Close Go back Collapse all sections
Process Data set: Adipic acid; from cyclohexane; production mix, at factory (en) en

A more recent version of this data set exists in the database.

Most recent version of this data set:09.00.000

Key Data Set Information
Location MY
Geographical representativeness description The material and energy consumption is based on global or European data. For the supply of energy and intermediate products Malaysian specific boundary conditions are used.
Reference year 2005
Name
Base name ; Treatment, standards, routes ; Mix and location types
Adipic acid; from cyclohexane; production mix, at factory
Use advice for data set The data set represents a cradle to gate inventory. It can be used to characterise the supply chain situation of the respective commodity in a representative manner. Combination with individual unit processes using this commodity enables the generation of user-specific (product) LCAs.
Technical purpose of product or process Adipic acid as an intermediate to produce e.g. nylon.
Classification
Class name : Hierarchy level
  • GaBiCategories: Materials / Organic chemicals
General comment on data set The data set covers all relevant process steps / technologies over the supply chain of the represented cradle to gate inventory with a good overall data quality. The inventory is mainly based on industry data and is completed, where necessary, by secondary data.
Copyright Yes
Owner of data set
Quantitative reference
Reference flow(s)
Time representativeness
Data set valid until 2012
Time representativeness description Annual average
Technological representativeness
Technology description including background system Cyclohexane is oxidised to cyclohexylperoxide in a liquid-phase reaction with cobalt naphthenate as catalyst. In a peroxide converter the product is converted to a mixture of cyclohexanone and cyclohecanol (ketone alcohol oil = KA oil). It is washed with caustic soda and then treated with sulphuric acid to recover carboxylic acids as byproducts. Unreacted cyclohexane is distilled off and recycled. The KA oil is purified by evaporation and then oxidised with nitric acid at 70 °C and 1 atm to adipic acid. Nitric acid is partially recycled while crude adipic acid is purified by crystallization, centrifuging and washing. The background system is addressed as follows: Electricity, Thermal energy: The electricity (and thermal energy as by-product) used is modelled according to the individual country-specific situation. The country-specific modelling is achieved on multiple levels. Firstly the individual power plants in service are modelled according to the current national grid. This includes net losses and imported electricity. Second, the national emission and efficiency standards of the power plants are modelled. Third, the country-specific fuel supply (share of resources used, by import and / or domestic supply) including the country-specific properties (e.g. element and energy contents) are accounted for. Fourth, the import, transport, mining and exploration processes for the energy carrier supply chain are modelled according to the specific situation of each power-producing country. The different mining and exploration techniques (emissions and efficiencies) in the different exploration countries are accounted for according to current engineering knowledge and information. Steam: The steam supply is modelled according to the individual country-specific situation with regard to the technology efficiencies and energy carriers used. Efficiencies range from 84% to 94% in relation to the representative energy carrier (gas, oil, coal). Coal, crude oil and natural gas used for the generation of steam are modelled according to the specific import situation (see electricity). Transports: All relevant and known transport processes used are included. Overseas transport including rail and truck transport to and from major ports for imported bulk resources are included. Furthermore all relevant and known pipeline and / or tanker transport of gases and oil imports are included. Energy carriers: Coal, crude oil, natural gas and uranium are modelled according to the specific import situation (see electricity). Refinery products: Diesel, gasoline, technical gases, fuel oils, basic oils and residues such as bitumen are modelled via a country-specific, refinery parameterized model. The refinery model represents the current national standard in refinery techniques (e.g. emission level, internal energy consumption,...) as well as the individual country-specific product output spectrum, which can be quite different from country to country. Hence the refinery products used show the individual country-specific use of resources. The supply of crude oil is modelled, again, according to the country-specific crude oil situation with the respective properties of the resources.
Included data sets
Flow diagram(s) or picture(s)
  • PE_LBP-GaBi_Intermediates_adipic acid_72386c75-affd-11dd-ad8b-0800200c9a66.JPG Image
LCI method and allocation
Type of data set LCI result
LCI Method Principle Attributional
Deviation from LCI method principle / explanations None
LCI method approaches
  • Allocation - mass
  • Allocation - market value
  • Allocation - net calorific value
  • Allocation - exergetic content
Deviations from LCI method approaches / explanations For the production of benzene needed for the production of cyclohexane, allocation by net calorific value is applied. For the combined heat and power production, allocation by exergetic content was applied. For the electricity generation and by-products, e.g. gypsum, allocation by market value was applied due to no common physical properties. Within the refinery, allocation by net calorific value and mass was applied. For the combined crude oil, natural gas and natural gas liquids production, allocation by net calorific value was applied.
Modelling constants All data used in the calculation of the LCI results refer to net calorific value.
Deviation from modelling constants / explanations None
LCA methodology report
Data sources, treatment and representativeness
Data cut-off and completeness principles Cut-off rules for each unit process: Coverage of at least 95 % of mass and energy of the input and output flows, and 98 % of their environmental relevance (according to expert judgement).
Deviation from data cut-off and completeness principles / explanations None
Data selection and combination principles The data sources for the complete product system are sufficiently constant. Data for energy, intermediates and auxiliary consumption are based on measured operating data from literature and other literature data.
Deviation from data selection and combination principles / explanations None
Data treatment and extrapolations principles Malaysian conditions for power and thermal energy supply were used based on statistics and technology specific data to represent the specific country conditions. Consumption data (energy and materials) of the production mixes are based on technology specific documents representing a global average or European conditions. For the production of intermediates the same principles were applied.
Deviation from data treatment and extrapolations principles / explanations None
Documentation of data quality management
Data source(s) used for this data set
Percentage supply or production covered 100.0 %
Completeness
Completeness of product model All relevant flows quantified
Validation
Type of review Scope / Method(s) of review
Dependent internal review
Scope name Method name
Documentation
  • Compliance with ISO 14040 to 14044
  • Expert judgement
Unit process(es), single operation
  • Energy balance
  • Expert judgement
  • Cross-check with other source
  • Mass balance
  • Cross-check with other data set
  • Compliance with ISO 14040 to 14044
LCI results or Partly terminated system
  • Energy balance
  • Expert judgement
  • Mass balance
  • Cross-check with other data set
  • Element balance
  • Compliance with ISO 14040 to 14044
Life cycle inventory methods
  • Compliance with ISO 14040 to 14044
LCIA results
  • Expert judgement
  • Cross-check with other source
  • Cross-check with other data set
Raw data
  • Expert judgement
  • Cross-check with other source
Reviewer name and institution
Compliance Declarations
Compliance
Compliance system name
Approval of overall compliance
Fully compliant
Nomenclature compliance
Fully compliant
Methodological compliance
Fully compliant
Review compliance
Fully compliant
Documentation compliance
Fully compliant
Quality compliance
Fully compliant
Commissioner and goal
Commissioner of data set
Intended applications This background LCI data set can be used for any types of LCA studies.
Data generator
Data set generator / modeller
Data entry by
Time stamp (last saved) 2009-03-29T22:37:33+08:00
Data set format(s)
Data entry by
Official approval of data set by producer/operator
Publication and ownership
UUID 8f95d603-9641-4c53-8bc4-7ff8cd5ec6e9
Date of last revision 2009-03-29T22:37:33+08:00
Data set version 00.00.000
Workflow and publication status Data set finalised; entirely published
Unchanged re-publication of
Owner of data set
Copyright Yes
License type Other
Access and use restrictions The data set can be used free of charge by anybody to perform LCA studies, to distribute it to third parties, to convert it to other formats, to develop own data sets etc. as long as the copyright and license conditions for the data sets of the Malaysian Life Cycle Inventory Database and the ILCD format are met that can be accessed via http://lca.jrc.ec.europa.eu. Please note e.g. that reference must be given to the 'Owner of data set' and to the 'Malaysian Life Cycle Inventory Database' plus version number, when using the data set or parts thereof. Please note also, that any modifications/omissions of the data set results in invalidity of any existing 'Official approval of data set by producer/operator', that the impression must be avoided that this would still be a complete data set of the Malaysian Life Cycle Inventory Database, and that the content of further fields has to be adjusted. For details see the aforementioned copyright and license conditions.
Access to the data set is restricted to metadata only. Ask the provider to get full access to the data set.