Hydrogen Deployment System (HyDS) Model and Analysis
Project Summary
| Full Title: |
Hydrogen Deployment System (HyDS) Model and Analysis |
| Previous Title(s): |
WinDS-H2 Model and Analysis
|
| Project ID: |
100 |
| Principal Investigator: |
Walter Short |
| Brief Description: |
The HyDS Modeling Environment, or HyDS ME, is a GIS-based infrastructure optimization model. The model combines existing cash flow models, GIS capability, and an optimization routine to determine the layout of a least-cost infrastructure. |
| Keywords: |
Hydrogen production; electrolysis; costs; fuel cells |
Purpose
Initially, electrolytic H2 production was added to a national electricity capacity expansion model to determine the loads induced on the electric grid by H2 electrolytic production, the use of fuel cells for peaking power, and the cost/benefit associated with electrolyzers colocated with wind farms. As the project progressed, a minimum spanning tree algorithm was developed to account for production and delivery economy of scale, geographic extent, and natural gas price forecasts.
Performer
| Principal Investigator: |
Walter Short |
| Organization: | National Renewable Energy Laboratory (NREL) |
|---|
| Address: | 1617 Cole Blvd.
Golden, CO 80401 |
|---|
| Telephone: | 303-384-7368 |
|---|
| Email: | Walter_Short@nrel.gov |
|---|
Sponsor(s)
Period of Performance
| Start: |
October 2003
|
| End: |
September 2007
|
Project Description
| Type of Project: |
Model |
| Category: |
Cross-Cutting, Energy Infrastructure, Hydrogen Fuel Pathways |
| Objectives: |
HyDS 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, and considers competition with other distributed sources of H2 production (distributed electrolysis and steam methane reforming).
Analytical Objectives
- Identify the regions in the U.S. 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 the production of hydrogen and electricity.
- Determine the technologies that will be used to provide hydrogen during the transition to a hydrogen economy.
- Understand the cost reductions and performance improvements that will be required to make hydrogen technologies come on-line sooner.
- Determine what external influences/polices will enable hydrogen technologies to come on-line sooner.
|
| Methodology/Approach: |
The HyDS ME uses a modified minimum spanning tree algorithm to compete different production and delivery technologies to determine a least-cost solution. |
| Timeframe Studied: |
2005 - 2050 |
Products/Deliverables
| |
Description: FY 2006 Progress Report
Publication Title: FY 2006 DOE Hydrogen Program Progress Report
Article/Abstract Title: VIII.4 Energy Systems Analysis: HyDS Modeling Environment
Page number(s): 1093
Publisher: U.S. Department of Energy
Author Name(s): Parks, Keith; Milbrandt, Anelia; Davies, Kenneth
(PDF 807 KB) Download Adobe Reader.
Publication Date:
November 2006
Description: FY 2005 Progress Report
Publication Title: FY 2005 DOE Hydrogen Program Progress Report
Article/Abstract Title: III.4 Energy Systems Analysis: Hydrogen Deployment System Modeling
Page number(s): 35
Publisher: U.S. Department of Energy
Author Name(s): Short, Walter; Parks, Keith
(PDF 160 KB) Download Adobe Reader.
Publication Date:
November 2005
Description: 2005 DOE Program Review Presentation
Article/Abstract Title: WinDS-H2 Model and Analysis
Author Name(s): Short, Walter; Blair, Nate; Heimiller, Donna; Parks, Keith
(PDF 1.1 MB) Download Adobe Reader.
Publication Date:
March 2005
Description: FY 2004 Progress Report
Publication Title: FY 2004 DOE Hydrogen Program Progress Report
Article/Abstract Title: II.I.3 WinDS-H2 Model and Analysis
Page number(s): 157
Publisher: U.S. Department of Energy
Author Name(s): Short, Walter; Heimiller, Donna; Berlinski, Michael; Blair, Nate
(PDF 237 KB) Download Adobe Reader.
Publication Date:
November 2004
|
Date Last Updated: 12/08/2006
