Adopting different wind-assisted ship propulsion technologies as fleet retrofit: An agent-based modeling approach
Metadatos
Afficher la notice complèteEditorial
Elsevier
Materia
Eco-innovation Environmental policies Shipping Retrofitting Wind-assisted propulsion technologies Agent-based modeling
Date
2023-04-06Referencia bibliográfica
M. Chica et al.Adopting different wind-assisted ship propulsion technologies as fleet retrofit: An agent-based modeling approach.Technological Forecasting & Social Change 192 (2023) 122559[https://doi.org/10.1016/j.techfore.2023.122559]
Patrocinador
Interreg North Sea Region project WASP: Wind Assisted Ship Propulsion, "Run Wind Propulsion Technology real life trials on sea going ships in operation, showcase proven concepts, market adaptation, green sea transport" 38-2-6-19; Spanish Ministry of Science, Andalusian Government; European Commission RYC-2016-19800; ERDF under CONFIA PID2021-122916NB-I00; ERDF under SIMARK P18-TP-4475Résumé
The maritime shipping industry will increasingly switch to low carbon fuels and adopt energy saving
technologies (ESTs) to achieve the industry target of decarbonization. Among ESTs, deck equipment, including
those based on wind propulsion technologies (WPTs), represents the largest potential fuel savings and a
source of increasing innovation initiatives by industry actors. Previous contributions to WPT innovation have
addressed barriers and drivers for increased adoption in the industry but failed to consider the specific
aspects of the fleet retrofitting market. Through an agent-based simulation model, this work studies the
effects of different policy and market scenarios (subsidies, fuel prices, and networking) on the adoption of
WPT retrofitting solutions. The proposed model incorporates two decision steps for each vessel to adopt the
technology (acquiring awareness of the technology, and a utility decision process to determine the WPT option).
The study also expands on previous knowledge by modeling three WPT options and by integrating real world
data of technology costs and their fuel savings as well as vessel features. Insights from simulations allow to
identify the most convenient policies as well as the potential of alternative models to reduce introduction
barriers (e.g., product-service business models).