Unit process data for agricultural self-propelled equipment version 1

This document describes the preparation of datasets for the LCA Digital Commons that represent unit process/ gate-to-gate operations for the production of work (in MJ) by agricultural self-propelled equipment and fleets of agricultural self-propelled equipment. The data cover 19 types of fleets and over 200 types of self-propelled equipment datasets, representing the potential to prepare thousands of unit-process datasets by varying the operating and model years, applicable power ranges, and operating temperatures.

The key information source used for datasets development is the documentation and supporting data developed for the US Environmental Protection Agency (USEPA) NONROAD2008a model. In addition to the data and mathematical relationships described in the NONROAD documentation, data from a range of sources are used to add lubricant use and management estimates; add equipment production and storage, spare parts production, and equipment retirement estimates; estimate specific air emissions and groupings of air emissions; and add variability and uncertainty estimates.

Equipment operation models are aggregated to the state level based on typical operating temperatures in each state.

• Resource Title: LCA Digital Commons Unit Process Data- agricultural self-propelled equipment March 2014.

  File Name: LCA Digital Commons Unit Process Data- agricultural self-propelled equipment March 2014.pdf