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WinDS-H2 Model and Analysis

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

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WinDS-H2 Model and Analysis

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

  2. 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?

  3. 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

  4. HyDS Regions

  5. Development of HyDSGeneral 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

  6. The Grid Fuel cell Fuel cell H2 Storage H2 Storage Electrolyzer Distr Electrolysis H2 SMR H2 H2-fuel transport City-gate Market HyDS Representation of H2 Hydrogen Electricity

  7. 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.

  8. Base Case H2 Production* from Wind * Kilotons/yr

  9. Capacities in the Base Case

  10. Hydrogen Produced in the Base Case

  11. H2 from SMR

  12. Base Case Electricity Capacity

  13. 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 $/MBtu

  14. Base Case 2010 H2 Technologies Cost/Performance

  15. Modeling the Inter-regional Transport of H2 from Wind

  16. Wind and Fuel Cell Capacities with Reduced Stationary Fuel Cell Costs

  17. Conclusions • Wind’s most substantial contribution may be as power to the grid to meet the additional demand for power required by distributed electrolyzers. • 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 (due to controls cost reductions). • 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 remaining.

  18. Disclaimer and Government License This work has been authored by Midwest Research Institute (MRI) under Contract No. DE-AC36-99GO10337 with the U.S. Department of Energy (the “DOE”). The United States Government (the “Government”) retains and the publisher, by accepting the work for publication, acknowledges that the Government retains a non-exclusive, paid-up, irrevocable, worldwide license to publish or reproduce the published form of this work, or allow others to do so, for Government purposes.  Neither MRI, the DOE, the Government, nor any other agency thereof, nor any of their employees, makes any warranty, express or implied, or assumes any liability or responsibility for the accuracy, completeness, or usefulness of any information, apparatus, product, or process disclosed, or represents that its use would not infringe any privately owned rights. Reference herein to any specific commercial product, process, or service by trade name, trademark, manufacturer, or otherwise does not constitute or imply its endorsement, recommendation, or favoring by the Government or any agency thereof. The views and opinions of the authors and/or presenters expressed herein do not necessarily state or reflect those of MRI, the DOE, the Government, or any agency thereof.

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