Multi-objective optimization for hybrid fuel cells power system under uncertainty

Subramanyan, Karthik; Diwekar, Urmila M.; Goyal, Amit

doi:10.1016/j.jpowsour.2003.12.053

Cited by 59 publications

(19 citation statements)

References 6 publications

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“…A numerical optimization of a triple pressure HRSG of a combined cycle was performed by Bassily [13] with a view to increasing the overall efficiency of the plant. Results on a multi-objective optimization of a hybrid fuel cell power system were reported in literature by Subramanyan et al [14].…”

Section: Introductionmentioning

confidence: 95%

“…The heat from the electrochemical reaction is used to maintain the constant temperature of the cell, whereas the current is sent to an inverter (G) where it is converted to alternating current. The hot exhaust gas from the SOFC is used to raise the temperature of the compressed air in the recuperator (13)(14)(16)(17). The cooled exhaust gas is sent into the combustion chamber of the gas turbine.…”

Section: System Designmentioning

confidence: 99%

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Thermodynamic optimization of solid oxide fuel cell-based combined cycle cogeneration plant

Odukoya

Carretero

Reddy

2011

Int. J. Energy Res.

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The energy demand is growing worldwide, and this has to be met with various energy resources and with advanced energy technologies. Power plant optimization is one of the ways in which the growing energy demand and call for reduction in greenhouse gas emission can be met. The present work investigates the optimal operating condition of a combined cycle cogeneration power plant with solid oxide fuel cell (SOFC) co-fired with coal and natural gas. The study also looks at an efficient way to perform iterative processes used to find exit conditions from the gasifier, fuel cell, gas turbine, and combustion chamber and exit condition from the gas turbine. The maximum fuel cell net work output, combined cycle net work output, combined cycle thermal efficiency, and cogeneration efficiency are determined. The optimal pressure ratio, temperature of operation of the SOFC, and gas turbine inlet temperature is determined using a sequential quadratic program solver based on the Quasi-Newton algorithm. The maximum cogeneration efficiency obtained from the plant configuration investigated in this study is 82.20% at a pressure ratio of 14.31 and SOFC temperature of 1223 K.

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Section: Introductionmentioning

confidence: 95%

Section: System Designmentioning

confidence: 99%

Thermodynamic optimization of solid oxide fuel cell-based combined cycle cogeneration plant

Odukoya

Carretero

Reddy

2011

Int. J. Energy Res.

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“…The main drawback is that it only focuses on the present demand and cost values, and ignores the longer term situation. From a different perspective of the problem, [12,20,24] focus on the economic dispatch of electricity such that the total fuel cost is minimized, together with the total emissions of CO 2 and N O x . As such they do not consider the park placement problem but rather the source of RE to consider to reach the objectives.…”

Section: Related Workmentioning

confidence: 99%

Optimal Allocation of Renewable Energy Parks: A Two–stage Optimization Model

Gervet

Atef

2013

RAIRO-Oper. Res.

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RésuméLa recherche appliquée enénergies renouvelables soulève des défis complexes de nature technologique, economique ou politique. Dans cet article, nous adressons le problème technico-économique de sélection optimale d'emplacements de parcséoliens et solaires en Egypte, de telle sorte que la demande enélectricité soit satisfaiteà coût minimum. Ultimement, notre objectif est de construire un outil d'aideà la décision qui va pourvoir aux investisseurs privés et gouvernementaux, une aide précieuse pour prendre des décisionsà court et long terme relativementà la création de tels parcs. Les approches existantes raisonnent essentiellementà partir de données passées. Dans cet article, nous introduisons une nouvelle approche qui considèreà la fois les données passées et futures, et montrons l'impact de la prise en compte des deux types de données dans une modèle d'optimisation en deux temps. Nous montrons que la Programmation Linéaire par Entiers est une mé-thode efficace pour résoudre le problème avec des données passées ainsi que le modèle en deux temps qui prend en compte les données prédites, rajoutant de nouvelles contraintes au modèle initial. Notreévaluation montre que le modèle en deux temps améliore la solution avec une vision plus globale et un meilleur coût total.

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“…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%

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

Ang

Brett

Fraga

2010

Journal of Power Sources

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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.

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Multi-objective optimization for hybrid fuel cells power system under uncertainty

Cited by 59 publications

References 6 publications

Thermodynamic optimization of solid oxide fuel cell-based combined cycle cogeneration plant

Thermodynamic optimization of solid oxide fuel cell-based combined cycle cogeneration plant

Optimal Allocation of Renewable Energy Parks: A Two–stage Optimization Model

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

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