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

Key Data Set Information
Location JX-CN
Reference year 2019
Name
Electricity production ; Thermal power ; Jiangxi
Use advice for data set Users of this data set should note that it only includes the direct electricity generation process and excludes upstream activities such as the extraction and processing of raw materials, as well as downstream power consumption. The data should be used in Life Cycle Assessments where the scope is limited to direct power generation. Data on fuel consumption and power generation should be referenced from the 2019 Energy Statistics Yearbook, and methodological guidance can be found in the 'Enterprise Greenhouse Gas Emissions Accounting Methods and Reporting Guidelines for Power Generation Facilities'. CO2 emission factors should be calculated using parameters like low calorific value and carbon content per unit calorific value from additional resources specified, including the '2019 China Regional Power Grid Carbon Dioxide Baseline Emission Factor Calculation Instructions OM'. It's crucial to ensure that regional data corresponds accurately for the specific context of Jiangxi province.
Technical purpose of product or process This data set represents the thermal power generation process for direct electricity production in Jiangxi province, China, which includes the combustion of seventeen types of fossil fuels such as raw coal, washed coal, oil, and natural gas. This thermal power is primarily utilized to meet the electricity demands of the province and can include applications such as residential, commercial, and industrial energy supply.
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) 2024-03-28T01:22:27+08:00
Publication and ownership
UUID 766a62a3-8b6a-4efb-8452-99db38bcce69
Date of last revision 2024-04-20T15:10:47.842485+08:00
Data set version 00.01.005
Permanent data set URI https://lcadata.tiangong.world/showProcess.xhtml?uuid=766a62a3-8b6a-4efb-8452-99db38bcce69&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 0.3747014 kg0.3747014 kg
Product flow Energy carriers and technologies / Hard coal based fuels 0.01283434 kg0.01283434 kg
Product flow Energy carriers and technologies / Hard coal based fuels 7.387E-5 kg7.387E-5 kg
Product flow Energy carriers and technologies / Hard coal based fuels 0.0045782 kg0.0045782 kg
Product flow Energy carriers and technologies / Hard coal based fuels 4.78E-4 kg4.78E-4 kg
Product flow Energy carriers and technologies / Hard coal based fuels 0.002961 kg0.002961 kg
Product flow Wastes / Raw gas 0.056215 kg0.056215 kg
Product flow Emissions / Other substance type 0.00273 m30.00273 m3
Product flow Energy carriers and technologies / Crude oil based fuels 3.306E-5 kg3.306E-5 kg
Product flow Energy carriers and technologies / Crude oil based fuels 8.31E-6 kg8.31E-6 kg
Product flow Energy carriers and technologies / Crude oil based fuels 3.3819E-4 kg3.3819E-4 kg
Product flow Energy carriers and technologies / Crude oil based fuels 3.155E-5 kg3.155E-5 kg
Product flow Materials production / Other mineralic materials 2.83E-5 kg2.83E-5 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 0.789761837 kg0.789761837 kg
Elementary flow Emissions / Emissions to air / Emissions to air, unspecified 1.3113358E-4 kg1.3113358E-4 kg
Elementary flow Emissions / Emissions to air / Emissions to air, unspecified 2.11506693E-4 kg2.11506693E-4 kg
Waste flow Wastes / Production residues 2.7218502E-5 kg2.7218502E-5 kg