JOURNAL OF ENGINEERING FOR GAS TURBINES AND POWER-TRANSACTIONS OF THE ASME

Scope & Guideline

Fueling Ideas for Sustainable Power Solutions

Introduction

Welcome to your portal for understanding JOURNAL OF ENGINEERING FOR GAS TURBINES AND POWER-TRANSACTIONS OF THE ASME, featuring guidelines for its aims and scope. Our guidelines cover trending and emerging topics, identifying the forefront of research. Additionally, we track declining topics, offering insights into areas experiencing reduced scholarly attention. Key highlights include highly cited topics and recently published papers, curated within these guidelines to assist you in navigating influential academic dialogues.
LanguageEnglish
ISSN0742-4795
PublisherASME
Support Open AccessNo
CountryUnited States
TypeJournal
Convergefrom 1960 to 2024
AbbreviationJ ENG GAS TURB POWER / J. Eng. Gas. Turbines Power-Trans. ASME
Frequency12 issues/year
Time To First Decision-
Time To Acceptance-
Acceptance Rate-
Home Page-
AddressTWO PARK AVE, NEW YORK, NY 10016-5990

Aims and Scopes

The JOURNAL OF ENGINEERING FOR GAS TURBINES AND POWER-TRANSACTIONS OF THE ASME focuses on advancing the engineering and technology associated with gas turbines and power generation. It encompasses a wide range of research areas, methodologies, and applications, reflecting the dynamic nature of the field.
  1. Gas Turbine Design and Optimization:
    Research related to the design and optimization of gas turbine systems, including aerodynamic design, thermal management, and component interactions to enhance efficiency and reduce emissions.
  2. Combustion Dynamics and Emissions Control:
    Studies focused on combustion processes, including the investigation of fuel types, combustion stability, and emissions reduction technologies to meet regulatory standards.
  3. Fluid Dynamics and Heat Transfer:
    Exploration of fluid dynamics and heat transfer phenomena in various components of gas turbine systems, utilizing computational fluid dynamics (CFD) and experimental validation.
  4. Vibration and Structural Dynamics:
    Analysis of vibration characteristics, structural dynamics, and health monitoring of turbine components using advanced modeling techniques and experimental methods.
  5. Advanced Manufacturing Techniques:
    Innovations in manufacturing processes such as additive manufacturing and their implications for the performance and durability of gas turbine components.
  6. Hybrid and Renewable Energy Systems:
    Integration of gas turbine technology with renewable energy systems, focusing on hybrid and microgrid applications to enhance energy sustainability.
  7. Machine Learning and Data Analytics:
    Application of machine learning and data analytics in predictive maintenance, performance monitoring, and optimization of gas turbine operations.
The journal has seen a notable rise in research themes that align with current technological advancements and industry demands. These emerging areas reflect a proactive response to global energy challenges and innovation in gas turbine technologies.
  1. Hydrogen and Alternative Fuels:
    Research focusing on the use of hydrogen and other alternative fuels in gas turbines is increasing, driven by the need for decarbonization and sustainability in energy production.
  2. Advanced Computational Modeling:
    There is a significant trend towards sophisticated computational modeling techniques, including machine learning and AI applications, to enhance predictive capabilities in turbine design and operation.
  3. Thermal and Fluid Management Innovations:
    Emerging studies are increasingly centered on innovative thermal management systems and fluid dynamics techniques that improve efficiency and performance under varying operational conditions.
  4. Integrated Energy Systems:
    Research on integrated systems combining gas turbines with renewable energy sources and energy storage solutions is gaining traction, reflecting a shift towards more holistic energy management approaches.
  5. Real-Time Monitoring and Predictive Maintenance:
    The application of real-time monitoring techniques and predictive maintenance strategies is on the rise, utilizing data analytics to enhance operational reliability and efficiency.

Declining or Waning

While the journal continues to publish a wide array of cutting-edge research, certain themes have shown a decline in frequency or prominence over recent years. These waning topics reflect shifts in industry focus and emerging technologies.
  1. Conventional Fossil Fuel Technologies:
    Research related to traditional fossil fuel-based gas turbine technologies is diminishing as the industry increasingly shifts towards cleaner, more sustainable energy solutions.
  2. Simple Combustion Models:
    The use of basic combustion models is waning in favor of more complex, detailed simulations that incorporate advanced chemistry and turbulence modeling to better predict combustion behavior.
  3. Static Performance Testing:
    Static performance assessments are becoming less common as dynamic, real-time testing methodologies gain traction, reflecting a need for more realistic operational data.
  4. Traditional Control Strategies:
    Conventional control strategies for gas turbine operation are being overshadowed by more innovative, adaptive, and AI-driven control methodologies that optimize performance in real-time.

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