On the 8th of July 2026, CERTH presented a scientific publication to the International Conference on Electrical, Computer and Energy Technologies (ICECET 2026), with title “Green Urban Mobility: Optimizing Hydrogen Public Transport from Demand to Energy Supply”. This article is in cooperation with TPG, the University of Geneva, and HITACHI and presents the innovations of Demo #6, SINNOGENES.
More specifically, this paper addresses the existing gap between hydrogen consumption forecasting and production scheduling by introducing a demand and supply framework, specifically tailored to public transportation scenarios, that combines the consumption predictions extracted by a seasonal traditional forecasting algorithm with a production optimization model. Trained on real-world booking and traffic data from the Geneva Canton region, the forecasting algorithm accurately predicts daily hydrogen demand for a year, achieving a normalized root mean squared error less than 3%. This forecast is then used as input to the production model that optimizes the daily mix of green hydrogen from surplus photovoltaic energy and supplementary grid power. Results for a sample week show that while a single vehicle can be powered entirely by green hydrogen, scaling the fleet to just three buses requires up to 45% of its energy from the main grid, highlighting the operational challenges of fleet deployment. The proposed holistic framework provides a realistic tool for evaluating the technoeconomic and environmental feasibility of hydrogen-based public transport systems.
