What’s in the DATASMART LCI Package?
|Chemicals||Fuels||Paper & Board||Dairy products|
|Compressed air||Painting||Water use||Textiles|
U.S. Landfill Data
The landfill processes are based on extensive research and consultation with experts. These processes are modeled with full documentation, and parameterization of key data inputs. These key data inputs include landfill gas yield 0-2 years, 2-100 years and 100-500 years, landfill gas captured, flared and emitted, landfill gas oxidation rate, and electricity credit generated as a result of landfill gas capture. The model documentation includes description of the landfill gas generation model and input parameters. These input parameters can be tweaked by the user, if the data need to be customized.
Over 10 new metal processes have been added, including Beryllium, Germanium and Rheniumare. They are either European or global data. Data for the metals is obtained from Nuss and Eckleman (2014).
Natural Gas – U.S. specific data & improved mixture
U.S. natural gas data
The dataset includes U.S. natural gas from hydraulic fracturing and a new U.S. natural gas mix created based on 2010 actuals, as well as a geothermal electricity process. The U.S. electricity mix was updated using these processes.
The following processes reroute to the U.S. natural gas mix:
Natural gas, at long-distance pipeline /RER* US-EI U
Natural gas, at long-distance pipeline/CH* US-EI U
(these processes have been renamed to /US- and /US* respectively)
Improved natural gas modeling
Todd Krieger of Dupont and his team have been carefully considering the energy flows in both the US-EI and the ecoinvent libraries and have found inconsistencies in the use of higher heating values and lower heating values as the fuels move through the supply chain. In addition to working with ecoinvent to improve this consistency in ecoinvent 3, Todd provided EARTHSHIFT with his suggestions for improving the natural gas mixture in the US-EI library. We have implemented his suggestions in version 2.2.3. Other changes include a move of the fugitive emissions during the life of the well from the well itself (infrastructure) to the extracted natural gas. As a result, analysis using U.S. electricity or natural gas from the US-EI will show higher emissions than before. Many thanks to Todd and his team for their valuable contributions!
To continue fleshing out the USLCI data, the US-EI includes the natural gas at extraction site with a 23% shale gas mix.
Dry material disposal processes
The dataset includes waste treatment processes that no longer include the water content in the mass. This allows these processes to be applied directly kilogram for kilogram of dry material disposed. Waste scenarios use these new processes and reflect the latest data available from the EPA. Waste scenarios for White Goods and Electronics also exist. Additional waste types for electronics components were added and these are used in the new waste scenario.
Consumption electricity mixes are available for all 50 states.
LCA practitioners now don’t have to create a custom electricity mix or rely on the U.S. average, which can be drastically different than states where there is an increased use of nuclear or renewables. We’ve updated the U.S. electricity mix to 2011 data and added state by state electricity mixes. The electricity usage indicator was added to all new state mixes.
EARTHSHIFT participated in an algae biodiesel study with Sandia Labs a few years back. Version 2.2.3 includes the data from that study which included data from two operational facilities, one cultivating algae and the other creating diesel from algae oil. Many thanks to Sandia Labs for conducting the study and allowing the data to be made public.
Over 20 new processes for textile production have been added, including knitting, weaving, fabric dyeing, and synthetic yarn production.
Due to the extensive use of dye in many industrial processes and the lack of available data, we’ve created a system level process of the U.S. Input Output data for dyes and pigments to use as a placeholder. While this data will overestimate the impacts of dye in some cases, it may still underestimate the impacts of the most toxic dyes. More information on this process can be found in the U.S. Input Output library.
Strawberries and Milk: Dairy Data from the U.S. Dairy Greenhouse Gas Carbon Footprint project
The U.S. Dairy Association recently published data in the USDA Digital Commons for milk and cheese products. We were unable to bring this data from the Digital Commons into SimaPro, however, Greg Thoma of the University of Arkansas who did the study was kind enough to send us his SimaPro project, which is what has been implemented in the current version of the US-EI library. This version may not match the data in the Digital Commons.
As an added bonus, this dataset contains data for strawberries!
Over 10 new packaging process have been added, including recycled containerboard and corrugate and molded pulp, including YFYJupiter’s branded straw-based npulp.
For any product with a use phase, it is often an environmental hotspot. The new database includes several household activities including clothes washing and drying and dishwashing.
No More Dummy Processes
The USLCI database has been modified by entering ecoinvent proxy data into many of the dummy processes. These processes have been renamed “Proxy” and moved to a proxy folder. This version of the US-EI library contains all of the newer USLCI datasets already in SimaPro and a few of the newer ones that have yet to be included. A more detailed description of this database and its terms follows.
Detailed Description and Other Revisions
Specifically, for the USLCI Database 146 of the 186 dummy processes were replaced with ecoinvent proxies using U.S. electricity (Dummy USLCI Process Replaced with Proxy.xlsx). Some of the dummy processes were not replaced if they were not available in the ecoinvent dataset, or if they were intentionally empty because they followed the cut-off approach. For the ecoinvent dataset, all processes using electricity from Switzerland or one of the European regions (RER, UCTE, CENTREL or NORDEL) were indirectly adapted to instead use U.S. electricity. This was done by rerouting electricity production/ distribution to US electricity production/ distribution in the following processes:
Electricity, medium voltage, production UCTE, at grid/UCTE U
Electricity, low voltage, at grid/CH U
Electricity, low voltage, production UCTE, at grid/UCTE U
Electricity, medium voltage, at grid/CH U
Electricity, medium voltage, production NORDEL, at grid/NORDEL U
Electricity, high voltage, production UCTE, at grid/UCTE U
Electricity, production mix UCTE/UCTE U
Electricity, low voltage, production RER, at grid/RER U
Electricity, medium voltage, production CENTREL, at grid/CENTREL U
Electricity, low voltage, production CH, at grid/CH U
Electricity, medium voltage, production CH, at grid/CH U
Electricity, medium voltage, at grid/DE U
Process names were changed to show the US nature of the new processes:
/CH changed to /US*
/RER changed to /US-
/DE changed to /US**
Available US processes were also substituted for non-US processes in the ecoinvent datasets:
Fluosilicic acid, 22% in H2O, at plant/RER U Fluosilicic acid, 22% in H2O, at plant/US U
Soya oil/RER Soybean oil, at oil mill/US U
Grain maize IP, at farm/CH U Corn at farm/US U
Potatoes IP, at farm/CH U Potatoes, at farm/US U
Rape seed IP, at farm/CH U Rape seed, at farm/US U
Rape seed extensive, at farm/CH U Rape seed, at farm/US U
Soy beans IP, at farm/CH U Soybeans, at farm/US U
Wheat grains IP, at farm/CH U Wheat grains, at farm/US U
No other work was done to adapt the ecoinvent library, and because of geographic differences other than those modified, there is no guarantee that the resulting inventory is closer to the US reality than the original ecoinvent dataset. For additional information on the original process, see the Ecoinvent System Description.
Most materials with non-mass units have been duplicated with mass units. This allows them to be used easily in Product Stages.
Data you shouldn’t use
Some data that came with the original US-EI was not modified when the specific electricity mixes were changed, and in many cases have a strange mix of upstream processing in this context. This data has been moved to a category called Non-RNA data. If this data has been used in your projects, we suggest that you select the appropriate Ecoinvent 2.2 data in its place.
We also found that users were not consistent with the selection of which transformed process to use. To make it easier for new users, EARTHSHIFT has left a recommended process in the main folder and created an alternative folder for other data that might be used. We selected the recommended processes according to the following decision tree.:
Figure 1: Decision tree used to select data for use in the US-EI main data sets.
The decision tree was based on EARTHSHIFT’s empirical experience with US manufacturers indicating that a European average was more similar to the US condition than a particular country average and that manufacturing conditions in Germany are in general more similar to the US than in Switzerland. If this is not the case for a particular piece of data, it can still be found under a subcategory with the same name as the parent category with the word “alternative” after.
For newcomers to LCA, we recommend not using alternative data unless the user has a specific reason to.
Parameterized Semiconductor Oxidation Data
We’ve included the parameterized semiconductor oxidation process from Murphy et al.
We’ve continued to add uncertainty to data in the combined dataset. This is an ongoing process.
U.S. Fresh Water Source
All fresh water use in RNA processes has been modified to a U.S. water source that will be picked up by most of the water scarcity methods.
A number of methods, including:
The ES Method (A method found useful by many of our clients which includes indicators for human health, ecosystem quality and resources (from ReCiPe (H)), as well as climate change (from IPCC 100 year), water depletion (from ReCiPe (H)), and cumulative energy demand.)
The GPP (Global Protocol on Packaging) method
Methods found in several PCRs including: Printers (ULE), North American Concrete; and the Sustainable Apparel Coalition.
Changes specifically found in ecoinvent v2
The ecoinvent 2.2 database contains international industrial life cycle inventory data on energy supply, resource extraction, material supply, chemicals, metals, agriculture, waste management services, and transport services.
This complete library with additional EARTHSHIFT Custom Data and updates comes inclusive with the DataSmart LCI Package.
New U.S. processes added to account for exports
Some U.S. processes from the US-EI library have been added as system level processes to account for exports. As an example, the AOCC (American Old Corrugated Container) used in making recycled pulp in China uses waste corrugate imported from the U.S. The waste corrugate has been duplicated in the ecoinvent library to better account for the U.S impacts. If the user wants to better understand the supply chain of these system processes, we recommend they make a copy of the higher level process and change the link to the appropriate data in the US-EI library.
New Detergent and Water Use Processes
Some processes added to the US-EI library have been converted into European processes by substituting U.S. data with RER data. These include the detergents and water use processes.
Updated Chinese Electricity & New Processes
The Chinese electricity data has been updated to 2011. Some additional Chinese processes have been added, including tap water, at user.
More Electricity Data
Electricity mixes have been added for Taiwan, Honduras and El Salvador.
Improved Capability to Account for Electricity Usage
A newly created substance called electricity usage, found under resources, has been added to all Production + import electricity processes. Adding this resource to a method or using the new Electricity Usage method will give a good indication of total grid electricity used. A few processes pull in the grid electricity without imports and these will be missed.