نتایج جستجو برای: nrel

تعداد نتایج: 434  

Journal: :Bioresource technology 2011
Bryon S Donohoe Todd B Vinzant Richard T Elander Venkata Ramesh Pallapolu Y Y Lee Rebecca J Garlock Venkatesh Balan Bruce E Dale Youngmi Kim Nathan S Mosier Michael R Ladisch Matthew Falls Mark T Holtzapple Rocio Sierra-Ramirez Jian Shi Mirvat A Ebrik Tim Redmond Bin Yang Charles E Wyman Bonnie Hames Steve Thomas Ryan E Warner

The US Department of Energy-funded Biomass Refining CAFI (Consortium for Applied Fundamentals and Innovation) project has developed leading pretreatment technologies for application to switchgrass and has evaluated their effectiveness in recovering sugars from the coupled operations of pretreatment and enzymatic hydrolysis. Key chemical and physical characteristics have been determined for pret...

2013
Prasert Sinsermsuksakul Katy Hartman Sang Bok Kim Jaeyeong Heo Leizhi Sun Helen Hejin Park Rupak Chakraborty Tonio Buonassisi Roy G. Gordon

SnS is a promising earth-abundant material for photovoltaic applications. Heterojuction solar cells were made by vapor deposition of p-type tin(II) sulfide, SnS, and n-type zinc oxysulfide, Zn(O,S), using a device structure of soda-lime glass/Mo/SnS/Zn(O,S)/ZnO/ITO. A record efficiency was achieved for SnS-based thin-film solar cells by varying the oxygen-to-sulfur ratio in Zn(O,S). Increasing ...

2011
Luis Tupak Aguilar

A control strategy is realized which solve the problem of output power regulation of variable speed wind energy conversion systems by combining a linear control for blade pitch angle with a nonlinear H∞ torque control which mitigate the effects of external disturbances that occur at the input and output of the system. The controller exhibits better power and speed regulation when compared to cl...

2011
Oliver Kramer Fabian Gieseke

Wind energy prediction has an important part to play in a smart energy grid for load balancing and capacity planning. In this paper we explore, if wind measurements based on the existing infrastructure of windmills in neighbored wind parks can be learned with a soft computing approach for wind energy prediction in the ten-minute to six-hour range. For this sake we employ Support Vector Regressi...

2002
John Rugh

The air-conditioning (A/C) system compressor load can significantly impact the fuel economy and tailpipe emissions of conventional and hybrid electric automobiles. With the increasing emphasis on fuel economy, it is clear that the A/C compressor load needs to be reduced. In order to accomplish this goal, more efficient climate control delivery systems and reduced peak soak temperatures will be ...

2016
Jinshan Xu Shaocong Gan Song Li Zhongyuan Ruan Shengyong Chen Yong Wang Changgui Gui Bin Wan

Designs leading to maximize the use of sun radiation of a given reflective area without increasing the expense on investment are important to solar power plants construction. We here provide a method that allows one to compute shade area at any given time as well as the total shading effect of a day. By establishing a local coordinate system with the origin at the apex of a parabolic dish and z...

Journal: :CoRR 2012
Sören Georg Matthias Müller Horst Schulte

Based on a reduced-order, dynamic nonlinear wind turbine model in TakagiSugeno (TS) model structure, a TS state observer is designed as a disturbance observer to estimate the unknown effective wind speed. The TS observer model is an exact representation of the underlying nonlinear model, obtained by means of the sector-nonlinearity approach. The observer gain matrices are obtained by means of a...

2012
H. Lin T. Y. Hsieh J. Y. Yang

The aerodynamic analysis of wind turbine rotors using preconditioned weighted essentially non-oscillatory scheme to solve the compressible NavierStokes equations in non-inertial coordinate system with Spalart-Allmaras one equation turbulence model is presented. A parallel clustering algorithm based on Message Passing Interface library was implemented. The NREL Phase VI rotor with S809 airfoil w...

Journal: :Journal of physics 2022

Abstract The increase in the penetration rate of renewable energy such as wind power and photovoltaics has brought challenges to stable dispatch safe operation system. Therefore, based on short-time fast Fourier transform method, this paper constructs a long-short-term memory neural network model, proposes new volatility clustering algorithm for intermittent energy. On basis, open source data s...

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