Optimal fuel cell system design considering functional performance and production costs

Xue, Deyi; Dong, Z.

doi:10.1016/s0378-7753(98)00142-6

Cited by 59 publications

(37 citation statements)

References 9 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…where I 1 is obtained using Equation (19), D p is the diameter of piston measured in inches, p 0 is the oil pressure measured in psi, R is the radius of center line of pad lining measured in inches, and d is the diameter of pad lining measured in inches. The pressure of disc, p, must not exceed the maximum allowable pressure.…”

Section: Pressure On Discmentioning

confidence: 99%

Modeling of Non-linear Relations among Different Design and Manufacturing Evaluation Measures for Multiobjective Optimal Concurrent Design

Yang

Xue

2006

Concurrent Engineering

Self Cite

View full text Add to dashboard Cite

This research introduces a new approach to model the non-linear relations among different design and manufacturing evaluation measures for multiobjective optimal concurrent design. In this approach, different design and manufacturing evaluation measures are mapped to comparable evaluation indices. The non-linear relation between an evaluation measure and its evaluation index is identified based on the least-square curve-fitting method. The weighting factors for different design and manufacturing evaluation indices, representing the importance measures of these indices in the multiobjective design optimization, are achieved using the pair-wise comparison method. An example case study of automobile caliper disc brake design considering 3 design evaluation measures and 1 manufacturing evaluation measure is given to illustrate the effectiveness of the introduced approach.

show abstract

Section: Pressure On Discmentioning

confidence: 99%

Modeling of Non-linear Relations among Different Design and Manufacturing Evaluation Measures for Multiobjective Optimal Concurrent Design

Yang

Xue

2006

Concurrent Engineering

Self Cite

View full text Add to dashboard Cite

show abstract

“…Their efficiency model was based on a linear polarisation curve. Similar objectives were considered by Xue and Dong [3] in their multi-objective optimisation of the 120 kW Ballard Mark V Transit Bus fuel cell system with the stack active intersection area and the air stoichiometric ratio as the design variables. Frangopoulos and Nakos [25] investigated the Ballard Mark V PEM fuel cell stack consisting of 35 5 kW cells for a merchant ship application.…”

Section: Introductionmentioning

confidence: 98%

“…The maximum efficiency of an internal combustion engine is limited by the Carnot efficiency [3]. For instance, the highest achievable efficiency of internal combustion engines having output power below 250 kW is 35%.…”

Section: Introductionmentioning

confidence: 99%

“…The objective is to determine a set of trade-off optimal solutions, called the non-dominated or Pareto set, that maximises the efficiency and minimises the size of the system with respect to the current density, the cell voltage, the system pressure, the hydrogen and air stoichiometric ratios, and the relative humidities of fuel and air. To date, papers on multi-objective optimisation of PEM fuel cells have considered models that are specific to the application described in the paper [3,6,25,27]. Our model is more general and, thus, will be suitable for a wide range of applications.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

A multi-objective optimisation model for a general polymer electrolyte membrane fuel cell system

Ang

Brett

Fraga

2010

Journal of Power Sources

View full text Add to dashboard Cite

This paper presents an optimisation model for a general polymer electrolyte membrane (PEM) fuel cell system suitable for efficiency and size trade-offs investigation. Simulation of the model for a base case shows that for a given output power, a more efficient system is bigger and vice versa. Using the weighting method to perform a multi-objective optimisation, the Pareto sets were generated for different stack output powers. A Pareto set, presented as a plot of the optimal efficiency and area of the membrane electrode assembly (MEA), gives a quantitative description of the compromise between efficiency and size. Overall, our results indicate that, to make the most of the size-efficiency trade-off behaviour, the system must be operated at an efficiency of at least 40% but not more than 47%. Furthermore, the MEA area should be at least 3 cm 2 per Watt for the efficiency to be practically useful. Subject to the constraints imposed on the model, which are based on technical practicalities, a PEM fuel cell system such as the one presented in this work cannot operate at an efficiency above 54%. The results of this work, specifically the multi-objective model, will form a useful and practical basis for subsequent techno-economic studies for specific applications.

show abstract

“…Pukrushpan et al [12] applied reactant flow dynamics in order to estimate the net power output as a function of reactant partial pressures and the power losses in flow devices. Using MEA and fuel cell system models, optimization studies have been conducted to minimize the weighted sum of the inverse of functional performance and product cost [13] and to maximize power density by adjusting proper operating conditions [14]. However, objectives in these papers do not reflect the requirements of the "supersystems" in which the designed fuel cell is used.…”

Section: Introductionmentioning

confidence: 99%

Optimal Design of Hybrid Fuel Cell Vehicles

Han

Kokkolaras

Papalambros

2008

Journal of Fuel Cell Science and Technology

View full text Add to dashboard Cite

Fuel cells are being considered increasingly as a viable alternative energy source for automobiles because of their clean and efficient power generation. Numerous technological concepts have been developed and compared in terms of safety, robust operation, fuel economy, and vehicle performance. However, several issues still exist and must be addressed to improve the viability of this emerging technology. Despite the relatively large number of models and prototypes, a model-based vehicle design capability with sufficient fidelity and efficiency is not yet available in the literature. In this article we present an analysis and design optimization model for fuel cell vehicles that can be applied to both hybrid and non-hybrid vehicles by integrating a fuel cell vehicle simulator with a physics-based fuel cell model. The integration is achieved via quasi-steady fuel cell performance maps, and provides the ability to modify the characteristics of fuel cell systems with sufficient accuracy (less than 5% error) and efficiency (98% computational time reduction on average). Thus, a vehicle can be optimized subject to constraints that include various performance metrics and design specifications so that the overall efficiency of the hybrid fuel cell vehicle can be improved by 14% without violating any constraints. The obtained optimal fuel cell system is also compared to other, not vehicle-related, fuel cell systems optimized for maximum power density or maximum efficiency. A tradeoff between power density and efficiency can be observed depending on the size of compressors. Typically, a larger compressor results in higher fuel cell power density at the cost of fuel cell efficiency because it operates in a wider current region. When optimizing the fuel cell * Corresponding author, Phone/Fax: (734) 647-8402/8403 system for maximum power density, we observe that the optimal compressor operates efficiently. When optimizing the fuel cell system to be used as a power source in a vehicle, the optimal compressor is smaller and less efficient than the one of the fuel cell system optimized for maximum power density. In spite of this compressor inefficiency, the fuel cell system is 9% more efficient on average. In addition, vehicle performance can be improved significantly because the fuel cell system is designed both for maximum power density and efficiency. For a more comprehensive understanding of the overall design tradeoffs, several constraints dealing with cost, weight, and packaging issues must be considered. IntroductionCurrently, PEM fuel cells are agreed upon as the most suitable technology for vehicular applications because of their mobility and high power density [1]. Nevertheless, several issues still exist that must be addressed in order to assess and improve viability of fuel cell vehicles, including high vs. low pressure fuel cell vehicles and hybrid vs. non-hybrid fuel cell vehicles. Several fuel cell vehicle concepts and fuel cell system designs have been proposed and studied in terms of safety, robust opera...

show abstract

Optimal fuel cell system design considering functional performance and production costs

Cited by 59 publications

References 9 publications

Modeling of Non-linear Relations among Different Design and Manufacturing Evaluation Measures for Multiobjective Optimal Concurrent Design

Modeling of Non-linear Relations among Different Design and Manufacturing Evaluation Measures for Multiobjective Optimal Concurrent Design

A multi-objective optimisation model for a general polymer electrolyte membrane fuel cell system

Optimal Design of Hybrid Fuel Cell Vehicles

Contact Info

Product

Resources

About