Computational and Data-Driven Modeling of Combustion in Reciprocating Engines or Gas Turbines
In the last decade, more stringent regulations have forced a significant reduction in the levels of pollutants emitted into the atmosphere; nevertheless, internal combustion engines and gas turbines still represent the most widely operated energy conversion systems. Experimental investigations play...
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| Định dạng: | Online |
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| Ngôn ngữ: | Tiếng Anh |
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MDPI - Multidisciplinary Digital Publishing Institute
2025
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| Những chủ đề: | |
| Truy cập trực tuyến: | ONIX_20250220_9783725825738_338 |
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| _version_ | 1869531168065454080 |
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| collection | Directory of Open Access Books |
| description | In the last decade, more stringent regulations have forced a significant reduction in the levels of pollutants emitted into the atmosphere; nevertheless, internal combustion engines and gas turbines still represent the most widely operated energy conversion systems. Experimental investigations play a fundamental role in allowing a better understanding of the processes that are responsible for noxious species formation. Indeed, only experimental activities can provide basic data to deeply analyze the phenomena occurring inside combustion chambers. On the other hand, experimental facilities have a high cost of maintenance and operation and, therefore, the same data are generally used for the validation of numerical models that in turn can be helpful to predict the behavior of engines and gas turbines under a wide range of operating conditions, or to test their operation in innovative combustion concepts. This Reprint collects innovative research on combustion computational models and their methodologies of validation, covering a wide range of applications and solutions in which reciprocating engines and gas turbines are implemented. |
| format | Online |
| id | doab-20.500.12854ir-152974 |
| institution | Directory of Open Access Books |
| language | eng |
| publishDate | 2025 |
| publishDateRange | 2025 |
| publishDateSort | 2025 |
| publisher | MDPI - Multidisciplinary Digital Publishing Institute |
| publisherStr | MDPI - Multidisciplinary Digital Publishing Institute |
| record_format | ojs |
| spelling | doab-20.500.12854ir-1529742025-02-20T13:22:09Z Computational and Data-Driven Modeling of Combustion in Reciprocating Engines or Gas Turbines Cameretti, Maria Cristina Robbio, Roberta De Combustion Modeling Experimental Data Reciprocating Engine Gas Turbine. thema EDItEUR::G Reference, Information and Interdisciplinary subjects::GP Research and information: general thema EDItEUR::P Mathematics and Science::PG Astronomy, space and time In the last decade, more stringent regulations have forced a significant reduction in the levels of pollutants emitted into the atmosphere; nevertheless, internal combustion engines and gas turbines still represent the most widely operated energy conversion systems. Experimental investigations play a fundamental role in allowing a better understanding of the processes that are responsible for noxious species formation. Indeed, only experimental activities can provide basic data to deeply analyze the phenomena occurring inside combustion chambers. On the other hand, experimental facilities have a high cost of maintenance and operation and, therefore, the same data are generally used for the validation of numerical models that in turn can be helpful to predict the behavior of engines and gas turbines under a wide range of operating conditions, or to test their operation in innovative combustion concepts. This Reprint collects innovative research on combustion computational models and their methodologies of validation, covering a wide range of applications and solutions in which reciprocating engines and gas turbines are implemented. 2025-02-20T13:22:07Z 2025-02-20T13:22:07Z 2024 book ONIX_20250220_9783725825738_338 9783725825738 9783725825745 https://directory.doabooks.org/handle/20.500.12854/152974 eng application/octet-stream Attribution 4.0 International https://mdpi.com/books/pdfview/book/10220 MDPI - Multidisciplinary Digital Publishing Institute 10.3390/books978-3-7258-2574-5 10.3390/books978-3-7258-2574-5 46cabcaa-dd94-4bfe-87b4-55023c1b36d0 9783725825738 9783725825745 216 Basel open access |
| spellingShingle | Combustion Modeling Experimental Data Reciprocating Engine Gas Turbine. thema EDItEUR::G Reference, Information and Interdisciplinary subjects::GP Research and information: general thema EDItEUR::P Mathematics and Science::PG Astronomy, space and time Computational and Data-Driven Modeling of Combustion in Reciprocating Engines or Gas Turbines |
| title | Computational and Data-Driven Modeling of Combustion in Reciprocating Engines or Gas Turbines |
| title_full | Computational and Data-Driven Modeling of Combustion in Reciprocating Engines or Gas Turbines |
| title_fullStr | Computational and Data-Driven Modeling of Combustion in Reciprocating Engines or Gas Turbines |
| title_full_unstemmed | Computational and Data-Driven Modeling of Combustion in Reciprocating Engines or Gas Turbines |
| title_short | Computational and Data-Driven Modeling of Combustion in Reciprocating Engines or Gas Turbines |
| title_sort | computational and data driven modeling of combustion in reciprocating engines or gas turbines |
| topic | Combustion Modeling Experimental Data Reciprocating Engine Gas Turbine. thema EDItEUR::G Reference, Information and Interdisciplinary subjects::GP Research and information: general thema EDItEUR::P Mathematics and Science::PG Astronomy, space and time |
| topic_facet | Combustion Modeling Experimental Data Reciprocating Engine Gas Turbine. thema EDItEUR::G Reference, Information and Interdisciplinary subjects::GP Research and information: general thema EDItEUR::P Mathematics and Science::PG Astronomy, space and time |
| url | ONIX_20250220_9783725825738_338 |