Construction of a reduced mechanism for diesel-natural gas -hydrogen using HCCI model with Direct Relation Graph and Sensitivity Analysis

• Autorzy: Rui Zhao , Leping Xu , Shiquan Feng

Identyfikatory

DOI

10.2478/pjct-2020-0039

• Języki publikacji: EN

Abstrakty

EN

Based on the theory of direct relation graph (DRG) and sensitivity analysis (SA), a reduced mechanism for diesel CH₄-H₂ tri-fuel is constructed. The detailed mechanism of Lawrence Livermore National Laboratory, which has 654 elements and 2827 elementary reactions, is used for mechanism reduction with DRG. Some small thresholds are used in the process of simplifying the detailed mechanism via DRG, and a skeletal mechanism of 266 elements is obtained. Based on the framework of the skeletal mechanism, the time-consuming approach of sensitivity analysis is used for further simplification, and the skeletal mechanism is reduced to 262 elements. Validation of the reduced mechanism is done via a comparison of ignition delay time and laminar flame speed from the calculation using the reduced mechanism and the detailed mechanism or experiment. The reduced mechanism shows good agreement with the detailed mechanism and with related experimental data.

Słowa kluczowe

EN

diesel; natural gas; hydrogen; reduced mechanism; DRG; SA

• Wydawca: West Pomeranian University of Technology. Publishing House
• Czasopismo: Polish Journal of Chemical Technology
• Rocznik: 2020
• Tom: Vol. 22, nr 4
• Strony: 55--60
• Opis fizyczny: Bibliogr. 25 poz., rys., wykr., wz.

Twórcy

autor

Rui Zhao

• Merchant Marine College, Shanghai Maritime University, Shanghai 201306, China

autor

Leping Xu

• Merchant Marine College, Shanghai Maritime University, Shanghai 201306, China

autor

Shiquan Feng

• School of Automotive Engineering, Changshu Institute of Technology, Suzhou 215500, China

Bibliografia

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Uwagi

This work was supported by the Shanghai Government Science and Technology Commission under grant number 17170712100.

Opracowanie rekordu ze środków MNiSW, umowa Nr 461252 w ramach programu "Społeczna odpowiedzialność nauki" - moduł: Popularyzacja nauki i promocja sportu (2020).