1. Computational and Data-Driven Modeling of Combustion in Reciprocating Engines or Gas Turbines.
- Author
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Cameretti, Maria Cristina and De Robbio, Roberta
- Subjects
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MARINE engine emissions , *DIESEL motor combustion , *EXHAUST gas recirculation , *DIESEL motors , *HEAT of combustion , *HYDROGEN as fuel , *DIESEL fuels - Abstract
This document discusses the importance of computational and data-driven modeling in understanding and optimizing combustion in reciprocating engines and gas turbines. The Paris Agreement's goals to reduce greenhouse gas emissions and global warming necessitate the reduction of pollutants emitted by transportation and energy production. While new technologies like electrification and carbon capture are emerging, internal combustion engines and gas turbines remain crucial in the short and medium term. Computational modeling allows for the investigation of various operating conditions, reducing costs and risks. The document includes research articles and a review on the role of micro gas turbines in distributed energy production, covering topics such as reducing emissions in internal combustion engines, exploring alternative fuels, and improving the efficiency of gas turbines. [Extracted from the article]
- Published
- 2024
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