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Initial Assessment of U.S. Refineries for Purposes of Potential Bio-Based Oil Insertions

Description: This study examines how existing U.S. refining infrastructure matches in geography and processing capability with the needs projected from anticipated biofuels production. Key findings include:  a potential shortfall in both overall hydrotreating capacity and hydrogen production capacity in refineries to manage the conversion of certain bio-derived feedstocks having high oxygen contents;  a regional concentration of anticipated biofuel resources, placing added stress in particular refining regions (e.g. the Gulf Coast);  uncertainties surrounding the impact of bio-derived fuel intermediates on the refiner’s ability to meet product performance and product quantity demands, and the need for better and more comprehensive chemical composition information;  the need for considerably more data and experience on the behavior of projected biofuels feedstocks in refining processes (e.g. impacts on process performance and reliability);  and the need to examine the optimum capital investment locations for additional processing equipment. For example, whether it is better to further refine biofuels at the new production sites, in centralized biofuel "depots", or whether the existing refining facilities should be expanded to better handle a more 'raw' biofuel.
Date: April 25, 2013
Creator: Freeman, Charles J.; Jones, Susanne B.; Padmaperuma, Asanga B.; Santosa, Daniel M.; Valkenburg, Corinne & Shinn, John
Partner: UNT Libraries Government Documents Department

Annual Report: Carbon Capture Simulation Initiative (CCSI) (30 September 2013)

Description: The Carbon Capture Simulation Initiative (CCSI) is a partnership among national laboratories, industry and academic institutions that is developing and deploying state-of-the-art computational modeling and simulation tools to accelerate the commercialization of carbon capture technologies from discovery to development, demonstration, and ultimately the widespread deployment to hundreds of power plants. The CCSI Toolset will provide end users in industry with a comprehensive, integrated suite of scientifically validated models, with uncertainty quantification (UQ), optimization, risk analysis and decision making capabilities. The CCSI Toolset incorporates commercial and open-source software currently in use by industry and is also developing new software tools as necessary to fill technology gaps identified during execution of the project. Ultimately, the CCSI Toolset will (1) enable promising concepts to be more quickly identified through rapid computational screening of devices and processes; (2) reduce the time to design and troubleshoot new devices and processes; (3) quantify the technical risk in taking technology from laboratory-scale to commercial-scale; and (4) stabilize deployment costs more quickly by replacing some of the physical operational tests with virtual power plant simulations. CCSI is led by the National Energy Technology Laboratory (NETL) and leverages the Department of Energy (DOE) national laboratories’ core strengths in modeling and simulation, bringing together the best capabilities at NETL, Los Alamos National Laboratory (LANL), Lawrence Berkeley National Laboratory (LBNL), Lawrence Livermore National Laboratory (LLNL), and Pacific Northwest National Laboratory (PNNL). The CCSI’s industrial partners provide representation from the power generation industry, equipment manufacturers, technology providers and engineering and construction firms. The CCSI’s academic participants (Carnegie Mellon University, Princeton University, West Virginia University, Boston University and the University of Texas at Austin) bring unparalleled expertise in multiphase flow reactors, combustion, process synthesis and optimization, planning and scheduling, and process control techniques for energy processes. During Fiscal Year (FY) 13, CCSI announced ...
Date: March 5, 2014
Creator: Miller, David C; Syamlal, Madhava; Cottrell, Roger; Kress, Joel D; Sundaresan, S; Sun, Xin et al.
Partner: UNT Libraries Government Documents Department