Clean-energy revolution is happening, U.S. energy officials and Stanford researchers agree

East Palo Alto moves to cleaner, cheaper electricity after Stanford students’ analysis

Feb. 4, 2016

By Mark Golden

Following the recommendation of four Stanford students, East Palo Alto’s City Council on Feb. 2 took the final step in joining Peninsula Clean Energy, which will supply San Mateo County residents and businesses with cleaner electricity at likely lower rates than that from investor-owned utility PG&E.

Physics of Wind Energy (CEE 261)

Code: 
262
An introduction to the analysis and modeling of wind energy resources and their extraction. Topics include the physical origins of atmospheric winds; vertical profiles of wind speed and turbulence over land and sea; the wind energy spectrum and its modification by natural topography and built environments; theoretical limits on wind energy extraction by wind turbines and wind farms; modeling of wind turbine aerodynamics and wind farm performance. Final project will focus on development of a new wind energy technology concept. Prerequisites: CEE 262A or ME 351A
Subject: 
ME
Academic Year: 
2015-2016

Energy from Wind and Water Currents

Code: 
293C
This course focuses on the extraction of energy from wind, waves and tides.nThe emphasis in the course is technical leading to a solid understanding ofnestablished extraction systems and discussion of promising new technologies.nWe will also cover resource planning and production optimization through observations and computer simulations.nThe course includes at least one weekend field trip, and may include experimentsnin wind tunnel and/or flume.nnPrerequisites: CEE176B or EE293B, programming experience, understanding of fluid mechanics, electrical systems, and engineering optimization.
Subject: 
ENERGY
Academic Year: 
2015-2016
Section(s): 

Turbulence

Code: 
361
The nature of turbulent flows, statistical and spectral description of turbulence, coherent structures, spatial and temporal scales of turbulent flows. Averaging, two-point correlations and governing equations. Reynolds averaged equations and stresses. Free shear flows, turbulent jet, turbulent kinetic energy and kinetic energy dissipation, and kinetic energy budget. Kolmogorov's hypothesis and energy spectrum. Wall bounded flows, viscous scales, and law of the wall. Turbulence closure modeling for Reynolds averaged Navier Stokes equations. Direct and large eddy simulation of turbulent flows.
Subject: 
ME
Academic Year: 
2015-2016
Section(s): 

Fluid Mechanics: Compressible Flow and Turbomachinery

Code: 
131B
General Education Requirement(s): 
GER:DB-EngrAppSci
Engineering applications involving compressible flow: aircraft and rocket propulsion, power generation; application of mass, momentum, energy and entropy balance to compressible flows; variable area isentropic flow, normal shock waves, adiabatic flow with friction, flow with heat addition. Operation of flow systems: the propulsion system. Turbomachinery: pumps, compressors, turbines. Angular momentum analysis of turbomachine performance, centrifugal and axial flow machines, effect of blade geometry, dimensionless performance of turbomachines; hydraulic turbines; steam turbines; wind turbines.
Subject: 
ME
Academic Year: 
2015-2016
Section(s): 

Electric Power: Renewables and Efficiency

Code: 
176B
General Education Requirement(s): 
GER:DB-EngrAppSci
Renewable and efficient electric power systems emphasizing analysis and sizing of photovoltaic arrays and wind turbines. Basic electric power generation, transmission and distribution, distributed generation, combined heat and power, fuel cells. End use demand, including lighting and motors. Lab.
Subject: 
CEE
Academic Year: 
2015-2016
Section(s): 

Student teams win grants to commercialize Stanford energy inventions

July 29, 2015

By Mark Golden

Miniature ultrasound sensors embedded in windmill blades could help avoid catastrophic failures and reduce wind power costs by replacing field inspections with online monitoring.