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. Resources in this dataset: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

本文件详述了为LCA数字共享平台准备数据集的过程，这些数据集代表了农业自行推进设备及其编队作业的单元过程/门到门操作所产生的工作量（以兆焦耳计）。数据涵盖了19种编队类型及200余种自行推进设备数据集，通过调整操作年份、适用功率范围和操作温度，具备构建数千个单元过程数据集的潜力。数据集开发的关键信息来源为美国环境保护署（USEPA）为NONROAD2008a模型所编制的文档及支持数据。除了NONROAD文档中描述的数据和数学关系外，还利用了多种来源的数据，以添加润滑剂使用与管理估算；计入设备生产与储存、备件生产及设备退役估算；估算特定空气排放及空气排放分组；以及添加变异性与不确定性估算。设备操作模型根据各州的典型操作温度汇总至州级。本数据集资源包括：资源标题：LCA数字共享平台单元过程数据-农业自行推进设备，发布时间：2014年3月。文件名称：LCA数字共享平台单元过程数据-农业自行推进设备 March 2014.pdf