(658e) Robust Multi-Period and Multi-Objective Strategic Planning of Hydrogen Networks
What is the most energy efficient, environmentally benign, and cost effective pathways to deliver hydrogen to the consumer considering these uncertainties? To answer this question, several groups have investigated multi-objective supply chain optimization for hydrogen infrastructural development [1-3]. A few have considered a multi-period approach [4-6], and even fewer have considered uncertainty in the supply chain [7, 8].
Here, we propose a multi-period and multi-objective mixed-integer programming approach to the optimal planning of hydrogen infrastructures. By incorporating recent advances in robust optimization  in the strategic planning model, we address uncertainty by designing robust hydrogen networks that are protected against different technological and economic realizations. In the United States, California is taking the lead with more than 20 hydrogen retailing stations spread across the state . To demonstrate our method, we present a scenario analysis using California as a case study.
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