Addressing the complexity of the Green Hydrogen Value Chain: An Agent-Based Modelling Approach

The shift from fossil fuels to renewable energy is crucial for combating climate change. Despite global commitments to move away from fossil fuels, significant challenges remain, particularly in ensuring a socially and economically sustainable transition. Another key issue is identifying an effective policy mix to support and accelerate the transition, given the diversity of stakeholders and the uncertainties involved. In the energy transition context, green hydrogen stands out as a promising renewable energy source. The existing body of research shows a gap in comprehensive frameworks that holistically address the green energy transition, particularly related to hydrogen production and consumption value chains. At the same time, agent-based modeling and simulation seem promising in coping with related issues. This paper proposes the agent-based modeling approach as an effective method for examining the complexities of energy transition. This approach integrates social, technical, environmental, and economic factors. The paper presents and accurately documents a prototype of an agent-based model that refers to a green hydrogen production value chain. The ultimate goal of the research is to develop a computational virtual laboratory for policy advice and to support interdisciplinary research of green energy transition models.