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

Key Data Set Information
Location HEB-CN
Reference year 2019
Name
Electricity production ; Thermal power ; Hebei
Use advice for data set Users should adopt this data with caution, considering only the direct power generation emissions while excluding upstream and downstream processes. The accounting method for greenhouse gas emissions needs to reference the 'Enterprise Greenhouse Gas Emissions Accounting Methods and Reporting Guidelines for Power Generation Facilities.' Users should correlate the consumption of different fossil fuel forms with the power generated, as outlined in Chapter 3 (Energy Production) and Chapter 6 (Regional Energy Balance Sheet) of the 'China Energy Statistical Yearbook 2020.' Fuel parameters like low calorific value and carbon content per unit of heat must be calculated based on '2019 China Regional Power Grid Carbon Dioxide Baseline Emission Factor Calculation Instructions OM.' Ensure that proper regional parameters are applied to maintain data accuracy and relevance.
Technical purpose of product or process The data set describes the application of thermal power generation in Hebei province, which utilizes multiple fossil fuels, including raw coal, washed coal, oil, and natural gas, to generate electricity. This process is specifically focused on the generation of electricity and does not encompass upstream activities related to raw material extraction and processing, nor downstream activities such as power consumption by end-users. It is relevant for the evaluation of direct emissions of greenhouse gases associated with electricity generation facilities.
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) 2024-03-28T01:08:20+08:00
Publication and ownership
UUID 7556790a-8093-43b1-bc30-e70cc1ebd02c
Date of last revision 2024-04-20T15:10:47.779476+08:00
Data set version 00.01.005
Permanent data set URI https://lcadata.tiangong.world/showProcess.xhtml?uuid=7556790a-8093-43b1-bc30-e70cc1ebd02c&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 0.328252 kg0.328252 kg
Product flow Energy carriers and technologies / Hard coal based fuels 0.00882072 kg0.00882072 kg
Product flow Energy carriers and technologies / Hard coal based fuels 0.01096896 kg0.01096896 kg
Product flow Energy carriers and technologies / Hard coal based fuels 0.007217 kg0.007217 kg
Product flow Wastes / Raw gas 0.382394 kg0.382394 kg
Product flow Emissions / Other substance type 0.045697 m30.045697 m3
Product flow Energy carriers and technologies / Crude oil based fuels 3.556E-5 kg3.556E-5 kg
Product flow Energy carriers and technologies / Crude oil based fuels 1.06E-6 kg1.06E-6 kg
Product flow Energy carriers and technologies / Crude oil based fuels 3.87E-6 kg3.87E-6 kg
Product flow Energy carriers and technologies / Crude oil based fuels 5.492E-5 kg5.492E-5 kg
Product flow Materials production / Other mineralic materials 2.78E-4 kg2.78E-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 1.018238042 kg1.018238042 kg
Elementary flow Emissions / Emissions to air / Emissions to air, unspecified 1.5233750099999998E-4 kg1.5233750099999998E-4 kg
Elementary flow Emissions / Emissions to air / Emissions to air, unspecified 2.6058171699999997E-4 kg2.6058171699999997E-4 kg
Waste flow Wastes / Production residues 3.8060286999999997E-5 kg3.8060286999999997E-5 kg