Performance optimization of polymer electrolyte membrane fuel cells using the Nelder-Mead algorithm. (3rd August 2017)
- Record Type:
- Journal Article
- Title:
- Performance optimization of polymer electrolyte membrane fuel cells using the Nelder-Mead algorithm. (3rd August 2017)
- Main Title:
- Performance optimization of polymer electrolyte membrane fuel cells using the Nelder-Mead algorithm
- Authors:
- Piela, Piotr
Mitzel, Jens
Gülzow, Erich
Hunger, Jürgen
Kabza, Alexander
Jörissen, Ludwig
Valle, Francesco
Pilenga, Alberto
Malkow, Thomas
Tsotridis, Georgios - Abstract:
- Abstract: The direct-search simplex method for function optimization has been adapted to performance optimization of polymer electrolyte membrane fuel cells (PEMFCs). The established method is strongly application oriented and uses only experimentally determined data for optimization. It is not restricted to discrete parameters optimums and does not require the use of third-party software or computational resources. Hence, it is easy to implement in fuel cell testing stations. The optimization consists of finding, for a given fuel cell load, an optimum set of values of the 7 fuel cell operating parameters: the fuel cell temperature, the reactants' stoichiometric ratios, the reactants' inlet relative humidity, and the reactants' outlet pressures, resulting in the highest fuel cell performance. The performance is measured using a scalar function of the operating parameters and the load and can be defined according to needs. Two PEMFC performance functions: the fuel cell voltage and the system-related fuel cell efficiency were optimized using the procedure for practically sized PEMFC stacks of two designs. With respect to the nominal operating conditions defined as optimal for each stack design by its manufacturer, the gains from the optimization procedure were up to over 12% and up to over 7% for the stack voltage and efficiency, respectively. The validation of the procedure involved 5 stack specimens and four laboratories and consistent results were obtained. Highlights: AAbstract: The direct-search simplex method for function optimization has been adapted to performance optimization of polymer electrolyte membrane fuel cells (PEMFCs). The established method is strongly application oriented and uses only experimentally determined data for optimization. It is not restricted to discrete parameters optimums and does not require the use of third-party software or computational resources. Hence, it is easy to implement in fuel cell testing stations. The optimization consists of finding, for a given fuel cell load, an optimum set of values of the 7 fuel cell operating parameters: the fuel cell temperature, the reactants' stoichiometric ratios, the reactants' inlet relative humidity, and the reactants' outlet pressures, resulting in the highest fuel cell performance. The performance is measured using a scalar function of the operating parameters and the load and can be defined according to needs. Two PEMFC performance functions: the fuel cell voltage and the system-related fuel cell efficiency were optimized using the procedure for practically sized PEMFC stacks of two designs. With respect to the nominal operating conditions defined as optimal for each stack design by its manufacturer, the gains from the optimization procedure were up to over 12% and up to over 7% for the stack voltage and efficiency, respectively. The validation of the procedure involved 5 stack specimens and four laboratories and consistent results were obtained. Highlights: A systematic method for finding optimum PEMFC operating conditions is introduced. The method is used to find conditions of maximum performance of PEMFC stacks. Improvements over 12% in stack voltage at a fixed load are shown. Improvements over 7% in system-related stack efficiency at a fixed load are shown. … (more)
- Is Part Of:
- International journal of hydrogen energy. Volume 42:Number 31(2017)
- Journal:
- International journal of hydrogen energy
- Issue:
- Volume 42:Number 31(2017)
- Issue Display:
- Volume 42, Issue 31 (2017)
- Year:
- 2017
- Volume:
- 42
- Issue:
- 31
- Issue Sort Value:
- 2017-0042-0031-0000
- Page Start:
- 20187
- Page End:
- 20200
- Publication Date:
- 2017-08-03
- Subjects:
- Polymer electrolyte membrane fuel cells -- Performance optimization -- Operating conditions -- Efficiency -- Simplex search -- Stack testing
Hydrogen as fuel -- Periodicals
Hydrogène (Combustible) -- Périodiques
Hydrogen as fuel
Periodicals
665.81 - Journal URLs:
- http://www.sciencedirect.com/science/journal/03603199 ↗
http://www.elsevier.com/journals ↗ - DOI:
- 10.1016/j.ijhydene.2017.06.167 ↗
- Languages:
- English
- ISSNs:
- 0360-3199
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 4542.290000
British Library DSC - BLDSS-3PM
British Library HMNTS - ELD Digital store - Ingest File:
- 2926.xml