Optimizing Methanol Blending Performance of Electronically Controlled Diesel Engines through Fuzzy Analysis
This paper presents a comprehensive optimization approach for enhancing the performance of a methanol/diesel Exhaust Gas Recirculation (EGR) engine. Initially, a hybrid fuel engine combustion chamber model was developed using AVL-FIRE software, and the simulated results were compared with the values...
| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
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EDP Sciences
2023-01-01
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| Series: | E3S Web of Conferences |
| Online Access: | https://www.e3s-conferences.org/articles/e3sconf/pdf/2023/60/e3sconf_iwred2023_01003.pdf |
| _version_ | 1797673661262462976 |
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| author | Cai Zheng Yang Chenxi Fan Jinyu Li Pinfang Huang Zhaoxia Huang Jialiang |
| author_facet | Cai Zheng Yang Chenxi Fan Jinyu Li Pinfang Huang Zhaoxia Huang Jialiang |
| author_sort | Cai Zheng |
| collection | DOAJ |
| description | This paper presents a comprehensive optimization approach for enhancing the performance of a methanol/diesel Exhaust Gas Recirculation (EGR) engine. Initially, a hybrid fuel engine combustion chamber model was developed using AVL-FIRE software, and the simulated results were compared with the values obtained from bench tests. An orthogonal experimental design was employed to optimize five key factors, namely methanol blending ratio, EGR rate, injection advance angle, intake pressure, and intake temperature. Evaluation indexes were established, with indicated power and NO emissions assigned weights of 0.35 and 0.65, respectively. The optimal parameter combinations were determined as follows: methanol blending ratio (a1=20%), EGR rate (a2=12.5%), injection advance angle (a3=16.6°CA), intake temperature (a4 = 315.15 K), and intake pressure (a5=0.173 MPa). The indicated power of the optimized configuration reached 47.8 kW, slightly lower than the original 55 kW, while the NO emission mass fraction decreased to 1.9×10-4%, representing a significant reduction of 77.6% compared to the original value of 8.5×10-4%. This optimization methodology demonstrates the effective reduction of NO emissions without compromising power performance in methanol/diesel EGR engines. |
| first_indexed | 2024-03-11T21:47:39Z |
| format | Article |
| id | doaj.art-76fb4cbc73fd40c3b6da2a316a127352 |
| institution | Directory Open Access Journal |
| issn | 2267-1242 |
| language | English |
| last_indexed | 2024-03-11T21:47:39Z |
| publishDate | 2023-01-01 |
| publisher | EDP Sciences |
| record_format | Article |
| series | E3S Web of Conferences |
| spelling | doaj.art-76fb4cbc73fd40c3b6da2a316a1273522023-09-26T10:11:19ZengEDP SciencesE3S Web of Conferences2267-12422023-01-014230100310.1051/e3sconf/202342301003e3sconf_iwred2023_01003Optimizing Methanol Blending Performance of Electronically Controlled Diesel Engines through Fuzzy AnalysisCai Zheng0Yang Chenxi1Fan Jinyu2Li Pinfang3Huang Zhaoxia4Huang Jialiang5Marine Engineering Institute, Jimei UniversityMarine Engineering Institute, Jimei UniversityMarine Engineering Institute, Jimei UniversityMarine Engineering Institute, Jimei UniversitySchool of Science, Jimei UniversityMarine Engineering Institute, Jimei UniversityThis paper presents a comprehensive optimization approach for enhancing the performance of a methanol/diesel Exhaust Gas Recirculation (EGR) engine. Initially, a hybrid fuel engine combustion chamber model was developed using AVL-FIRE software, and the simulated results were compared with the values obtained from bench tests. An orthogonal experimental design was employed to optimize five key factors, namely methanol blending ratio, EGR rate, injection advance angle, intake pressure, and intake temperature. Evaluation indexes were established, with indicated power and NO emissions assigned weights of 0.35 and 0.65, respectively. The optimal parameter combinations were determined as follows: methanol blending ratio (a1=20%), EGR rate (a2=12.5%), injection advance angle (a3=16.6°CA), intake temperature (a4 = 315.15 K), and intake pressure (a5=0.173 MPa). The indicated power of the optimized configuration reached 47.8 kW, slightly lower than the original 55 kW, while the NO emission mass fraction decreased to 1.9×10-4%, representing a significant reduction of 77.6% compared to the original value of 8.5×10-4%. This optimization methodology demonstrates the effective reduction of NO emissions without compromising power performance in methanol/diesel EGR engines.https://www.e3s-conferences.org/articles/e3sconf/pdf/2023/60/e3sconf_iwred2023_01003.pdf |
| spellingShingle | Cai Zheng Yang Chenxi Fan Jinyu Li Pinfang Huang Zhaoxia Huang Jialiang Optimizing Methanol Blending Performance of Electronically Controlled Diesel Engines through Fuzzy Analysis E3S Web of Conferences |
| title | Optimizing Methanol Blending Performance of Electronically Controlled Diesel Engines through Fuzzy Analysis |
| title_full | Optimizing Methanol Blending Performance of Electronically Controlled Diesel Engines through Fuzzy Analysis |
| title_fullStr | Optimizing Methanol Blending Performance of Electronically Controlled Diesel Engines through Fuzzy Analysis |
| title_full_unstemmed | Optimizing Methanol Blending Performance of Electronically Controlled Diesel Engines through Fuzzy Analysis |
| title_short | Optimizing Methanol Blending Performance of Electronically Controlled Diesel Engines through Fuzzy Analysis |
| title_sort | optimizing methanol blending performance of electronically controlled diesel engines through fuzzy analysis |
| url | https://www.e3s-conferences.org/articles/e3sconf/pdf/2023/60/e3sconf_iwred2023_01003.pdf |
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