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Details for work; ag. tractors for cotton harvest, 2014 fleet, all fuels; 100-175HP US-AZ

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Process Name work; ag. tractors for cotton harvest, 2014 fleet, all fuels; 100-175HP
Category Agriculture, forestry and fishing - ISIC 0161: Support activities for crop production
Location US-AZ
Geography Comment The unit process is assumed to represent operation in Arizona (US State).
Quantitative Reference work; ag. tractors for cotton harvest, 2014 fleet, all fuels; 100-175HP
Start Date 2014-01-01
End Date 2014-12-31
Date description Start and end dates match the equipment operating year.
Technology Description The process technologies represent the exhaust and evaporative technologies over multiple model years as described in the USEPA's NONROAD model documentation (available at http://www.epa.gov/otaq/nonrdmdl.htm). The minimum, average, and maximum operating temperatures are 10, 16, and 23 degrees C respectively, reflecting the temperatures during the harvest season for cotton in Arizona . Included processes are fuel transport, consumption, and combustion; lubricant transport, use, and waste management; equipment and spare part set production; equipment retirement; and equipment storage.


Process Type UNIT_PROCESS
Data completeness Fluids other than fuel and lubricating oil (e.g., refrigerants, transmission fluids) have not been accounted. Also, further disaggregation of air emissions is possible, but has been left for future work. Although an overall mass balance is not achieved, the carbon in the fuel and lubricating oil is balanced to relevant air emissions. An overall mass balance is not achieved because the emissions estimates based on the National Mobile Inventory Model (NMIM) are based on aggregated groups of constituents (e.g., Total Organic Gases, Non Methane Volatile Organic Compounds (NMVOCs)) that combine fuel and lubricating oil constituents with the air consumed during combustion. For these groups, the specific emissions identified in NMIM are only a portion of the basis (i.e., the breakdown of NMVOCs does not equal all of the NMVOCs).
Data treatment Data treatment is described in, Cooper et. al. “Unit process data for agricultural self-propelled equipment” University of Washington Design for Environment Laboratory, March 2014. https://data.nal.usda.gov/dataset/unit-process-data-agricultural-self-propelled-equipment. Flow data quality is presented according to the LCA Commons convention as described in Cooper, J.S., E. Kahn, Commentary on issues in data quality analysis in life cycle assessment. International Journal of Life Cycle Assessment 17(4) 499-503 (2012).
Sampling procedure Boundary conditions are defined to represent equipment operation, maintenance, production, storage, and retirement based on the expected equipment lives and annual use rates in the NONROAD documentation. Representations of uncertainty are not included in aggregate fleet datasets but can be added to cover fuel carbon mass fraction, fuel consumption, and CO2 emissions; load factors; fuel sulfur and ethanol contents; air emissions and waste management; and fuel and lubricant transport as described in Cooper et. al “Unit process data for agricultural self-propelled equipment” University of Washington Design for Environment Laboratory, March 2013. https://data.nal.usda.gov/dataset/unit-process-data-agricultural-self-propelled-equipment
Data collection period Unit process data were compiled in 2013 based on the USEPA's NONROAD model version 2008a, available at http://www.epa.gov/otaq/nonrdmdl.htm.
Reviewer LCA Commons Agricultural Equipment Peer Review Panel
Other evaluation The review panel convened during March of 2013 and January of 2014 to review data preparation methods. The panel members were Troy Hawkins (National Risk Management Research Laboratory, USEPA), Alberta Carpenter (National Renewable Energy Laboratory, USDOE), Thomas Transue (Lockheed Martin Information Technology), Wes Ingwersen (National Risk Management Research Laboratory, USEPA), and Harvey Michaels (Office of Transportation and Air Quality, USEPA).
Sources
Unit process data for agricultural self-propelled equipment version 1 Cooper et. al. (2014) “Unit process data for agricultural self-propelled equipment, Version 1” University of Washington Design for Environment Laboratory. Unpublished report. https://data.nal.usda.gov/dataset/unit-process-data-agricultural-self-propelled-equipment-version-1
Commentary on issues in data quality analysis in life cycle assessment Cooper, J.S., Kahn, E. (2012) Commentary on issues in data quality analysis in life cycle assessment
Parameterization in Life Cycle Assessment Inventory Data: review of current use and the representation of uncertainty Cooper, J.S., Noon, M., Kahn, E. (2012) Parameterization in Life Cycle Assessment Inventory Data: review of current use and the representation of uncertainty


Intended Applications These data were developed as a part of a crop production product system, for use in "Accounting" and "Micro-level decision support," situations C2 and A as described in European Commission - Joint Research Centre - Institute for Environment and Sustainablility: International Reference Life Cycle Data System (ILCD) Handbook - General guide for Life Cycle Assessment - Detailed Guidance. First edition March 2010. EUR 24708 EN. Luxembourg. Publications Office of the European Union; 2010.
Copyright Not copyrighted
Restrictions Please attribute the use of these data to the "Data Owner" and the Life Cycle Assessment Commons, National Agricultural Library. These LCA Commons data (Data) are provided by the National Agricultural Library (NAL), part of the Agricultural Research Service (ARS), U.S. Department of Agriculture (USDA). The United States Government (the Government) retains and the user acknowledges that the Government retains a non-exclusive, paid-up, irrevocable, worldwide license to publish or reproduce the published form of these data, or allow others to do so, for Government purposes. Access to and use of these Data shall impose the following obligations on the user, as set forth in this Agreement. The user is granted the right to use these Data under the terms of the Creative Commons CC0 1.0 Universal Public Domain Dedication (see Creative Commons CC0 1.0 Universals full legal code). The names USDA/ARS/NAL may not be used in any advertising or publicity to endorse or promote any products or commercial entities unless specific written permission is obtained from USDA/ARS/NAL. The user also understands that USDA/ARS/NAL is not obligated to provide the user with any support, consulting, training or assistance of any kind with regard to the use of these Data or to provide the user with any updates, revisions or new versions of these Data. YOU AGREE TO INDEMNIFY THE GOVERNMENT AND USDA/ARS/NAL, AND ITS CONTRIBUTORS, SUBSIDIARIES, AFFILIATES, OFFICERS, AGENTS, AND EMPLOYEES AGAINST ANY CLAIM OR DEMAND, INCLUDING REASONABLE ATTORNEY FEES, RELATED TO YOUR USE OF THESE DATA. THESE DATA ARE PROVIDED BY USDA/ARS/NAL AND ITS CONTRIBUTORS AS-IS AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING BUT NOT LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE GOVERNMENT OR USDA/ARS/NAL OR ITS CONTRIBUTORS BE LIABLE FOR ANY SPECIAL, INDIRECT OR CONSEQUENTIAL DAMAGES OR ANY DAMAGES WHATSOEVER, INCLUDING BUT NOT LIMITED TO CLAIMS ASSOCIATED WITH THE LOSS OF DATA OR PROFITS, WHICH MAY RESULT FROM AN ACTION IN CONTRACT, NEGLIGENCE OR OTHER TORTIOUS CLAIM THAT ARISES OUT OF OR IN CONNECTION WITH THE ACCESS, USE OR PERFORMANCE OF THESE DATA.
Data Set Owner University of Washington Design for Environment Laboratory
Data Generator Joyce Cooper
cooperjs@u.washington.edu
Publication N/A
Project Data were prepared by the University of Washington Design for Environment Laboratory for the United States Department of Agriculture National Agricultural Library under cooperative agreement number 58-8201-0-149.
Version 0
Created 2016-07-07 17:09:15.0
Quantitative Reference
work; ag. tractors for cotton harvest, 2014 fleet, all fuels; 100-175HP   1.00e+00  MJ
Output
Technosphere Flows  Elementary Flows 
Input
Technosphere Flows  Elementary Flows