbon content per unit calorific value used to calculate the carbon dioxide emission factor come from the "2019 China Regional Power Grid Carbon Dioxide Baseline Emission Factor Calculation Instructions OM" and the "Enterprise Greenhouse Gas Emission Accounting Method and Reporting Guide for Power Generation Facilities" 》
Deviation from data treatment and extrapolations principles / explanations None
Data source(s) used for this data set
Completeness
Completeness of product model No statement
Validation
Type of review
Dependent internal review
Reviewer name and institution
Data generator
Data set generator / modeller
Data entry by
Time stamp (last saved) 2024-04-06T17:25:16+08:00
Publication and ownership
UUID aef876a0-dd1f-4e00-97c5-3e59a0cfb6ac
Date of last revision 2024-04-20T15:10:47.924262+08:00
Data set version 00.01.005
Permanent data set URI https://lcadata.tiangong.world/showProcess.xhtml?uuid=aef876a0-dd1f-4e00-97c5-3e59a0cfb6ac&version=01.00.000&stock=TianGong
Owner of data set
Copyright No
License type Free of charge for all users and uses

Inputs

Type of flow Classification Flow Location Mean amount Resulting amount Minimum amount Maximum amount
Product flow Energy carriers and technologies / Energetic raw materials 0.3937 kg0.3937 kg
Product flow Energy carriers and technologies / Hard coal based fuels 0.0089 kg0.0089 kg
Product flow Energy carriers and technologies / Hard coal based fuels 0.004726 kg0.004726 kg
Product flow Energy carriers and technologies / Hard coal based fuels 0.003985 kg0.003985 kg
Product flow Wastes / Raw gas 0.046959 kg0.046959 kg
Product flow Emissions / Other substance type 0.006303 m30.006303 m3
Product flow Energy carriers and technologies / Crude oil based fuels 4.63E-5 kg4.63E-5 kg
Product flow Materials production / Other mineralic materials 0.0075069 kg0.0075069 kg
Product flow Energy carriers and technologies / Hard coal based fuels 5.0E-5 kg5.0E-5 kg
Product flow Energy carriers and technologies / Crude oil based fuels 3.0E-5 kg3.0E-5 kg
Product flow Materials production / Organic chemicals 2.0E-5 kg2.0E-5 kg
Product flow Energy carriers and technologies / Crude oil based fuels 3.5E-4 kg3.5E-4 kg
Product flow Energy carriers and technologies / Crude oil based fuels 1.0E-4 kg1.0E-4 kg
Product flow Energy carriers and technologies / Natural gas based fuels 4.4E-4 kg4.4E-4 kg

Outputs

Type of flow Classification Flow Location Mean amount Resulting amount Minimum amount Maximum amount
Product flow Energy carriers and technologies / Electricity 3.6 MJ3.6 MJ
Elementary flow Emissions / Emissions to air / Emissions to air, unspecified 0.834091067 kg0.834091067 kg
Elementary flow Emissions / Emissions to air / Emissions to air, unspecified 1.42247243E-4 kg1.42247243E-4 kg
Elementary flow Emissions / Emissions to air / Emissions to air, unspecified 2.27012741E-4 kg2.27012741E-4 kg
Waste flow Wastes / Production residues 2.8978416E-5 kg2.8978416E-5 kg