Determination of the applicability of CERCLA's petroleum exclusion at contaminated sites – focus on metals
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Areas impacted by petroleum refining and handling operations may become subject to CERCLA enforcement. Because of CERCLA's petroleum exclusion clause, determining whether contamination in a CERCLA Site originated from petroleum products or hazardous wastes becomes important. Because certain metals are typically enriched in wastes relative to petroleum products and background soils, knowledge of metal contents in these potential end member metal sources is an important step towards contaminant source identification in soils and sediments. In LNAPL plumes, metal content, particularly lead, may be claimed to be the result of wastes mishandling and not due only to the presence of leaded gasoline in the plume. Analysis of the percent gasoline in the plume and accounting for weathering are steps to determining whether the lead content in an LNAPL plume is within the historical lead concentration ranges in gasolines. In addition to metals analyses, understanding of operational parameters such as the history of petroleum refining and handling operations, leaks, spills, and cleanup activities are needed for successful conclusion of the applicability of the petroleum exclusion.Keywords:
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in order to foster better understanding of the petroleum refining and marketing industry and the effects of certain policies and regulations. The PMM simulates the operation of petroleum refineries in the United States, including the supply and transportation of crude oil to refineries, the regional processing of these raw materials into petroleum products, and the distribution of petroleum products to meet regional demands. The essential outputs of this model are product prices, a petroleum supply/demand balance, demands for refinery fuel use, and capacity expansion.
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Evaluation of life-cycle (or well-to-wheels, WTW) energy and emission impacts of vehicle/fuel systems requires energy use (or energy efficiencies) of energy processing or conversion activities. In most such studies, petroleum fuels are included. Thus, determining the energy efficiencies of petroleum refineries becomes a necessary step for life-cycle analyses (LCAs) of vehicle/fuel systems. Energy efficiencies of petroleum refineries can then be used to determine the total amount of process energy used for refinery operation. Furthermore, because refineries produce multiple products, the allocation of energy use and the emissions associated with petroleum refineries to various petroleum products is needed to perform WTW analysis of individual fuels, such as gasoline and diesel.
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Generalized nets (GNs) are a suitable tool for the modeling of parallel processes. Through them, it is possible to describe the functioning and results of the performance of complex real processes running in time. In a series of articles, we consistently describe the main processes involved in the production of petroleum products taking place in an oil refinery. The GN models can be used to track the actual processes in the oil refinery in order to monitor them, make decisions in case of changes in the environment, optimize some of the process components, and plan future actions. This study models the heavy oil production process in a refinery using the toolkit of GNs. Five processing units producing ten heavy-oil-refined products in an amount of 106.5 t/h from 443 t/h atmospheric residue feed, their blending, pipelines, and a tank farm devoted to storage of finished products consisting of three grades of fuel oil (very low sulfur fuel oil (0.5%S) —3.4 t/h; low sulfur fuel oil (1.0%S) —4.2 t/h; and high sulfur fuel oil (2.5%S) —66.9 t/h), and two grades of road pavement bitumen (bitumen 50/70 —30 t/h and bitumen 70/100 —2 t/h) are modeled in a GN medium. This study completes the process of modeling petroleum product production in an oil refinery using GNs. In this way, it becomes possible to construct a highly hierarchical model that incorporates the models already created for the production of individual petroleum products into a single entity, which allows for a comprehensive analysis of the refinery’s operations and decision making concerning the influence of various factors such as disruptions in the feedstock supply, the occurrence of unplanned shutdowns, optimization of the production process, etc.
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Evaluation of life-cycle (or well-to-wheels, WTW) energy and emission impacts of vehicle/fuel systems requires energy use (or energy efficiencies) of energy processing or conversion activities. In most such studies, petroleum fuels are included. Thus, determination of energy efficiencies of petroleum refineries becomes a necessary step for life-cycle analyses of vehicle/fuel systems. Petroleum refinery energy efficiencies can then be used to determine the total amount of process energy use for refinery operation. Furthermore, since refineries produce multiple products, allocation of energy use and emissions associated with petroleum refineries to various petroleum products is needed for WTW analysis of individual fuels such as gasoline and diesel. In particular, GREET, the life-cycle model developed at Argonne National Laboratory with DOE sponsorship, compares energy use and emissions of various transportation fuels including gasoline and diesel. Energy use in petroleum refineries is key components of well-to-pump (WTP) energy use and emissions of gasoline and diesel. In GREET, petroleum refinery overall energy efficiencies are used to determine petroleum product specific energy efficiencies. Argonne has developed petroleum refining efficiencies from LP simulations of petroleum refineries and EIA survey data of petroleum refineries up to 2006 (see Wang, 2008). This memo documents Argonne's most recent update of petroleum refining efficiencies.
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This trend is also typical of other refineries of the country. Meanwhile, the promising oil production regions (West and East Siberia, Mangyshlak, etc.) are characterized by a relatively low demity of consumers of petroleum products. The net result of the interaction between these two tendencies is a considerable breakdown of the previons specialization of refineries in the me of crudes from nearby fields; instead, the refineries have in essence become consumers of mixtures of various crudes that are pipelined from various oil fields. However, the growing inconstancy in quality of refinery-deliver ed crude oil cannot be explained solely on the basis of the increase in number of types of crude used in processing. To a still greater degree, the variations in crude oil quality are determined by the fact that each type of crude oil actually includes crudes from a large group of fields with very substantial differences in physical and chemical properties. In this connection, the data on the Ufa refineries are quite characteristic. During 19701 crude oil entering the branch laboratory of the NovoUfa Petroleum Refinery represented a mixture of seven different types, consisting of crudes from 23 fields; for the Ufa petroleum Refinery, there were eight types of crudes from 18 fields; and for the Twenty-second Party Congress Ufa Petroleum Refinery, seven types from 23 fields. The physicochemical properties of the crudes entering the refineries showed the following ranges of variation:
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Evaluation of life-cycle (or well-to-wheels, WTW) energy and emission impacts of vehicle/fuel systems requires energy use (or energy efficiencies) of energy processing or conversion activities. In most such studies, petroleum fuels are included. Thus, determination of energy efficiencies of petroleum refineries becomes a necessary step for life-cycle analyses of vehicle/fuel systems. Petroleum refinery energy efficiencies can then be used to determine the total amount of process energy use for refinery operation. Furthermore, since refineries produce multiple products, allocation of energy use and emissions associated with petroleum refineries to various petroleum products is needed for WTW analysis of individual fuels such as gasoline and diesel.
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