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Multitude Characterization and Prediction of DOE Advanced Biofuels Properties

Technical Report ·
DOI:https://doi.org/10.2172/1807468· OSTI ID:1807468
 [1]
  1. Univ. of Central Florida, Orlando, FL (United States); University of Central Florida
Advanced multitude of experiments ranging from the liquid fuel to combustion are conducted on Co-OPTIMA fuels to aid the characterization of the fuels. The series of targeted experiments characterized Co-OPTIMA fuel spray atomization, flame topology, flame speed, autoignition, volatility, viscosity, soot/coking, and compatibility. The fuels are selected and prioritized based on input from national lab members. The research characterized and predicted biomass-based, low greenhouse gas fuels and blends combustion, autoignition, and physical properties of mixtures of identified compounds at engine-relevant conditions, in particular those properties that blend non-linearly. The main challenge of Co-OPTIMA is the evaluation of a variety of biofuels and blends in all the reaction conditions that might be encountered in new high-efficiency engines. Despite the improved high-throughput experimental techniques, it seems unlikely that all of the performance metrics could be measured for all relevant petroleum derived, bio-derived molecules and mixtures, and reaction conditions. A series of targeted experiments ranging from the liquid fuel to the combustion process is required, and to extract the maximum information from each experiment. These targeted experiments evaluated how a specific fuel will perform in an engine. The series of targeted experiments are as follows:
(a) Spray Atomization, Vaporization and Droplet Formation
(b) Combustion Flame and Local Fuel/Air Image-Based Measurements
(c) Laminar Flame Speed Measurements
(d) Autoignition and Soot Measurements
(e) Synchrotron Coupled Fundamental Autoignition Experiments
(f) Fuel Coking and Hot Surface Deposit
g) Fuel Volatility Measurements
(h) Viscosity Measurements
(i) Seal Flexible Fuel Compatibility
These experimental processes provide an essential pathway for the prediction of fuel behaviors in engines and systematic process for fuel down select.
Research Organization:
Univ. of Central Florida, Orlando, FL (United States)
Sponsoring Organization:
USDOE Office of Energy Efficiency and Renewable Energy (EERE), Transportation Office. Bioenergy Technologies Office
DOE Contract Number:
EE0007984
OSTI ID:
1807468
Report Number(s):
Final Report
Country of Publication:
United States
Language:
English

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