ESU-services
Summary | ||
Name of source | ESU-services data-on-demand LCIA | |
Provider | ESU-services Ltd. | |
Summary text | A database in the sectors of energy, basic minerals, materials, food and lifestyles, consisting of ca. 4,000 unit process datasets, of which about 1000 have been included in ecoinvent. | |
Contact | Niels Jungbluth (+41 44 940 61 32), jungbluth@esu-services.ch skype:niels.jungbluth | |
Licensing | Fee (€160 per system data set; €240 per unit process raw data) | |
Language(s) | English, German and French | |
Website | http://www.esu-services.ch/data/data-on-demand/ |
Access – data formats and accessibility | ||
File type | Excel, xml files and EcoSpold, SimaPro, csv. and other formats on request | |
Software needs | SimaPro, Umberto, GaBi and other software tools which can import EcoSpold v1 |
Contents – breadth and depth of datasets | ||
Age | 2000-present | |
Geography | Global, Europe, Switzerland | |
Original Data Source(s) | Collaboration with companies and producers, Industry statistics, Other LCA databases, Academic research, Environmental Reports | |
Other Databases Included | ESU data are built on ecoinvent v2.2 methodology and background data | |
Life cycle stages | Unit processes for different life cycle stages or system processes with cumulative data | |
Modeling approach | Attribution ISO conform | |
Emissions results | Total CO2e, separate GHGs, other environmental indicators | |
Number of datasets | Ca. 4,000 | |
Main topics | Energy carriers and technologies; Agriculture, Food and renewable raw materials; Consumer goods, consumer activities, Agricultural production means; Bioenergy, Metals and semimetals; Organic chemicals; Inorganic chemicals, Textiles, tourism, household | |
Other topics | Other systems |
Data transparency – what metadata is provided for each dataset? | ||
System boundaries | Gate to gate, cradle to grave | |
Data Types | Unit processes, system processes, cumulative LCIA results | |
Allocation Methods | Case specific according to ISO 14040 hierarchy (no system expansion) | |
Technology | Described for each single unit process dataset | |
Data year | Provided for each single unit process dataset | |
Original source | Described for each single unit process dataset | |
Uncertainty | Pedigree Matrix or uncertainty assessed from range of data sources, Monte-Carlo simulation is possible |
Quality – is information provided on data quality? | ||
Data quality score | Pedigree Matrix for each input and output | |
Quality assurance | Internal validation, steady use in projects with external partners | |
Standards compliant | ISO 14040, 14067, WRI, PAS 2050 and others |