1. ALESSANDRO ROMAGNOL
Information acquired: 2025
ALESSANDRO ROMAGNOL is an academic who published a paper in 2021 entitled Dynamic control strategies for a solar-ORC system using first-law dynamic and data-driven machine le. ALESSANDRO ROMAGNOL published this work as part of a team: Liu, Zheng. Here is a description of this work: In this study, we developed and assessed the potential of dynamic control strategies for a domestic scale 1-kW solar thermal power system based on a non-recuperated organic Rankine cycle (ORC) engine coupled to a solar energy system. Such solar-driven systems suffer from part-load performance deterioration due to diurnal and inter-seasonal fluctuations in solar irradiance and ambient temperature. Real-time control strategies for adjusting the operating parameters of these systems have shown great potential to optimise their transient response to time-varying conditions, thus allowing significant gains in the power output delivered by the system. Dynamic model predictive control strategies rely on the development of computationally efficient, fast-solving models. In contrast, traditional physics-based dynamic process models are ofte.
