摘要: |
Historically, EPA has used a combination of disparate sources of fuel property data to populate the local fuel quality database tables included in the MOVES model. These data sources, including surveys from the Alliance of Automobile Manufacturers (AAM), state and local point source sampling, and reformulated gasoline (RFG) compliance reports, have always provided a detailed snapshot of fuel qualities for a given local area at a given time. However, in reviewing the results of this approach in the context of our knowledge of national gasoline production and distribution, EPA believes that this approach over-specified the local fuel properties beyond the capabilities of the available data. We have overhauled and simplified the aggregation of fuel survey data for use in the MOVES model, as well as now including the extensive refinery gate batch dataset collected as a part of EPA compliance programs. This has had the effect of reducing the total number of unique fuel property areas from approximately 425 in MOVES2010 and its minor releasesa (hereafter referred to as MOVES2010) to approximately 45 in MOVES2014, generally representing the geographic distribution of refined products pipelines and taking into account state and local fuel programs. These fuel properties are also now projected to 2050 in MOVES2014 using estimates from the Annual Energy Outlookb,1,2) report, and includes E15 and E85 use (a large update from MOVES2010, which held fuels constant beyond 2012 and did not contain E15 fuel supplies). In doing so, we hope to have 1) clarified the source of the fuel properties 2) better represented the actual in-use fuel properties and 3) better represented the actual variation in fuel properties across different regions in the U.S. Additionally, we have included the fuel wizard tool in MOVES2014 that allows users to adjust local fuel properties using EPA refinery modeling based on the Tier 3 Motor Vehicle Emissions and Fuel Standards rulemaking.3 With this tool, states and local areas can streamline the process to analyze potential fuel control programs, such as RVP, by taking into account the changes to other fuel properties that would occur with these programs. |