Abstract
Process-specific energy use and CO 2 emissions for petroleum refineries are not publically available, and may not even be adequately or accurately measured; making it difficult to understand current or to predict future refining energy requirements and emissions. A tool for estimating individual process energy requirements and emissions as a function of varying feedstocks, products, and processing would be useful to policy makers and researchers focused on improving energy efficiency and reducing emissions. JM Energy Consulting has developed such a modeling tool to support a Lawrence Berkley National Laboratory (LBNL) project aimed at estimating costs and benefits of energy-efficiency improvements in the US refining sector. To demonstrate the robustness of the method, refinery CO 2 emissions were estimated and allocated to the various refinery intermediate streams that are blended into gasoline and distillate fuels. In addition, a methodology for handling the variation between US refineries is under development. Data compiled on energy use will be used to update and tune the refinery model to match government-collected aggregate energy consumption in the industry. A final report on this analysis should be available from LBNL by late 2012. This is an abstract of a paper presented at the 2012 AIChE Spring Meeting and 8th Global Congress on Process Safety (Houston, TX 4/1-5/2012).
Original language | English (US) |
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Title of host publication | 12AIChE - 2012 AIChE Spring Meeting and 8th Global Congress on Process Safety, Conference Proceedings |
State | Published - May 29 2012 |
Event | 2012 AIChE Spring Meeting and 8th Global Congress on Process Safety, 12AIChE - Houston, TX, United States Duration: Apr 1 2012 → Apr 5 2012 |
Other
Other | 2012 AIChE Spring Meeting and 8th Global Congress on Process Safety, 12AIChE |
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Country/Territory | United States |
City | Houston, TX |
Period | 4/1/12 → 4/5/12 |
ASJC Scopus subject areas
- General Chemical Engineering
- General Chemistry
- Safety, Risk, Reliability and Quality