A novel comprehensive procedure for determination of optimum operating conditions for cleaner energy production system

Abstract

Summary Cleaner energy production system such as direct alcohol fuel cells (DAFCs) are considered as an alternative source for generating cleaner energy. Studies based on design of catalysts, electrodes design, proton exchange membrane, and flow field were conducted for improving its performance characteristic such as power density. However, the less focus was paid on determining the operating conditions considering the uncertainties that will result in an increase of power density of DAFCs. Therefore, the present work proposes a novel comprehensive procedure involving experimental study and evolutionary approach of genetic programming (GP) in formulation of robust power density models for DAFCs. Two uncertainties such as the selection of objective function and variations in measurement of operating conditions are incorporated in framework of GP. The power density models incorporate the formulation of new objective function in GP that will result in higher accuracy of the models. Experiments performed on DAFCs validate performance of the models. Simulation profiler is then generated for models to verify its robustness in uncertain operating conditions. The inferences on relationships between power density and operating conditions for DAFCs are made by surface analysis of the models.

Synthesis of in situ N‐, S‐, and B‐doped few‐layer graphene by chemical vapor deposition technique and their superior glucose electrooxidation activity

“…However, fossil fuels will be exhausted in future and these fossil fuel exhausts lead to environmental hazards 3 Thus, fuel cells have gained great importance in recent years due to increasing energy need-related population and growing industry. [5][6][7][8][9][10][11][12][13][14] Direct glucose fuel cell (DGFC) is also an energy device converting chemical energy into electrical energy. [5][6][7][8][9][10][11][12][13][14] Direct glucose fuel cell (DGFC) is also an energy device converting chemical energy into electrical energy.…”

Optimization of the PEMFC operating parameters for cathode in the presence of PtCo/CVD graphene using factorial design

“…Polymer electrolyte membrane fuel cells (PEMFC) have gained remarkable attention because of providing high power density and high efficiency at low operating temperatures . To improve the fuel cell performance and reduce cost for commercialization of the technology, new catalyst and support materials are needed to reduce or replace the most widely used platinum.…”

“…There are many operating parameters that affect fuel cell performance. DoE approach finds dependencies between variable factors and helps to set parameter values where optimum performance is obtained with minimal number of experiments . Several researchers have investigated the influence of various parameters, ie, temperature, reactant pressure, reactant flow rate, and humidity, on fuel cell performance by DoE.…”

“…Polymer electrolyte membrane fuel cells (PEMFC) have gained remarkable attention because of providing high power density and high efficiency at low operating temperatures. [1][2][3] To improve the fuel cell performance and reduce cost for commercialization of the technology, new catalyst and support materials are needed to reduce or replace the most widely used platinum. In order to reduce the cost associated with use of Pt and increase the oxygen reduction reaction (ORR) activity, there are many attempts to develop alloys or bimetallic structures with less Pt in the electrode.…”

“…DoE approach finds dependencies between variable factors and helps to set parameter values where optimum performance is obtained with minimal number of experiments. 2,[24][25][26] Several researchers have investigated the influence of various parameters, ie, temperature, [27][28][29][30][31][32] reactant pressure, 27,30,31 reactant flow rate, [27][28][29][30][31] and humidity, 30-32 on fuel cell performance by DoE. Generally, design methods such as factorial design, 18,[33][34][35][36][37][38] Taguchi, 26,39 and response surface 24,28,34,[40][41][42] are used.…”