winds-h2 model and analysis · 2013. 9. 26. · winds-h2 model and analysis walter short, nate...

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WinDS-H2 Model and Analysis Walter Short, Nate Blair, Donna Heimiller, Keith Parks National Renewable Energy Laboratory May 27, 2005 Project AN4 This presentation does not contain any proprietary or confidential information NREL/PR-560-38187

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Page 1: WinDS-H2 Model and Analysis · 2013. 9. 26. · WinDS-H2 Model and Analysis Walter Short, Nate Blair, Donna Heimiller, Keith Parks National Renewable Energy Laboratory. May 27, 2005

WinDS-H2 Model and Analysis

Walter Short, Nate Blair, Donna Heimiller, Keith ParksNational Renewable Energy Laboratory

May 27, 2005

Project AN4

This presentation does not contain any proprietary or confidential information

NREL/PR-560-38187

Page 2: WinDS-H2 Model and Analysis · 2013. 9. 26. · WinDS-H2 Model and Analysis Walter Short, Nate Blair, Donna Heimiller, Keith Parks National Renewable Energy Laboratory. May 27, 2005

Project Overview

Schedule–

Start Sept 2003–

End Oct 2004–

100% complete•

Total funding $225k–

DOE $225k–

FY04 $225k–

FY05 $200k new focus started April 2005

Technology Validation Barriers addressed–

C. Lack of a Macro-System Model

D. Stove-piped/siloed analytical capabilities

E. Transition to a H2

economy

Partners/collaborators–

H2A–

Utility Wind Interest Group–

UC Davis H2

System Modeling Workshop

NREL: Wind, GIS

Page 3: WinDS-H2 Model and Analysis · 2013. 9. 26. · WinDS-H2 Model and Analysis Walter Short, Nate Blair, Donna Heimiller, Keith Parks National Renewable Energy Laboratory. May 27, 2005

Objective

• Identify the regions in the United States that have the greatest potential for employing wind turbines to produce both electricity and hydrogen, and the conditions and time frame under which they are likely to become economical?

• Identify the opportunities for reducing system cost, by designing hybrid wind-

based systems specifically for production of electricity and hydrogen?

Page 4: WinDS-H2 Model and Analysis · 2013. 9. 26. · WinDS-H2 Model and Analysis Walter Short, Nate Blair, Donna Heimiller, Keith Parks National Renewable Energy Laboratory. May 27, 2005

Approach •

Developed a regional model that can simulate the market potential of both hydrogen and electricity from wind. Requires evaluation of both hydrogen and electricity as joint products

HyDS (Hydrogen Deployment Systems model -formerly WinDS-H2) is a multi-regional, multi-time-period model that:

Enables accurate tracking of H2 transport and electricity transmission from remote wind sites

Accounts for the intermittency of wind•

Considers competition with other distributed sources of H2 production –

distributed electrolysis and SMR

Page 5: WinDS-H2 Model and Analysis · 2013. 9. 26. · WinDS-H2 Model and Analysis Walter Short, Nate Blair, Donna Heimiller, Keith Parks National Renewable Energy Laboratory. May 27, 2005

HyDS Regions

Page 6: WinDS-H2 Model and Analysis · 2013. 9. 26. · WinDS-H2 Model and Analysis Walter Short, Nate Blair, Donna Heimiller, Keith Parks National Renewable Energy Laboratory. May 27, 2005

Technical Accomplishments

Completed the HyDS model to assess H2

-from-wind potential

Developed a base case and sensitivity cases•

Showed that:–

If program goals are met, H2

production at wind sites competitive in many areas of the country when

Wind close to load center•

High-quality, fully developed wind site, very remote from load–

Distributed electrolysis generally preferred over wind-sited electrolysis,

Distributed SMR, the preferred initial distributed production technology, wanes in later years with high gas prices

Page 7: WinDS-H2 Model and Analysis · 2013. 9. 26. · WinDS-H2 Model and Analysis Walter Short, Nate Blair, Donna Heimiller, Keith Parks National Renewable Energy Laboratory. May 27, 2005

Development of HyDS General Characteristics of HyDS

Linear program cost minimization for each of 26 two-year periods from 2000 to 2050

Includes hydrogen production from wind electrolysis, distributed

electrolysis, and steam methane reforming

Hydrogen used for transportation demands and/or on-peak electricity production

Hydrogen transport within and between regions•

Sixteen time slices in each year: 4 daily and 4 seasons•

5 wind classes (3-7), onshore and offshore shallow and deep•

Other generation technologies –

hydroelectricity, gas CT, gas CC, 4 coal technologies, nuclear, gas/oil steam

Existing and new transmission lines

Page 8: WinDS-H2 Model and Analysis · 2013. 9. 26. · WinDS-H2 Model and Analysis Walter Short, Nate Blair, Donna Heimiller, Keith Parks National Renewable Energy Laboratory. May 27, 2005

HyDS Representation of H2

Electrolyzer

H2 Storage

H2-fuel transport

Fuel cell

The Grid

Distr Electrolysis H2 SMR H2

City-gate Market

Fuel cell

H2 Storage

Hydrogen

Electricity

Page 9: WinDS-H2 Model and Analysis · 2013. 9. 26. · WinDS-H2 Model and Analysis Walter Short, Nate Blair, Donna Heimiller, Keith Parks National Renewable Energy Laboratory. May 27, 2005

Modeling Assumptions for H2

Hydrogen production and storage–

H2

produced only during off-peak electric load times–

Daily storage in wind turbine towers

Hydrogen for transportation fuel–

Competed on the basis of fuel cost

Produce up to regional demand level as long as you can make a profit at $2/kg at city gate (base case).

Hydrogen as a means of storing electricity–

H2

used in fuel cells only during on-peak times when the wind generators are not fully active, i.e. when there is transmission capacity available.

Page 10: WinDS-H2 Model and Analysis · 2013. 9. 26. · WinDS-H2 Model and Analysis Walter Short, Nate Blair, Donna Heimiller, Keith Parks National Renewable Energy Laboratory. May 27, 2005

Model Improvements Since 2004 HFCIT Program Review

Refined representation of distributed SMR•

Changed inter-region H2

transport from trucks to pipelines•

Incorporated cost synergisms with wind, i.e. in-tower storage, reduced cost of joint control system for wind and electrolyzer –

roughly 12% savings on electrolyzer and fuel

cell costs at windsite.•

Added possibility of grid electricity to power electrolyzer at a wind site

Added electrolysis/storage/fuel cells to HyDS in the general grid as a storage option

Changed county-gate markets to city-gate markets

Page 11: WinDS-H2 Model and Analysis · 2013. 9. 26. · WinDS-H2 Model and Analysis Walter Short, Nate Blair, Donna Heimiller, Keith Parks National Renewable Energy Laboratory. May 27, 2005

Base Case H2

Production* from Wind

* Kilotons/yr

Page 12: WinDS-H2 Model and Analysis · 2013. 9. 26. · WinDS-H2 Model and Analysis Walter Short, Nate Blair, Donna Heimiller, Keith Parks National Renewable Energy Laboratory. May 27, 2005

Capacities in the Base Case

0

5

10

15

20

25

2030 2040 2050

GW

e

Wind electrolyzersWind fuel cellsDist. ElectrolyzersDist. fuel cellsAdditional Wind

Page 13: WinDS-H2 Model and Analysis · 2013. 9. 26. · WinDS-H2 Model and Analysis Walter Short, Nate Blair, Donna Heimiller, Keith Parks National Renewable Energy Laboratory. May 27, 2005

Hydrogen Produced in the Base Case

0

1

2

3

4

5

2030 2040 2050

Billi

ons

of K

g

Wind-sited H2 fuel

Wind-sited H2 from grid power

Wind-sited H2 to fuel cells

Distr H2 fuel

Page 14: WinDS-H2 Model and Analysis · 2013. 9. 26. · WinDS-H2 Model and Analysis Walter Short, Nate Blair, Donna Heimiller, Keith Parks National Renewable Energy Laboratory. May 27, 2005

H2

from SMR

0

20

40

60

80

100

120

140

2000

2004

2008

2012

2016

2020

2024

2028

2032

2036

2040

2044

2048

H2

Prod

uctio

n (B

kg)

Cum Wind H2 fuel (Bkg)Distr Elec (Bkg)SMR (Bkg)Distr H2 to fcell (Bkg)

Page 15: WinDS-H2 Model and Analysis · 2013. 9. 26. · WinDS-H2 Model and Analysis Walter Short, Nate Blair, Donna Heimiller, Keith Parks National Renewable Energy Laboratory. May 27, 2005

Base Case Electricity Capacity

0

500

1000

1500

2000

2500

3000

2000 2010 2020 2030 2040 2050

Year

GW

e

Wind

nuclear

o-g-s

Coal-IGCC

Coal-new

Coal-old-noscrubCoal-old-scrub

Page 16: WinDS-H2 Model and Analysis · 2013. 9. 26. · WinDS-H2 Model and Analysis Walter Short, Nate Blair, Donna Heimiller, Keith Parks National Renewable Energy Laboratory. May 27, 2005

General Base Case Data Inputs

Fossil Fuel Prices – Source: AEO2004

Transportation fuel demand based on state gasoline demand and population; grows at 1.9%/year

Electric demands by NERC region –

1.8%/year -

Source AEO2004

0

5

10

2002

2010

2025

2050

GaspriceCoalprice

$/MBtu

Page 17: WinDS-H2 Model and Analysis · 2013. 9. 26. · WinDS-H2 Model and Analysis Walter Short, Nate Blair, Donna Heimiller, Keith Parks National Renewable Energy Laboratory. May 27, 2005

Base Case 2010 H2

Technologies Cost/Performance

Technology Capital Cost Efficiency %

Electrolyzer $150/kWe 80

Fuel Cell $400/kWe 50

Steam Methane Reformer

$4/kg-yr 70

Page 18: WinDS-H2 Model and Analysis · 2013. 9. 26. · WinDS-H2 Model and Analysis Walter Short, Nate Blair, Donna Heimiller, Keith Parks National Renewable Energy Laboratory. May 27, 2005

Modeling the Inter-regional Transport of H2

from Wind

y = 0.0023x + 0.381R2 = 0.9461

$0.00

$1.00

$2.00

$3.00

$4.00

$5.00

0 100 200 300 400 500 600 700 800 900

One-Way Delivery Distance (km)

Hyd

roge

n D

eliv

ery

Cos

t ($/

kg)

Compressed Gas Truck

Liquid H2 Truck

Pipeline (75 mi of 4-inch, remainder 8-inch)

Linear (Pipeline (75 mi of 4-inch, remainder 8-inch))

Page 19: WinDS-H2 Model and Analysis · 2013. 9. 26. · WinDS-H2 Model and Analysis Walter Short, Nate Blair, Donna Heimiller, Keith Parks National Renewable Energy Laboratory. May 27, 2005

Wind and Fuel Cell Capacities with Reduced Stationary Fuel Cell Costs

050

100150200250300

2020

2030

2040

2050

GW

e

Base WindDirect

FC200 WindDirect

FC200electrolyzers

FC200 FuelCells

Page 20: WinDS-H2 Model and Analysis · 2013. 9. 26. · WinDS-H2 Model and Analysis Walter Short, Nate Blair, Donna Heimiller, Keith Parks National Renewable Energy Laboratory. May 27, 2005

Conclusions•

Where wind resources are close to transportation fuel demand centers, electrolyzers at wind farms may be preferred to electrolyzers distributed close to the demand center.

Wind’s most substantial contribution may be as power to the grid to meet the additional demand for power required by distributed electrolyzers.

The use of electrolyzers and fuel cells at wind sites to store/shift wind generation from off-peak to on-peak periods occurs almost exclusively at remote, well-developed wind sites with good wind resource.

Page 21: WinDS-H2 Model and Analysis · 2013. 9. 26. · WinDS-H2 Model and Analysis Walter Short, Nate Blair, Donna Heimiller, Keith Parks National Renewable Energy Laboratory. May 27, 2005

Future Research and Model Improvements

Focus on other central hydrogen production and transportation technologies–

Add other central hydrogen sources, e.g. central SMR, coal gasification, biomass

Incorporate economies of scale in production for these new central sources

Optimize pipeline routes from these central production plants incorporating

pipeline economies of scale •

increasing capacity utilization after installation

Examine/identify scenarios with increased hydrogen production–

Collaborate with other scenario developers

Page 22: WinDS-H2 Model and Analysis · 2013. 9. 26. · WinDS-H2 Model and Analysis Walter Short, Nate Blair, Donna Heimiller, Keith Parks National Renewable Energy Laboratory. May 27, 2005

Producer -Delivered -

Supply Curve for H2 Supply from SMR

$0.00

$0.50

$1.00

$1.50

$2.00

$2.50

$3.00

0 200 400 600 800

H2 Production (kg/day 000s)

$/kg

Supply Curve by City

Tampa $1.06

Jacksonville $1.08

St. Petersburg $1.11

Miami $1.13

Lakeland $1.14

Fort Lauderdale $1.19

Boca Raton $1.27

Bradenton $1.28

Orlando $1.32

Gainesville $1.41

Sarasota $1.43

West Palm Beach $1.46

Tallahassee $1.50

Kissimmee $1.52

Melbourne $1.71

Pensacola $1.81

Fort Myers $1.84

Ocala $1.85

Fort Pierce $1.94

Key West $2.10

Naples $2.16

Leesburg $2.24

St. Augustine $2.40

Example H2 Regional Supply Curve

Page 23: WinDS-H2 Model and Analysis · 2013. 9. 26. · WinDS-H2 Model and Analysis Walter Short, Nate Blair, Donna Heimiller, Keith Parks National Renewable Energy Laboratory. May 27, 2005

Presentations•

American Wind Energy Association WindPower 2005, Denver CO, May 18 2005, poster

ITS-Davis Hydrogen Systems Modeling Workshop, September 20, 2004, Davis CA

15th

Annual U.S. Hydrogen Conference, April

27, 2004, Anaheim CA•

HFCIT Program Review, May 25, 2004

Page 24: WinDS-H2 Model and Analysis · 2013. 9. 26. · WinDS-H2 Model and Analysis Walter Short, Nate Blair, Donna Heimiller, Keith Parks National Renewable Energy Laboratory. May 27, 2005

Hydrogen Safety•

There are no hydrogen hazards associated with this project