Control of balance of plant components for solid oxide fuel cell systems with sensitivity to carbon formation

Solid oxide fuel cell systems have the potential to provide efficient, low greenhouse gas emitting power without the availability problems of both wind and solar energy. SOFC systems operate at high temperatures (600 C) in order to reduce ionic transport losses through a ceramic electrolyte. The benefits of the ceramic electrolyte include not requiring platinum based catalysts and a robustness to fuel composition. However such high temperatures create engineering challenges in construction, operation, and durability of the system as a whole. Both fuel and air must be pre-heated prior to entering the fuel cell stack. In order to ensure that carbon does not build up and degrade the system some form of fuel preprocessing is required. To move air and fuel through the system, blowers and valves must be used. Additionally during system start up, a method for pre-heating the fuel cell to within an operating range is required. All these components are tightly coupled to the time response and overall performance of the system. They also all have constraints and operating ranges, for example the fuel reformer must remain within a set temperature range or risk damage. Thus model predictive control is a natural choice to ensure that the maximum load following and overall system efficiency can be maintained without damaging components. This thesis analyzes system wide control of a solid oxide fuel cell system comprised of a tubular stack bundle, fuel reformer, air pre-heat exchanger, tailgas burner, and air blowers. Control oriented, dynamic component models have been created, allowing for estimation of temperatures and gas compositions throughout the system. The effects on system response of each component is analyzed, providing insight into realizeable response to load changes and sensitivity to noisy input parameters such as varying fuel stocks.

Name thesis:degree_name

Doctor of Philosophy (Ph.D.)

Level thesis:degree_level

Doctoral

Discipline thesis:degree_discipline

Electrical Engineering and Computer Science

Grantor dc:publisher

Colorado School of Mines. Arthur Lakes Library

Year dc:date.issued

2012

Author dc:creator

• Kupilik, Matthew J.

Advisor dc:contributor.advisor

• Vincent, Tyrone

Committee members dc:contributor.committeemember

• Sullivan, Neal P.
• Mehta, Dinesh P.
• Moore, Kevin L., 1960-
• Braun, Robert J.

• system identification
• fuel cell modeling
• linear parameter varying
• model predictive control
• fuel cell control
• sofc

Statement dc:rights

• Copyright of the original work is retained by the author.

Language dc:language.iso

eng, English

Identifier

T 7109

OAI identifier oai:identifier

oai:repository.mines.edu:11124/76806