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**Harvard**

Nilsson, K. (2010) *Estimation of wind energy production in relation to orographic complexity - A reliability study of two conventional computer software*. Göteborg : Chalmers University of Technology

** BibTeX **

@mastersthesis{

Nilsson2010,

author={Nilsson, Karl},

title={Estimation of wind energy production in relation to orographic complexity - A reliability study of two conventional computer software},

abstract={The aim with this thesis is to compare two wind simulation software to simulate
energy production which are based on two different flow models; a
linear and a non-linear. The test parameter is orographic complexity and
the test software is WAsP, which is based on the linear model and WindSim,
which is based on the non-linear model. The test sites are N¨asudden and
Hunnflen which have low orographic complexity and high orographic complexity
respectively. At each site turbines with a long record of production
are selected.
In a first step the basics of wind approximations, measurements and conversion
is presented. The aim with this is to present the input data for the
flow models but also to show how complex winds, and thus wind simulations,
are. Thereafter, the flow models are presented briefly.
The simulation is performed by a preparation process in a third software
called WindPRO and is followed by the actual simulations in the two simulation
software. The results are then compared to measured production data
of the chosen wind turbines.
The results indicate that WAsP and WindSim estimate the energy production
at a similar level which is close to the measured production when
the orographic complexity is low. The WindSim simulation is very time
consuming when comparing it to the WAsP simulation. When it comes to
high orographic complexity the results indicate that WindSim estimates the
energy production in a very close range to the measured production. The
WAsP simulation, however, overestimates the energy production with about
40%. In the case with high orographic complexity the results show that
a flow model that can calculate turbulence is needed. The model used in
WindSim can model turbulence and therefore estimates an accurate energy
production.},

publisher={Institutionen för energi och miljö, Elteknik, Chalmers tekniska högskola},

place={Göteborg},

year={2010},

note={83},

}

** RefWorks **

RT Generic

SR Electronic

ID 174005

A1 Nilsson, Karl

T1 Estimation of wind energy production in relation to orographic complexity - A reliability study of two conventional computer software

YR 2010

AB The aim with this thesis is to compare two wind simulation software to simulate
energy production which are based on two different flow models; a
linear and a non-linear. The test parameter is orographic complexity and
the test software is WAsP, which is based on the linear model and WindSim,
which is based on the non-linear model. The test sites are N¨asudden and
Hunnflen which have low orographic complexity and high orographic complexity
respectively. At each site turbines with a long record of production
are selected.
In a first step the basics of wind approximations, measurements and conversion
is presented. The aim with this is to present the input data for the
flow models but also to show how complex winds, and thus wind simulations,
are. Thereafter, the flow models are presented briefly.
The simulation is performed by a preparation process in a third software
called WindPRO and is followed by the actual simulations in the two simulation
software. The results are then compared to measured production data
of the chosen wind turbines.
The results indicate that WAsP and WindSim estimate the energy production
at a similar level which is close to the measured production when
the orographic complexity is low. The WindSim simulation is very time
consuming when comparing it to the WAsP simulation. When it comes to
high orographic complexity the results indicate that WindSim estimates the
energy production in a very close range to the measured production. The
WAsP simulation, however, overestimates the energy production with about
40%. In the case with high orographic complexity the results show that
a flow model that can calculate turbulence is needed. The model used in
WindSim can model turbulence and therefore estimates an accurate energy
production.

PB Institutionen för energi och miljö, Elteknik, Chalmers tekniska högskola,

LA eng

LK http://publications.lib.chalmers.se/records/fulltext/174005/174005.pdf

OL 30