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Process Data set: Corn-based ethanol production ; Ethanol ; Fermentation ; Corn (en) en zh

Key Data Set Information
Location GX-CN
Geographical representativeness description Data related to the operation process (e.g., electricity, steam, water, chemicals, raw material consumption, and direct emissions) from the cassava-based ethanol and corn-based ethylene production plants in the Guangxi and Anhui Provinces in China were used [20], [21].
Name
Corn-based ethanol production ; Ethanol ; Fermentation ; Corn
Use advice for data set When using this dataset for life cycle assessments, users should note that the data includes inputs and outputs related to the corn-based ethanol production process intended for ethylene synthesis. This includes the consumption of raw materials, energy use, and emissions from various stages such as cultivation, drying, transport, and waste treatment. Co-product allocation has been performed based on product mass. The functional unit for the analysis is defined as the production of 1.7 tonnes of ethanol. For application consistency, users should ensure that conditions of the study align with their assessment goals—particularly in geographic and technological contexts. Imported data from references or other regions (e.g., European chemical production data) may not accurately reflect local practices in China and should be used with caution.
Technical purpose of product or process The collected data pertains to corn-based ethanol production which is utilized primarily for the production of ethylene. Ethylene produced from this process is vital for various industrial applications, including the synthesis of polymers, chemicals, and as a precursor in the production of plastics, detergents, and other organic compounds. The process detailed in this dataset specifically evaluates the production scenarios by utilizing corn stover, with a primary focus on the fermentation phase to derive ethanol, a key intermediate in ethylene synthesis.
Classification
Class name : Hierarchy level
  • ILCD: Energy carriers and technologies / Renewable fuels
General comment on data set Two alternative ethanol production scenarios, corn-based and cassava-based, were tested for ethylene production.
Copyright No
Owner of data set
Quantitative reference
Reference flow(s)
Functional Unit The functional unit is 1.7 tonne of ethanol production.
Technological representativeness
Technology description including background system Processes included in present study are summarized as follows:1) Corn and cassava production at farm; 2) Ethanol and ethylene production.
Flow diagram(s) or picture(s)
  • SIicbmOoLoN7YWxcdulcRuqzn0c.png Image
LCI method and allocation
Type of data set Unit process, single operation
LCI Method Principle Attributional
Deviation from LCI method principle / explanations None
LCI method approaches
  • Allocation - mass
Deviations from LCI method approaches / explanations Co-product allocation based on product mass was performed.
Deviation from modelling constants / explanations None
Data sources, treatment and representativeness
Deviation from data cut-off and completeness principles / explanations None
Data selection and combination principles Data related to the operation process (e.g., electricity, steam, water, chemicals, raw material consumption, and direct emissions) from the cassava-based ethanol and corn-based ethylene production plants in the Guangxi and Anhui Provinces in China were used.2. The data related to corn and cassava production at farms, coal-based electricity generation, and road transport processes were taken from the references.3. Moreover, data on chemical production and relevant background data from Europe were used [26] because of the lack of information for China.
Deviation from data selection and combination principles / explanations None
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) 2024-03-28T20:17:47+08:00
Publication and ownership
UUID df8e2324-d057-497c-ba5e-7a474abd3bf2
Date of last revision 2024-05-13T15:04:36.051562+08:00
Data set version 01.00.005
Permanent data set URI https://lcadata.tiangong.world/showProcess.xhtml?uuid=df8e2324-d057-497c-ba5e-7a474abd3bf2&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 Materials production / Agricultural production means 5400.0 kg5400.0 kg
Product flow Materials production / Other materials 3.8 kg3.8 kg
Product flow Materials production / Inorganic chemicals 18.3 kg18.3 kg
Product flow Materials production / Organic chemicals 4.97 kg4.97 kg
Product flow Materials production / Inorganic chemicals 1.8 kg1.8 kg
Product flow Materials production / Inorganic chemicals 1.6 kg1.6 kg
Product flow Materials production / Inorganic chemicals 9.3 kg9.3 kg
Elementary flow Resources / Resources from ground / Non-renewable material resources from ground 0.9 kg0.9 kg
Product flow Materials production / Inorganic chemicals 31.4 kg31.4 kg
Product flow Materials production / Organic chemicals 4.8 kg4.8 kg
Product flow Materials production / Inorganic chemicals 0.96 kg0.96 kg
Elementary flow Resources / Resources from water / Renewable material resources from water 48800.0 m348800.0 m3
Product flow Energy carriers and technologies / Heat and steam 6960.0 MJ6960.0 MJ
Product flow Energy carriers and technologies / Electricity 2580.84 MJ2580.84 MJ

Outputs

Type of flow Classification Flow Location Mean amount Resulting amount Minimum amount Maximum amount
Product flow Materials production / Organic chemicals 1700.0 kg1700.0 kg
Product flow Materials production / Organic chemicals 1740.0 kg1740.0 kg