Results 101 to 110 of about 6,980 (239)
Ensemble Deep Learning–Based Wind Power Forecasting With Self‐Adaptive Osprey Optimization Algorithm
Energy Science &Engineering, EarlyView.Design of Self‐Adaptive Osprey (SAO) algorithm: The novel SAO algorithm is designed by integrating the exploration capability of the conventional Osprey algorithm by including the self‐adaptiveness for enhancing the convergence rate. Ensemble Deep Learning for wind power forecasting: The wind forecasting is employed using the proposed Ensemble learning
Johncy Bai Johnson +3 more
wiley +1 more source
Energy Science &Engineering, EarlyView.Integration of a steam cycle with an existing gas turbine increased efficiency from 32% to 51%, reducing fuel consumption by 21.4% and CO2 emissions by 18.6%. The modification generated USD 13.9 million annual savings and lowered the Levelized Cost of Energy to 38.7 USD/MWh, with a 3‐year payback.
Vahid Pirouzfar +2 more
wiley +1 more source
Energy Science &Engineering, EarlyView.A deep reinforcement learning–based control architecture is proposed to coordinate heat pumps, thermal storage, renewable energy, and demand response in data center waste heat recovery systems. The agent learns optimal control actions from system states and reward feedback to achieve electrical–thermal co‐optimization under realistic operational ...
Rendong Shen +5 more
wiley +1 more source
Robust Control Using a Matrix Converter to Enhance Wind Turbine Systems
Energy Science &Engineering, EarlyView.This study uses a more efficient and effective solution to improve the operational performance of a wind turbine‐based power system. This system uses a doubly fed induction generator and relies on a matrix converter and fractional‐order proportional–integral controller.
Sihem Ghoudelbourk +4 more
wiley +1 more source
Energy Science &Engineering, EarlyView.An AI‐driven CNN–LSTM forecasting framework is integrated with HOMER Pro to optimally design a grid‐connected PV–wind–BESS microgrid for a rural school in Bangladesh, achieving 91.7% renewable penetration, low energy cost (0.0397 USD/kWh), and an 81.5% reduction in CO2 emissions. ABSTRACT Hybrid renewable microgrid planning in HOMER Pro often relies on
Robiul Khan +5 more
wiley +1 more source
A Review of NDT/Structural Health Monitoring Techniques for Hot Gas Components in Gas Turbines. [PDF]
Sensors (Basel), 2019 Mevissen F, Meo M.
europepmc +1 more source
Energy Science &Engineering, EarlyView.The extent of hydrotreating that is required for olefinic kerosene to pass the jet fuel thermal oxidative stability test was investigated. Fouling species are destroyed after mild hydrotreating, and no further benefit is derived from more severe hydrotreating.
Cibele Melo Halmenschlager +2 more
wiley +1 more source
Investigation of the Pressure Gain Characteristics and Cycle Performance in Gas Turbines Based on Interstage Bleeding Rotating Detonation Combustion. [PDF]
Entropy (Basel), 2019 Qi L +5 more
europepmc +1 more source
Interplay Between Green Investment and Market Price Premia in Global Shipping
International Journal of Finance &Economics, EarlyView.ABSTRACT Existing research emphasises that the driver of green investment is its future profitability. This paper shows that other investors' decisions also influence green investment. We take the example of scrubber installation in shipping, which is optional by regulation but has an established market for trading its underlying asset.
Yao Shi +4 more
wiley +1 more source