Results 111 to 120 of about 12,385 (267)

Flexible Direct‐Conversion X‐Ray Detectors: From Emerging Materials to Conformal Imaging

ENERGY &ENVIRONMENTAL MATERIALS, EarlyView.
This comprehensive review analyzed the performance, challenges, and future directions of four emerging material systems for next‐generation flexible direct‐conversion X‐ray detectors: organic semiconductors, perovskites, metal–organic frameworks, and inorganic metal compounds.
Haipeng Di, Guoliang Ma, Jiaxin Mu, Kailian Dong, Haibin Li, Manjing Wang, Xin Song, Haojin Li, Jianwei Xu, Yiying Zhao, Jingjing Zhao, Guojia Fang   +11 more
wiley   +1 more source

Analysis of Gas Turbine Compressor Performance after a Major Maintenance Operation Using an Autoencoder Architecture. [PDF]

Sensors (Basel), 2023
de Castro-Cros M, Velasco M, Angulo C.
europepmc   +1 more source

Selecting Between Hydrogen and Methanol for Fuel Cell‐Organic Rankine Cycle Hybrid Power Systems: A Comparative 4E Analysis

Energy Science &Engineering, EarlyView.
A 4E comparison of PEMFC‐ORC and DMFC‐ORC systems shows that PEMFC‐ORC achieves 21% higher energy efficiency, while DMFC‐ORC obtains 31% higher exergy efficiency and 57% lower levelized cost of electricity. However, DMFC‐ORC emits nearly twice the annual carbon dioxide equivalent of PEMFC‐ORC.
Zahra Piryaei, Maryam Karami, Iman Khazaee   +2 more
wiley   +1 more source

Linear Elastic Fracture Mechanics Assessment of a Gas Turbine Vane. [PDF]

Materials (Basel), 2022
Orenes Moreno B, Bessone A, Solazzi S, Vanti F, Bagnera F, Riva A, Botto D.   +6 more
europepmc   +1 more source

Techno‐Economic Analysis and Multi‐Objective Optimization of a Novel Combined Cooling and Power System Driven by Geothermal Source and Waste Heat From Data Center

Energy Science &Engineering, EarlyView.
A novel combined cooling and power generation system is proposed by integrating organic Rankine cycle (ORC) with an absorption heat transformer, which is driven by combining geothermal energy and data center's waste heat. The system using R601a yielded the best overall performance, achieving an exergy efficiency of 40.34% and an annual cost of 130.29 k$
Zerui Chen, Xin Wu, Zhukui Tan, Jian Xiao, Nan Wang   +4 more
wiley   +1 more source

Prediction of Dry-Low Emission Gas Turbine Operating Range from Emission Concentration Using Semi-Supervised Learning. [PDF]

Sensors (Basel), 2023
Faqih M, Omar MB, Ibrahim R.
europepmc   +1 more source

PMU‐Based Wide Area Monitoring With Machine Learning to Prevent Blackouts in Bangladesh Power System

Energy Science &Engineering, EarlyView.
A Unified Real‐time Dynamic State Measurements (URTDSM) system with PMU and Phasor Data Concentrator (PDC) deployment plan has been proposed to avoid blackout in the Bangladeshi power system. Machine learning has been used to process data from PMU to identify abnormal events. ABSTRACT The electrical power system must be trustworthy and secure enough to
Imi Bintey Fariha Rahman, Md. Minarul Islam, Md. Shahin Parvej, Abdul Hasib Chowdhury, Taha Selim Ustun, Kashem M. Muttaqi   +5 more
wiley   +1 more source

Non-Invasive Acoustic Monitoring of Gas Turbine Units by Fiber Optic Sensors. [PDF]

Sensors (Basel), 2022
Stepanov KV, Zhirnov AA, Sazonkin SG, Pnev AB, Bobrov AN, Yagodnikov DA.   +5 more
europepmc   +1 more source

Hybrid Simulation–Machine Learning Surrogates for Coordinate‐Based Solar and Wind Energy Yield Assessment in Iraq: A Streamlit Decision‐Support Tool

Energy Science &Engineering, EarlyView.
This study integrates climatic simulations with machine learning to predict solar and wind energy across Iraq. Results show Random Forest excels for solar (R2 = 0.98) and neural networks for wind (R2 = 0.97), enabling a practical web tool for renewable energy planning. ABSTRACT Driven by the global shift away from fossil fuels, solar and wind resources
Bassam Musheer Kareem, Abdolsalam Ebrahimpour, Jafar Ghafouri, Roghayyeh Motallebzadeh   +3 more
wiley   +1 more source

Design Optimization of a Gas Turbine Engine for Marine Applications: Off-Design Performance and Control System Considerations. [PDF]

Entropy (Basel), 2022
Machmudah A, Lemma TA, Solihin MI, Feriadi Y, Rajabi A, Afandi MI, Abbasi A.   +6 more
europepmc   +1 more source