Research Papers: Gas Turbines: Combustion, Fuels, and Emissions

Second-Law Heat Release Modeling of a Compression Ignition Engine Fueled With Blends of Palm Biodiesel

[+] Author and Article Information
Jonathan Mattson

Department of Mechanical Engineering,
University of Kansas,
1530 West 15th Street,
Lawrence, KS 66044
e-mail: jmattson@ku.edu

Evan Reznicek

Department of Mechanical Engineering,
Colorado School of Mines,
1610 Illinois Street,
Golden, CO 80401
e-mail: ereznice@mines.edu

Christopher Depcik

Department of Mechanical Engineering,
University of Kansas,
1530 West 15th Street,
Lawrence, KS 66044
e-mail: depcik@ku.edu

Contributed by the Combustion and Fuels Committee of ASME for publication in the JOURNAL OF ENGINEERING FOR GAS TURBINES AND POWER. Manuscript received January 7, 2016; final manuscript received January 14, 2016; published online March 30, 2016. Editor: David Wisler.

J. Eng. Gas Turbines Power 138(9), 091502 (Mar 30, 2016) (10 pages) Paper No: GTP-16-1008; doi: 10.1115/1.4032741 History: Received January 07, 2016; Revised January 14, 2016

Modeling of engine-out heat release (HR) is of great importance for engine combustion research. Variations in fuel properties bring about changing combustion behavior within the cylinder, which may be captured by modeling of the rate of heat release (RHR). This is particularly true for biodiesel fuels, where changes in fuel behavior are linked to viscosity, density, and energy content. HR may also be expanded into an analysis using the second law of thermodynamics, which may ascertain the pathways through which availability is either captured as useful work, unused as thermal availability of the exhaust gas, or wasted as heat transfer. In specific, the second-law model identifies the period of peak availability, and thus the ideal period to extract work, and is of use for power optimization. A multizone (fuel, burned, and unburned) diagnostic model using a first law of thermodynamics analysis is utilized as a foundation for a second-law analysis, allowing for a simultaneous energy and exergy analysis of engine combustion from a captured pressure trace. The model calibrates the rate and magnitude of combustion through an Arrhenius equation in place of a traditional Wiebe function, calibrated using exhaust emission measurements. The created model is then utilized to categorize combustion of diesel and palm biodiesel fuels as well as their blends. The second-law analysis is used to highlight the effects of increasing biodiesel usage on engine efficiency, particularly with respect to fuel viscosity and combustion temperature. The second-law model used is found to provide a more clear understanding of combustion than the original first-law model, particularly with respect to the relationships between biodiesel content, viscosity, temperature, and diffusion-dominated combustion.

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Grahic Jump Location
Fig. 1

Measured in-cylinder pressure for ULSD

Grahic Jump Location
Fig. 2

Calculated RHR for ULSD

Grahic Jump Location
Fig. 3

Calculated rate of change in availability at 18.0 N · m

Grahic Jump Location
Fig. 4

Calculated cumulative change in availability at 18.0 N · m

Grahic Jump Location
Fig. 5

Percentage of calculated total availability via components in Eq. (2) at EVO

Grahic Jump Location
Fig. 6

Calculated in-cylinder temperature profile for ULSD

Grahic Jump Location
Fig. 7

Calculated rates of HR for ULSD, palm biodiesel, and blends at 9.0 N · m

Grahic Jump Location
Fig. 8

Calculated rates of HR for ULSD, palm biodiesel, and blends at 18.0 N · m

Grahic Jump Location
Fig. 9

Measured availability addition for ULSD, palm biodiesel, and blends

Grahic Jump Location
Fig. 10

Percentage of calculated total availability transferred as work

Grahic Jump Location
Fig. 11

Percentage of calculated total availability lost through heat transfer

Grahic Jump Location
Fig. 12

Calculated in-cylinder temperature profile for ULSD, palm biodiesel, and blends at 9.0 N · m

Grahic Jump Location
Fig. 13

Percentage of calculated total availability lost through irreversibility

Grahic Jump Location
Fig. 14

Percentage of calculated total availability retained by exhaust gases




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