Title :
Hydrogen filling station design for fuel cell vehicles
Author :
Xiao, Weiping ; Cheng, Yunzhi ; Lee, Wei-Jen ; Chen, Victoria ; Charoensri, Surachai
Author_Institution :
Dept. of Electr. Eng., Univ. of Texas at Arlington, Arlington, TX, USA
Abstract :
After the Energy Bill was announced in 2005, a transition of national energy system from hydrocarbon to hydrogen had been envisioned. However, safe and convenient refueling and widespread availability of hydrogen from various energy sources are the prerequisite for the development of hydrogen economy. This paper focuses on the design of a hydrogen filling station with on-site hydrogen production by electrolysis of water. The proposed virtual wind farm and on-site installed photovoltaic (PV) supply the main and renewable energy for electrolyzers in the station. The utility electricity is served as an auxiliary energy resource to compensate the intermittence of wind and solar. Since the market clearing price (MCP) can change dramatically in the deregulated power market, the station can participate in the power market with a hydrogen storage tank. Based on the forecasting of wind power with artificial neural network (ANN) model and MCP with the statistical model, this paper proposes an optimization algorithm for the hydrogen production schedule and the strategy of power trading to optimize the production costs of the station.
Keywords :
Artificial neural networks; Electrochemical processes; Filling; Fuel cell vehicles; Hydrocarbons; Hydrogen; Power markets; Predictive models; Production; Water resources; Hydrogen economy; hydrogen filling station; power trading; renewable energy;
Conference_Titel :
Industrial and Commercial Power Systems Technical Conference (I&CPS), 2010 IEEE
Conference_Location :
Tallahassee, FL, USA
Print_ISBN :
978-1-4244-5600-0
DOI :
10.1109/ICPS.2010.5489902