Academic Journal
Thermal performance analysis of gas turbine power plant using soft computing techniques: a review
| العنوان: | Thermal performance analysis of gas turbine power plant using soft computing techniques: a review |
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| المؤلفون: | Ravindra S. Surase, Ramakrishna Konijeti, Ramchandra P. Chopade |
| المصدر: | Engineering Applications of Computational Fluid Mechanics, Vol 18, Iss 1 (2024) |
| بيانات النشر: | Taylor & Francis Group, 2024. |
| سنة النشر: | 2024 |
| المجموعة: | LCC:Engineering (General). Civil engineering (General) |
| مصطلحات موضوعية: | Gas turbine optimisation, thermal performance analysis, fuel and emission control, waste heat recovery, turbine fault diagnosis, soft computing techniques, Engineering (General). Civil engineering (General), TA1-2040 |
| الوصف: | Gas turbines are pivotal in electricity generation and industry, prized for their efficiency and flexibility in meeting diverse power needs. Optimizing their thermal efficiency is essential for improving energy output and sustainability. Soft computing methods such as neural networks, genetic algorithms, and fuzzy logic offer potent tools for this optimization due to their ability to handle the turbines' nonlinear and dynamic characteristics. These techniques facilitate a deeper understanding of the intricate interplay among various parameters affecting thermal performance, thereby enabling the development of intelligent and adaptive turbine systems. By leveraging soft computing, researchers can enhance gas turbine designs to align with modern energy and environmental objectives. This review emphasizes the application of soft computing approaches in analysing and improving gas turbine thermal performance. Such advancements are instrumental in achieving higher energy efficiency, reducing greenhouse gas emissions, and promoting a sustainable energy landscape. Ultimately, integrating soft computing into gas turbine operations promises to advance both technical capabilities and environmental stewardship in the detection of a more resilient and efficient energy infrastructure. |
| نوع الوثيقة: | article |
| وصف الملف: | electronic resource |
| اللغة: | English |
| تدمد: | 19942060 1997-003X 1994-2060 |
| Relation: | https://doaj.org/toc/1994-2060; https://doaj.org/toc/1997-003X |
| DOI: | 10.1080/19942060.2024.2374317 |
| URL الوصول: | https://doaj.org/article/d45589752fb04a09a34328ce634ebb4a |
| رقم الانضمام: | edsdoj.45589752fb04a09a34328ce634ebb4a |
| قاعدة البيانات: | Directory of Open Access Journals |
| تدمد: | 19942060 1997003X |
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| DOI: | 10.1080/19942060.2024.2374317 |