Probabilistic model of polymer exchange fuel cell power plants for hydrogen, thermal and electrical energy management

This paper proposes a probabilistic approach for economic/emission management of Micro Grids (MGs). In order to meet the electrical and thermal loads while having lower emission production in a more economical manner, combining heating and power along with hydrogen production and utilization strateg...

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Vydané v:Journal of power sources Ročník 229; s. 285 - 298
Hlavní autori: Niknam, Taher, Golestaneh, Faranak, Malekpour, Ahmad Reza
Médium: Journal Article
Jazyk:English
Vydavateľské údaje: Amsterdam Elsevier B.V 01.05.2013
Elsevier
Predmet:
Alternative fuels. Production and utilization
Applied sciences
Combined heating and power (CHP)
Direct energy conversion and energy accumulation
Economics
Electric power generation
Electrical engineering. Electrical power engineering
Electrical power engineering
Electrochemical conversion: primary and secondary batteries, fuel cells
Emission
Energy
Energy. Thermal use of fuels
Equipments for energy generation and conversion: thermal, electrical, mechanical energy, etc
Exact sciences and technology
Fuel cell power plants
Fuel cells
Fuels
Hydrogen
Hydrogen production
Mathematical models
Micro grid (MG)
Multi-objective modified gravitational search algorithm (MGSA)
Natural energy
PEM fuel cell
Point estimate method
Probabilistic methods
Probability theory
Uncertainty
Wind energy
Micro grid (MG)
Multi-objective modified gravitational search algorithm (MGSA)
Combined heating and power (CHP)
Hydrogen production
PEM fuel cell
Point estimate method
Performance evaluation
Electric power plant
Prime mover
Output power
Hydrogen
Fuel cell power plant
Optimization method
Multiobjective programming
Polymer solid electrolyte
Output voltage
Power system load
Proton exchange membrane fuel cells
Probabilistic approach
Polymer
Thermal load
Thermal energy
Search algorithm
Thermal power
Electrical network
Probabilistic model
Energy management
ISSN:0378-7753
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Popis
Shrnutí:This paper proposes a probabilistic approach for economic/emission management of Micro Grids (MGs). In order to meet the electrical and thermal loads while having lower emission production in a more economical manner, combining heating and power along with hydrogen production and utilization strategies are employed. A PEMFCPP (Proton Exchange Membrane Fuel cell power plant) is considered as the prime mover of the Combined Heat and Power (CHP) system. The surplus power of PEMFCPP is managed to produce hydrogen. An electrochemical model for representation and performance evaluation of the PEMFC is applied. Using this model, the output voltage and power of the PEMFC are calculated as a function of current, constructive and operational parameters. The proposed probabilistic optimization method includes 2m + 1 point estimate method to cover the uncertainties and a modified multi-objective algorithm based on the Modified Gravitational Search Algorithm (MGSA) to find Pareto-optimal front of the operation management problem. The study considers the uncertainties in forecasted values of: the hourly market tariffs, electrical and thermal load demands, available output power of the PhotoVoltaic (PV) and Wind Turbines (WT) units, fuel prices, hydrogen selling price, operation temperature of the FC, and pressure of the reactant gases of FC. ► Consider the effect of hydrogen produced by PEMFC on MGs. ► Present an electrochemical model for PEMFC. ► Present a probabilistic model of PEMFC. ► Proposes a probabilistic economic/emission management of MGs.
Bibliografia:ObjectType-Article-2
SourceType-Scholarly Journals-1
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content type line 23
ISSN:0378-7753
DOI:10.1016/j.jpowsour.2012.11.052