Stochastic Energy Source Access Management (SESAM)
Project Summary
| Full Title: |
Stochastic Energy Source Access Management (SESAM): Infrastructure-integrative modular plant for hydrogen-electric co-generation |
| Project ID: |
140 |
| Principal Investigator: |
Kai Strunz |
Purpose
The model demonstrates a renewable power plant that is designed to seamlessly integrate with the given energy infrastructure while serving the dual purpose of generating electric power and hydrogen. A multilevel storage absorbs short-term shocks on the infrastructure while also compensating for intermittency of wind and solar energy conversion in the long term. The model supports in particular analysis and design of a hydrogen infrastructure with a high penetration of renewable energy.
Performer
| Principal Investigator: |
Kai Strunz |
| Organization: | University of Washington |
|---|
| Address: | Department of Electrical Engineering, Campus Box 352500
Seattle, WA 98195-2500 |
|---|
| Telephone: | 206-543 2386 |
|---|
| Email: | strunz@u.washington.edu |
|---|
| Additional Performers: |
Kristina Brock, former graduate student at the University of Washington; Henry Louie, graduate student at the University of Washington
|
Period of Performance
| Start: |
July 2002
|
| End: |
October 2005
|
Project Description
| Type of Project: |
Model |
| Category: |
Energy Infrastructure, Hydrogen Fuel Pathways |
| Objectives: |
Integration of renewable and hydrogen energy; control of renewable hydrogen-electric co-generation plants; network interface for renewable hydrogen-electric co-generation plants; transient behavior of renewable hydrogen-electric co-generation plants; design of multilevel storage for multiscale compensation. |
| Technologies Modeled: |
Wind energy conversion; fuel cell; electrolyzer; access-oriented storage (short-term storage); power electronic converters, control systems. |
| User Inputs: |
Renewable power; scheduled exchange of hydrogen with hydrogen infrastructure; scheduled exchange of electric power with electricity infrastructure; profile of local loads; initial conditions of storage. |
| Methodology/Approach: |
Block-diagram description; fuel cell modeling; electrolyzer modeling; storage modeling; wind energy conversion system modeling; power electronic converter modeling; electric network modeling; control system modeling; modeling of transients. |
| Hardware/Software Requirements: |
Models run on off-the-shelf PCs with software MATLAB/Simulink installed. |
| User Interface: |
The models are implemented in MATLAB/Simulink and make use of the interface provided by MATLAB/Simulink. |
| Outputs: |
Wind power; filling of energy storage; filling of hydrogen storage; power exchange with electricity infrastructure; power exchange with hydrogen infrastructure; diverse quantities pertaining to electrochemical conversion and power electronic conversion; control signals |
| Assumptions Inherent in Model: |
Power electronic converters represented as average models; fuel cell and electrolyzers can be represented at a level of accuracy necessary depending on whether short-term or long-term transients are considered. |
| Timeframe Studied: |
2005 - 2020 |
Products/Deliverables
| |
Description: Journal article
Publication Title: International Journal of Hydrogen Energy, Volume 31, Issue 9
Article/Abstract Title: Stochastic Energy Source Access Management: Infrastructure-integrative plant for sustainable hydrogen-electric co-generation
Page number(s): 1129
Publisher: Elsevier
Type of Publication: Journal
Author Name(s): Strunz, Kai; Brock, Kristina
Publication Date:
August 2006
Description: Conference Paper
Publication Title: Proceedings of the CIGRE/IEEE PES International Symposium of Electric Power Delivery Systems
Article/Abstract Title: Hybrid Plant of Renewable Stochastic Source and Multi-Level Storage for Emission-Free Deterministic Power Generation
Author Name(s): Strunz, Kai; Brock, Kristina
(PDF 560 KB) Download Adobe Reader.
Publication Date:
October 2003
|
Date Last Updated: 12/13/2006
