Real-time acoustic modeling in the New England Shelf Break Experiment

This article presents an economic model for customer-owned and operated distributed generation facilities operated according to net metered, real-time pricing (RTP). Previous research has demonstrated that within traditional billing and rate structures customer-optimized distributed generation facilities create quantifiable losses for distribution and generation and transmission utilities. Using historical real-time pricing data available on the New England ISO website, a customer-optimized dispatch of distributed generation is constructed so that total consumer costs are minimized. The relative difference of consumer behavior is compared between RTPs with hour-long and a five minute long periods. The results are presented across a range of DG prices, and the utilization and value of the DG resource in this case study is also quantified.

Download Full-text

Defining perceptual requirements of dynamic (real‐time) acoustic modeling and auralization

The Journal of the Acoustical Society of America ◽

10.1121/1.2935348 ◽

2008 ◽

Vol 123 (5) ◽

pp. 3761-3761

Author(s):

Linda Gedemer

Keyword(s):

Real Time ◽

Acoustic Modeling

Download Full-text

Observations of intensity fluctuations during the summer New England shelf break Primer study

The Journal of the Acoustical Society of America ◽

10.1121/1.4777439 ◽

2001 ◽

Vol 110 (5) ◽

pp. 2726-2726

Author(s):

Andrew J. Fredricks ◽

John Colosi ◽

James F. Lynch

Keyword(s):

New England ◽

Shelf Break ◽

Intensity Fluctuations

Download Full-text

Climatological Mean Circulation at the New England Shelf Break

Journal of Physical Oceanography ◽

10.1175/2011jpo4604.1 ◽

2011 ◽

Vol 41 (10) ◽

pp. 1874-1893 ◽

Cited By ~ 28

Author(s):

Weifeng G. Zhang ◽

Glen G. Gawarkiewicz ◽

Dennis J. McGillicuddy ◽

John L. Wilkin

Keyword(s):

Seasonal Variation ◽

Pressure Gradient ◽

New England ◽

Sea Level ◽

Shelf Break ◽

Gradient Force ◽

Pressure Gradient Force ◽

Upwelled Water ◽

Shelf Sea ◽

Mean Circulation

Abstract A two-dimensional cross-shelf model of the New England continental shelf and slope is used to investigate the mean cross-shelf and vertical circulation at the shelf break and their seasonal variation. The model temperature and salinity fields are nudged toward climatology. Annual and seasonal mean wind stresses are applied on the surface in separate equilibrium simulations. The along-shelf pressure gradient force associated with the along-shelf sea level tilt is tuned to match the modeled and observed depth-averaged along-shelf velocity. Steady-state model solutions show strong seasonal variation in along-shelf and cross-shelf velocity, with the strongest along-shelf jet and interior onshore flow in winter, consistent with observations. Along-shelf sea level tilt associated with the tuned along-shelf pressure gradient increases shoreward because of decreasing water depth. The along-shelf sea level tilt varies seasonally with the wind and is the strongest in winter and weakest in summer. A persistent upwelling is generated at the shelf break with a maximum strength of 2 m day−1 at 50-m depth in winter. The modeled shelfbreak upwelling differs from the traditional view in that most of the upwelled water is from the upper continental slope instead of from the shelf in the form of a detached bottom boundary layer.

Download Full-text

Real-Time Transient Stability Assessment Based on Genetic Algorithm-Extreme Learning Machine

Applied Mechanics and Materials ◽

10.4028/www.scientific.net/amm.427-429.1390 ◽

2013 ◽

Vol 427-429 ◽

pp. 1390-1393

Author(s):

Bo Wang ◽

Ke Wang ◽

Da Hai You ◽

Wei Hua Chen ◽

Gang Wang

Keyword(s):

Genetic Algorithm ◽

New England ◽

Real Time ◽

Extreme Learning Machine ◽

Transient Stability ◽

Assessment Method ◽

Stability Assessment ◽

Electromagnetic Power ◽

Hidden Biases ◽

Learning Machine

In this paper an genetic algorithm-extreme learning machine (ELM) based real-time transient stability assessment method is proposed. This method uses genetic algorithm (GA) to search optimal input weights and hidden biases in the principle of cross validation to establish GA-ELM classifier. In order to do real-time transient stability assessment, generator trajectories of rotor angle, rotor speed, voltage magnitude, electromagnetic power and imbalance power in-and post-disturbance are chosen as original features for the quick access based synchronously sampled values. Simulation results of New-England 39-bus system show that this method has good performance in power system transient stability assessment.

Download Full-text