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Cost related sensitivity analysis for optimal operation of a grid-parallel PEM fuel cell power plant
Affiliation:1. Smart Energy Systems Lab., Faculty of Electrical and Computer Engineering, University of Tabriz, Tabriz, Iran;2. Electrical Engineering Department, Amirkabir University of Technology (Tehran Polytechnic), Tehran, Iran;1. Ural Federal University, Mira Street 19, 620002 Ekaterinburg, Russia;2. Research Center Dresden-Rossendorf, Institute of Ion Beam Physics and Materials Research, P.O. Box 510119, D-01314 Dresden, Germany;3. Institute of Physics, University of Rostock, Universitätsplatz 3, D-18051 Rostock, Germany;1. A. N. Nesmeyanov Institute of Organoelement Compounds, Russian Academy of Sciences, 119991 Moscow, Russian Federation;2. N. S. Enikolopov Institute of Synthetic Polymer Materials, Russian Academy of Sciences, 117393 Moscow, Russian Federation;3. National Research Centre ‘Kurchatov Institute’, 123098 Moscow, Russian Federation;1. Department of Energy and Aerospace Engineering, School of Mechanical Engineering, Shiraz University, Shiraz, Iran;2. Department of Thermo-Fluids Engineering, School of Mechanical Engineering, Shiraz University, Shiraz, Iran;3. Department of Power and Control Engineering, School of Electrical Engineering, Shiraz University, Shiraz, Iran;1. Department of Electrical Engineering, University of Torbat Heydarieh, Torbat Heydarieh, Iran;2. Department of Computer Engineering, University of Torbat Heydarieh, Torbat Heydarieh, Iran
Abstract:Fuel cell power plants (FCPP) as a combined source of heat, power and hydrogen (CHP&H) can be considered as a potential option to supply both thermal and electrical loads. Hydrogen produced from the FCPP can be stored for future use of the FCPP or can be sold for profit. In such a system, tariff rates for purchasing or selling electricity, the fuel cost for the FCPP/thermal load, and hydrogen selling price are the main factors that affect the operational strategy. This paper presents a hybrid evolutionary programming and Hill–Climbing based approach to evaluate the impact of change of the above mentioned cost parameters on the optimal operational strategy of the FCPP. The optimal operational strategy of the FCPP for different tariffs is achieved through the estimation of the following: hourly generated power, the amount of thermal power recovered, power trade with the local grid, and the quantity of hydrogen that can be produced. Results show the importance of optimizing system cost parameters in order to minimize overall operating cost.
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