시나리오 가중 방법론과 비선형 다단계Stochastic Programming을 사용한 수소공급망 네트워크 운용 프레임워크

초록

Hydrogen is gaining attention as an alternative energy source not only to addressenvironmental issues such as carbon and particulate pollution but also to tackle theproblem of price fluctuations in fossil fuels. In response to this, many countrieshave established Hydrogen Supply Chain Networks (HSCN) related to theproduction, storage, and transportation of hydrogen. Through the generated HSCNs,various studies have been conducted to satisfy regional environmental constraintsand limited resources, aiming at cost reduction. Despite numerous design studies onvarious HSCN models, many designed HSCNs overlook the uncertainties that canoccur in real-world environments. Particularly, hydrogen demand and transportationcapacity in HSCNs are highly variable factors in actual environments. Neglectingsuch variability and applying generated strategies may pose risks of reliabilityissues and significant coping costs due to errors. Therefore, this study proposes a multi-stage HSCN Stochastic Programming (SP)to consider the uncertainties arising in hydrogen demand and transportationcapacity for decision-making. Additionally, a Weighted Scenario Method (WSM) isintroduced and applied to derive solutions satisfying the chain rule and nonlinearconstraints among decision variables in the multi-stage SP. The effectiveness ofthe derived solutions is demonstrated through comparative experiments withdeterministic models that do not consider uncertainty.

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