Submission guidelines for CLEERS database

Brief description:

• Descriptive name for the data entry (e.g., Proposed kinetic mechanism and parameters for NO/NO2 adsorption in lean NOx traps) (required)
• Name and contact information for contributor submitting the data to CLEERS (e.g., Tony McDaniel, Sandia National Lab, amcdani@sandia.gov , etc.) (required)
• Date of submission (actual date data were received by CLEERS) (required)

Documentation:

• Name of individual or group who actually generated the data (required)
• Reference in open literature where data was reported or contact information for generating group or individual (required)
• How data were generated (i.e., were they experimentally measured or estimated using some computational scheme) (required)
• Range of conditions (e.g., temperature, pressure, etc.) for which the data are expected to be valid (for experimental data, this would be the experimental range; for computed data, this would be the assumed range for the computations) (required)
• Definition of key experimental features or computational assumptions (e.g., integral steady-state conversion measurements were made with an isothermal plug flow reactor or adsorption rate constants were estimated from UBI-QEP computations for polydisperse PT nanoparticles) (required)
• Definition of measurement technique (e.g., comments on type of instrument used, instrument resolution, measurement uncertainty) (required)
• Definition of materials (source and characteristics of catalytic materials, fuels, engine components) (required)
• Additional details of experimental/computational setup (important experimental difficulties, numerical algorithms used, computers used) (optional)

Format:

• CHEMKIN format for reaction mechanisms (required)
• CHEMKIN format for thermo/transport properties (required)
• Excel spreadsheets with well defined format for steady-state engine data (required)
• Supplemental header information (optional)

Comments:

• General comments from submitter as to personal experience regarding usefulness of data (optional)
• Examples/references of models, simulations where data has been used (optional)