Results 161 to 170 of about 355,955 (343)

Two‐Layer Optimal Control Strategy of Thermal Power Unit Coupled With Hybrid Energy Storage System in Frequency Regulation

open access: yesEnergy Science &Engineering, EarlyView.
An optimized two‐layer TPU‐HESS operation strategy enables adaptive power allocation, mitigates regulation delay, and enhances AGC performance by 6.4% over conventional control methods. ABSTRACT With the growing penetration of renewable energy, its intermittency and fluctuation have imposed increasingly stringent regulation requirements on thermal ...
Zhiwei Xing   +9 more
wiley   +1 more source

Wind Resource Evaluation With Atmospheric Stability Across Different Surface Types

open access: yesEnergy Science &Engineering, EarlyView.
Wind resource evaluation with atmospheric stability across different surface types. ABSTRACT This study investigates the influence of atmospheric stability on wind resource assessment across various surface conditions, focusing on wind shear and prevailing wind direction as key analytical parameters.
Zejia Hua, Wei Tao, Guanjun Wang
wiley   +1 more source

Drivers of Public Attitudes towards Small Wind Turbines in the UK. [PDF]

open access: yesPLoS One, 2016
Tatchley C   +5 more
europepmc   +1 more source

Optimized Dual ANN Control Technique for Efficient Energy Management System (EMS) of Microgrid

open access: yesEnergy Science &Engineering, EarlyView.
Proposed methodology. ABSTRACT The escalating global energy demand necessitates a shift towards sustainable and environmentally friendly alternatives. While renewable energy sources like solar and wind energy offer promising solutions, their intermittent nature poses significant challenges for grid integration.
Bin Li   +5 more
wiley   +1 more source

Modeling and Experimental Study of a Dual‐Receiver Parabolic Solar Concentrator for Direct Electricity Generation and Thermal Storage for Isolated Sites

open access: yesEnergy Science &Engineering, EarlyView.
Approximately 64% of the population in sub‐Saharan Africa lacks access to electricity, despite the region's high solar potential, making concentrated solar power a promising solution for decentralized and sustainable energy supply. This study presents the design, construction, and testing of a parabolic solar concentrator with two focal‐point receivers
Sani Dan Nomao Harouna   +6 more
wiley   +1 more source

International Small Wind Turbine Contest

open access: yes, 2018
At the Lunchcolloquim of the TU in Delft Dr. Schepers talked about the International Small Wind Turbine Contest (ISWTC) and the Energy transition centre (Entrance) in Groningen.
openaire  

Prototype of Small Savonius Wind Turbine

open access: yesAtlantis Highlights in Engineering, 2021
Destra A Pratama   +4 more
openaire   +1 more source

Ensemble Deep Learning–Based Wind Power Forecasting With Self‐Adaptive Osprey Optimization Algorithm

open access: yesEnergy 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

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

open access: yesEnergy 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

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

open access: yesEnergy 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

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