Economics of hydrogen production and utilization strategies for the optimal operation of a grid-parallel PEM fuel cell power plant

El-Sharkh, M.Y.; Tanrıöven, Muğdeşem; Rahman, Arief; Alam, Mohammad Saad

doi:10.1016/j.ijhydene.2010.05.108

Cited by 44 publications

(23 citation statements)

References 15 publications

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“…This power source can troop the electricity, recovered thermal power and hydrogen. The thermal and electrical produced power for FC is similar to that in the work of El‐Sharkh et al, but the recovered thermal related to obtained electric and hydrogen can be calculated by the following relation:

H_{h}^{FC} = r_{th} ((), P_{h}^{{normalFC}_{H_{2}}} + P_{h}^{FC} + P_{a}) .

…”

Section: Formulization Of Problemmentioning

confidence: 55%

New optimization method based on energy management in microgrids based on energy storage systems and combined heat and power

Zeng

Berti

2019

Computational Intelligence

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Microgrids can be assumed as a solution model for green energy sources, energy storage systems, and combined heat and power (CHP) systems. In this work, the cost and emission minimization based on a demand response (DR) program is considered an optimization problem. To solve the mentioned problem a new multiobjective optimization algorithm (improved particle swarm optimization) is proposed based on a fuzzy mechanism to select the optimal value. The microgrid system includes two CHP units, fuel cell and battery systems, and the heat buffer tank. In this problem, two different feasible operating regions have been assumed in CHPs. Accordingly, to decrease the operational cost, time‐of‐use, and real‐time pricing DR programs have been simulated, and the impacts of the mentioned models are evaluated overload profiles. The effectiveness of proposed models has been applied on different cases studies by different scenarios. The proposed model solved the DR program, time of use‐DR and real‐time pricing‐DR problems. The proposed model could reduce the cost about 10%.

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H_{h}^{FC} = r_{th} ((), P_{h}^{{normalFC}_{H_{2}}} + P_{h}^{FC} + P_{a}) .

…”

Section: Formulization Of Problemmentioning

confidence: 55%

New optimization method based on energy management in microgrids based on energy storage systems and combined heat and power

Zeng

Berti

2019

Computational Intelligence

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“…1, the hydrogen generated by the FC unit is stored in a hydrogen tank and is converted to electric energy during peak load time to supply load demand in MG. This strategy reduces the MG operational costs and increases the system's overall efficiency [35].…”

Section: ) Generated Hydrogen Of Fc Unitmentioning

confidence: 99%

Optimal economic dispatch of FC-CHP based heat and power micro-grids

Nazari-Heris

Abapour

Mohammadi‐Ivatloo

2017

Applied Thermal Engineering

220

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“…El-Sharkh et al perused the optimal cost of CHPH operation of FCPP in different models of cost functions [13,14]. In fact, they used these models to determine the optimal operation strategy that yields the minimum operating cost.…”

Section: Literature Reviewmentioning

confidence: 99%

“…If the FCPP is not able to supply all the thermal loads, the amount of thermal loads that are not supplied should be fed by natural gas. The operating cost function is modeled as follows [13,14]: …”

Section: Operating Cost Of Energymentioning

confidence: 99%

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Placement of Combined Heat, Power and Hydrogen Production Fuel Cell Power Plants in a Distribution Network

Farjah¹,

Bornapour

Niknam

2012

Energies

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This paper presents a new Fuzzy Adaptive Modified Particle Swarm Optimization algorithm (FAMPSO) for the placement of Fuel Cell Power Plants (FCPPs) in distribution systems. FCPPs, as Distributed Generation (DG) units, can be considered as Combined sources of Heat, Power, and Hydrogen (CHPH). CHPH operation of FCPPs can improve overall system efficiency, as well as produce hydrogen which can be stored for the future use of FCPPs or can be sold for profit. The objective functions investigated are minimizing the operating costs of electrical energy generation of distribution substations and FCPPs, minimizing the voltage deviation and minimizing the total emission. In this regard, this paper just considers the placement of CHPH FCPPs while investment cost of devices is not considered. Considering the fact that the objectives are different, non-commensurable and nonlinear, it is difficult to solve the problem using conventional approaches that may optimize a single objective. Moreover, the placement of FCPPs in distribution systems is a mixed integer problem. Therefore, this paper uses the FAMPSO algorithm to overcome these problems. For solving the proposed multi-objective problem, this paper utilizes the Pareto Optimality idea to obtain a set of solution in the multi-objective problem instead of only one. Also, a fuzzy system is used to tune parameters of FAMPSO algorithm such as inertia weight. The efficacy of the proposed approach is validated on a 69-bus distribution system. OPEN ACCESS

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Economics of hydrogen production and utilization strategies for the optimal operation of a grid-parallel PEM fuel cell power plant

Cited by 44 publications

References 15 publications

New optimization method based on energy management in microgrids based on energy storage systems and combined heat and power

New optimization method based on energy management in microgrids based on energy storage systems and combined heat and power

Optimal economic dispatch of FC-CHP based heat and power micro-grids

Placement of Combined Heat, Power and Hydrogen Production Fuel Cell Power Plants in a Distribution Network

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