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Storing Wind Energy=

2 Wind Turbines in = 2007

The Problem=

The Problem=

The Interest

How Peak Shaving Wo= rks

Energy from Power C= ompany

Our Task:

Types of Storage Sy= stems

What We Did=

Found Power Output<= /a>

Research

Simulations=

Method of Peak Shav= ing

Hydrogen Storage

Parameters<= /font>

Parameters<= /font>

Costs

Flywheels

Shortcoming – Energy Capacity

Costs

Superconducting Mag= netic

Superconducting Mag= netic

Costs

Pumped Hydroelectri= c

Gustavus Site

Parameters<= /font>

Parameters<= /font>

Costs

Costs

Vanadium Redox Batt= eries

Vanadium Redox Batt= eries

Parameters<= /font>

Costs

Compressed Air<= /b>

Compressed Air<= /b>

Costs

Conclusion<= /font>

What Now?

The End

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Storing Wind Energy=
Summer 2006:=
Prof. Chuck Niederr= iter
Jared Sieling
Danielle Berg

2 Wind Turbines in = 2007

The Problem=
The wind won’t blow= in synch with our Energy Consumption.

The Problem=
Now we buy around 1= 6.2 million kWh per year.
With straight use o= f 2 turbines, we could lower to 8.5 million kWh, and have 2.8 million kWh left over.
Produce more than w= e use 26% of the time.

The Interest
We get charged in 2= ways:
Consumpton- kWhs us= ed
Sell extra for $.02= 5/kWh
Buy for $.0455/kWh<= /font>
Demand- Peak power = required
Pay $14.25/kW for e= ach month
Not effected by ins= tallation of turbines

How Peak Shaving Wo= rks
Store excess energy= during non-peak times.
Insert the energy b= ack into the system during the peak period.

Energy from Power C= ompany
Before

Our Task:
Investigate differe= nt types of energy storage systems and determine if they are feasible and cost benefi= cial for Gustavus.

Types of Storage Sy= stems
Hydrogen
Flywheels
Pumped Hydroelectri= c
Compressed Air
Superconducting mag= netic
Batteries

What We Did=
Took wind data from= 50 meter tower over the past couple years.
Extrapolated wind s= peed at 80 meters.

Found Power Output<= /a>
Fit wind data to di= fferent power curves given by turbine companies.

Research
Researched paramete= rs of different systems to find the input, storage, and output requirements.
These showed how fa= st and how much energy could be stored and expelled.

Simulations=
Received energy con= sumption from power company, and place side by side with energy output of the turbines.
Created simulations= to store excess energy, and pump it back in at times of high usage.

Method of Peak Shav= ing
There were lots of complications during the peak shaving process.
Over shaving (stora= ge shortage)
Under shaving (maxi= mization)
Different methods o= f peak shaving had significant effect on money saved.

Hydrogen Storage
Electrolyzer=
Uses electric energ= y to break water into hydrogen and oxygen.
Storage Tank=
Stores compressed h= ydrogen.
Fuel Cell
Combines hydrogen a= nd oxygen into water and produces electric energy.

Parameters<= /font>
Electrolyzer:
4.3 kWh/cubic meter=
80 cubic meters/hou= r
344 kW
Storage tank:
500 cubic meters
Pressure from 1-200= bar
Fuel Cell
200-700 kW (max 2.5= GW)
.5 cubic meters/kWh=

Parameters<= /font>

Costs
Electrolyzer with h= olding tank
$2000/kW
Fuel Cell
$1000/kW
500 kW system
Costs $1.2 million<= /font>
Saves $80,000/year = on peak charges

Flywheels
Stores energy as ro= tational kinetic energy.
Can provide peak po= wer nearly instantaneously

Shortcoming – Energy Capacity
Largest commerciall= y available:
250 kW but stores 2= 5 kWh
In order to get 500= kW for 8 hrs, need 160 units.

Costs
Steel flywheel esti= mated $500/kW
System cost of $20 = million
Carbon Fiber estima= ted $3000/kW
System cost of $120= million
Savings of $75,000/= year

Superconducting Mag= netic
Stores energy in ma= gnetic field by running direct current in a superconducting coil.
Typically over 95% = efficient.

Superconducting Mag= netic
Systems run from 1-= 400 MW
Store 1-20 MWh
Largest system can = supply peak power for 100 seconds
Lose .1% of energy = per hour

Costs
Estimates around $1= 000/kW
500 kW system costs= $500,000

Pumped Hydroelectri= c
Pump water up with = excess energy, and flow down when needed.
Energy is determine= d by how much water, and the head (distance between upper and lower reservoir).

Gustavus Site
Use Minnesota river= as lower water source.
Dig upper reservoir= on campus.
Head of 50m<= /td>

Parameters<= /font>
With such small hea= d, depth of upper reservoir can be no more than 10m
Pump size:
784 kW
2 cubic meters/sec<= /font>
Turbine size:
Range from 200-700 = kW
.5-1.6 cubic meters= /sec

Parameters<= /font>

Costs
Installation costs = are very site specific.
Estimate between $1,500-$2,000/kW

Costs
500 kW system with = 180,000 cubic meter reservoir (134m x 134m x 10m):
Cost $1 million
Save $60,000/year

Vanadium Redox Batt= eries
Stores energy chemi= cally by oxidizing a vanadium electrolyte
Produces energy by = reversing process and reducing electrolyte

Vanadium Redox Batt= eries
70-80% efficient
Range from 50 kW to= 10 MW
Storage capacity is= independent of battery power

Parameters<= /font>

Costs
Estimates between $= 350-$600/kWh
500 kW 8 hr system = costs between $1.4-$2.4 million
Save around $67,000=

Compressed Air<= /b>
Stores energy by co= mpressing air to pressure between 45-75 bar
Compressed air is c= ombined with gas and used in combustion turbine
Typically, 2/3 of e= nergy produced is used to compress air.

Compressed Air<= /b>
Requires large amou= nt of storage space
Underground aquifer= or cavern
500 kw-8 hr system = would need at least 12,000 cubic meters

Costs
Estimates at $350-$= 500/kW
500 kW system costs= between $175,000-$250,000
Supposes a storage = site is available
Natural gas is addi= tional cost
In the process of f= inding these prices

Conclusion<= /font>
What do we want to = do?
Many technologies w= ill become more affordable in just a couple years
Batteries are an up= and coming technology
If we had to purcha= se today?
Hydrogen system has= quickest payback

What Now?
This research will = be used to inform a proposal for grant money in the future.
May be incorporated= into a new renewable energy course here at Gustavus

The End
Questions?

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2 Wind Turbines in 2007
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The Problem
<= /td> =
The wind won’t blow in synch with
our Energy Consumption.
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The Problem
<= /td> = = <= /td>
n N= ow we buy around 16.2 million kWh
p= er year.
n W= ith straight use of 2 turbines, we
c= ould lower to 8.5 million kWh, and
h= ave 2.8 million kWh left over.
n P= roduce more than we use 26% of
t= he time.
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The Interest
<= /td> <= /td> <= /td> = <= /td> <= /td> <= /td> <= /td> <= /td>
= We get charged in 2 ways:
= • C= onsumpton- kWhs used
n S= ell extra for $.025/kWh
n B= uy for $.0455/kWh
= • = Demand- Peak power required
n P= ay $14.25/kW for each month
n N= ot effected by installation of turbines
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How Peak Shaving Works
<= /td> <= /td> =
n S= tore excess energy during non-peak
ti= mes.
n I= nsert the energy back into the
s= ystem during the peak period= .
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Energy from Power Company
After
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Our Task:
<= /td> =
Investigate different types of
energy storage systems and
determine if they are feasible and
cost beneficial for Gustavus.
------=_NextPart_01C7775E.FFC15540 Content-Location: file:///C:/51723D89/StoringWindPower(studenttalk)_files/v3_slide0010.htm Content-Transfer-Encoding: quoted-printable Content-Type: text/html; charset="windows-1252" Storing Wind Power
Types of Storage Systems
<= /td> <= /td> <= /td> <= /td>
n Hy= drogen
n Fl= ywheels
n Pu= mped
H= ydroelectric
n C= ompressed Air
n S= uperconducting
ma= gnetic
n Ba= tteries
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What We Did
<= /td> <= /td> = <= /td> <= /td>
n T= ook wind data from
5= 0 meter tower over
t= he past couple
ye= ars.
n E= xtrapolated wind
s= peed at 80 meters.
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Found Power Output
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n F= it wind data to different power
c= urves given by turbine companies.
kW
Wind Speed (m= ph)
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Research
<= /td> = = <= /td> <= /td> <= /td>
n R= esearched parameters of different
s= ystems to find the input, storage,
a= nd output requirements.
n T= hese showed how fast and how
m= uch energy could be stored and
e= xpelled.
------=_NextPart_01C7775E.FFC15540 Content-Location: file:///C:/51723D89/StoringWindPower(studenttalk)_files/v3_slide0028.htm Content-Transfer-Encoding: quoted-printable Content-Type: text/html; charset="windows-1252" Storing Wind Power
Simulations
<= /td> = = <= /td> <= /td> <= /td>
n R= eceived energy consumption from power
c= ompany, and place side by side with
e= nergy output of the turbines.
n C= reated simulations to store excess
e= nergy, and pump it back in at times of
h= igh usage.
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Method of Peak Shaving
<= /td> <= /td> <= /td> = <= /td> <= /td> <= /td> <= /td>
n T= here were lots of complications
d= uring the peak shaving process.
• O= ver shaving (storage shortage)
• U= nder shaving (maximization)
n = Different methods of peak shaving
h= ad significant effect on money
sa= ved.
------=_NextPart_01C7775E.FFC15540 Content-Location: file:///C:/51723D89/StoringWindPower(studenttalk)_files/v3_slide0019.htm Content-Transfer-Encoding: quoted-printable Content-Type: text/html; charset="windows-1252" Storing Wind Power
Hydrogen Storage
<= /td> <= /td> <= /td> <= /td> <= /td> <= /td> <= /td> <= /td>
n El= ectrolyzer
= • = Uses electric energy to
b= reak water into
= hydrogen and oxygen.
n S= torage Tank
= • S= tores compressed
hy= drogen.
n Fu= el Cell
= • = Combines hydrogen and
= oxygen into water and
p= roduces electric
en= ergy.
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