Impact of hydrogen production on optimal economic 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.jpowsour.2005.03.187

Cited by 42 publications

(19 citation statements)

References 9 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The FCPP produces as much thermal as electrical energy [57,58]. PEM fuel cells have various advantages that make them preferred relative to other fuel cells and permit them to be used in hybrid energy systems [59][60][61][62]. A sound strategy is necessary for management of excess electrical and/or thermal energy.…”

Section: Fuel Cellmentioning

confidence: 99%

See 1 more Smart Citation

Optimal Operation of a Grid-Connected Hybrid Renewable Energy System for Residential Applications

2017

View full text Add to dashboard Cite

Abstract:The results of a study on incorporating solar-thermal collectors into a hybrid renewable energy system are reported. A photovoltaic-wind turbine-fuel cell-solar-thermal collector system is designed and an economic model is introduced for supplying the residential thermal and electrical loads via the grid-connected hybrid system. Since determining the optimal operation of a hybrid system such as a combined heat and power system constitutes a complex optimization problem requiring a sophisticated optimization method, a modified heuristic approach-based particle swarm optimization is proposed for solving the optimization problem. The results are compared with those obtained by an efficient metaheuristic optimization method, namely a genetic algorithm, in terms of accuracy and run time. The results show that, using the grid-connected hybrid combined heat and power system, among the cases considered, decreases the total cost of the system. The results also demonstrate that the reductions in daily cost relative to the base case by the modified particle swarm optimization algorithm for Cases 1-4 are 5.01%, 25.59%, 19.42%, and 22.19%, respectively. Finally, Case 2 is the most cost-effective and reliable. Moreover, the modified particle swarm optimization algorithm leads to better results than the genetic algorithm.

show abstract

Section: Fuel Cellmentioning

confidence: 99%

“…Details about PEMFCs are provided elsewhere [48,[59][60][61][62]. Table 3 provides the technical specifications of the fuel cell system [14,48].…”

Section: Fuel Cellmentioning

confidence: 99%

Optimal Operation of a Grid-Connected Hybrid Renewable Energy System for Residential Applications

2017

View full text Add to dashboard Cite

show abstract

“…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%

See 1 more Smart Citation

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

Farjah¹,

Bornapour

Niknam

2012

Energies

View full text Add to dashboard Cite

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

show abstract

Impact of Fuel Cell Power Plants on Multi‐objective Optimal Operation Management of Distribution Network

Niknam

Zeinoddini‐Meymand

2012

Fuel Cells

View full text Add to dashboard Cite

This paper presents an interactive fuzzy satisfying method based on hybrid modified honey bee mating optimization and differential evolution (MHBMO‐DE) to solve the multi‐objective optimal operation management (MOOM) problem, which can be affected by fuel cell power plants (FCPPs). The objective functions are to minimize total electrical energy losses, total electrical energy cost, total pollutant emission produced by sources, and deviation of bus voltages. A new interactive fuzzy satisfying method is presented to solve the multi‐objective problem by assuming that the decision‐maker (DM) has fuzzy goals for each of the objective functions. Through the interaction with the DM, the fuzzy goals of the DM are quantified by eliciting the corresponding membership functions. Then, by considering the current solution, the DM acts on this solution by updating the reference membership values until the satisfying solution for the DM can be obtained. The MOOM problem is modeled as a mixed integer nonlinear programming problem. Evolutionary methods are used to solve this problem because of their independence from type of the objective function and constraints. Recently researchers have presented a new evolutionary method called honey bee mating optimization (HBMO) algorithm. Original HBMO often converges to local optima, in order to overcome this shortcoming, we propose a new method that improves the mating process and also, combines the modified HBMO with DE algorithm. Numerical results for a distribution test system have been presented to illustrate the performance and applicability of the proposed method.

show abstract

Impact of hydrogen production on optimal economic operation of a grid-parallel PEM fuel cell power plant

Cited by 42 publications

References 9 publications

Optimal Operation of a Grid-Connected Hybrid Renewable Energy System for Residential Applications

Optimal Operation of a Grid-Connected Hybrid Renewable Energy System for Residential Applications

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

Impact of Fuel Cell Power Plants on Multi‐objective Optimal Operation Management of Distribution Network

Contact Info

Product

Resources

About