Results 161 to 170 of about 231,961 (313)

Assessment of a rotor blade extension retrofit as a supplement to the lifetime extension of wind turbines

, 2020
Matthias Saathoff
openalex   +1 more source

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, Sivarani Thankamony Saradha Devi, Kumar Chandrasekaran, Sourav Barua   +3 more
wiley   +1 more source

Assessing the impact of novel hybrid floating breakwater-WEC systems on hydrodynamic performance and sustainable energy outputs. [PDF]

Sci Rep
Hamed B, Elkiki M, Abdellah S, El S Yassen Y, Diab R.   +4 more
europepmc   +1 more source

Turbines [PDF]

Journal of the Franklin Institute, 1887
openaire   +1 more source

Integrated Flue‐Gas Heat Recovery for Optimized Steam and Power Generation Using Organic Rankine Cycle (ORC): A Technical and Economic Assessment

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, Anashe Aghajani, Chia‐Hung Su   +2 more
wiley   +1 more source

Effect of blade parameters on radial turbine rotor aerodynamics. [PDF]

Sci Rep
Fawaz MA, Hassan AFA, Shaheen M, Al-Samieh MF.   +3 more
europepmc   +1 more source

Analisis Pengaruh Turbine Washing Terhadap Efisiensi dan Daya Pembangkit Turbin Uap

, 2021
Sagita Firza Nur, I Gede Eka Lesmana
openalex   +2 more sources

Intelligent Control Framework of District Heating Systems Considering Waste Heat Utilization in Data Centers

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, Ruifan Zheng, Shengyuan Zhong, Lei Gu, Dongfang Yang, Jun Zhao   +5 more
wiley   +1 more source

Optimization of Wind Turbine Spindle Bearing Gel-like Grease Performance at Extreme Temperatures. [PDF]

Gels
Tian Z, Zhang Y, Peng H, Peng B, Meng Z.
europepmc   +1 more source

Savonius wind turbine : The influence of the wind concentrator

, 2002
Hiroyuki Ueno, Masahiro Mino, Norihisa Takada   +2 more
openalex   +2 more sources