| Key Data Set Information | |
| Location | GZ-CN |
| Reference year | 2019 |
| Name |
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| Use advice for data set | When utilizing this data set for Life Cycle Assessment (LCA), attention must be paid to the boundaries of the included processes. This data set should not be used to calculate impacts related to the extraction and processing of raw materials or downstream usage of electricity. It is tailored for modeling the direct emissions and resource usage associated with thermal power generation only. For methodological consistency, the users should refer to the specified accounting methods in the 'Enterprise Greenhouse Gas Emissions Accounting Methods and Reporting Guidelines for Power Generation Facilities'. Ensure that the energy statistics and emission factors applied are congruent with the 2019 Energy Statistics Yearbook and other referenced Chinese guidelines. Future updates to the methodological guidelines and energy statistics should be considered for maintaining accurate and current LCA results. |
| Technical purpose of product or process | This industrial process of thermal power generation in Guizhou is used for the production of electricity utilizing a variety of fossil fuels such as raw coal, washed coal, oil, and natural gas. As a part of the energy sector, it serves as a source of electric power for residential, commercial, and industrial purposes. The data set represents only the direct power generation aspect, meaning it is specifically relevant for assessments of the direct environmental impacts of electricity generation without considering upstream mining and processing of raw materials or downstream electricity consumption by end-users. |
| Classification |
Class name
:
Hierarchy level
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| 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) |
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| 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 | |||||
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| Data generator | |
| Data set generator / modeller | |
| Data entry by | |
| Time stamp (last saved) | 2024-03-28T01:32:22+08:00 |
| Publication and ownership | |
| UUID | fff1ea03-589a-46a5-a56e-270f7d0dd581 |
| Date of last revision | 2024-04-20T15:10:47.915949+08:00 |
| Data set version | 00.01.005 |
| Permanent data set URI | https://lcadata.tiangong.world/showProcess.xhtml?uuid=fff1ea03-589a-46a5-a56e-270f7d0dd581&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 | 0.329966 kg | 0.329966 kg | ||||
| Product flow | Energy carriers and technologies / Hard coal based fuels | 0.162252 kg | 0.162252 kg | ||||
| Product flow | Energy carriers and technologies / Hard coal based fuels | 0.00747476 kg | 0.00747476 kg | ||||
| Product flow | Energy carriers and technologies / Hard coal based fuels | 0.001468 kg | 0.001468 kg | ||||
| Product flow | Wastes / Raw gas | 0.01345 kg | 0.01345 kg | ||||
| Product flow | Emissions / Other substance type | 0.001166 m3 | 0.001166 m3 | ||||
| Product flow | Energy carriers and technologies / Crude oil based fuels | 1.9214E-4 kg | 1.9214E-4 kg | ||||
| Product flow | Materials production / Other mineralic materials | 0.002511 kg | 0.002511 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 MJ | 3.6 MJ | ||||
| Elementary flow | Emissions / Emissions to air / Emissions to air, unspecified | 0.752153 kg | 0.752153 kg | ||||
| Elementary flow | Emissions / Emissions to air / Emissions to air, unspecified | 1.6113E-4 kg | 1.6113E-4 kg | ||||
| Elementary flow | Emissions / Emissions to air / Emissions to air, unspecified | 2.53818E-4 kg | 2.53818E-4 kg | ||||
| Waste flow | Wastes / Production residues | 3.0899E-5 kg | 3.0899E-5 kg |