Performance Assessment of Model-Based Controlled Organic Rankine Cycle System for Waste Heat Recovery

Abstract Within the current global effort toward decarbonization, improving energy efficiency across industrial, residential, and transportation sectors represents a critical priority. Waste heat recovery (WHR) technologies, particularly the organic Rankine cycle (ORC), offer a versatile and effective solution for reclaiming low-to-medium grade thermal energy that would otherwise be lost. This work provides a comprehensive performance assessment of a small-scale ORC system designed to operate efficiently under variable and off-design conditions, making it suitable for a wide range of thermal waste streams. The research methodology centers on the development of a detailed 0D/1D computational fluid dynamics (CFD) mathematical model, which was rigorously validated against experimental data obtained from a dedicated test bench at the University of L’Aquila. A core contribution of this study is the implementation of an advanced model-based control strategy. By employing a physics-based feedback-feedforward architecture, the controller regulates pump speed to maintain a target superheating degree between 15 °C and 20 °C, ensuring system stability and protecting components from fluid degradation. The system was evaluated across several operating points, demonstrating its capability to recover over 40 kW of heat. The results show a net electrical power output generally between 0.5 kW and 1.5 kW, reaching a peak of approximately 2 kW. The thermodynamic cycle efficiency ranged from 5% to 12%, while the maximum net overall system efficiency was recorded at 5.5%. These findings confirm that integrating advanced control strategies allows small-scale ORC units to maximize energy recovery and maintain optimal performance across diverse and fluctuating thermal sources.

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Publication Details

Journal
Journal of energy resources technology.
Published
2026-02-18
DOI
https://doi.org/10.1115/1.4071154
Primary Topic
Thermodynamic and Exergetic Analyses of Power and Cooling Systems
Type
article
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article

Performance Assessment of Model-Based Controlled Organic Rankine Cycle System for Waste Heat Recovery

Roberto Carapellucci, Fabio Fatigati, Marco Di Bartolomeo, Davide Di Battista
Journal of energy resources technology.
Thermodynamic and Exergetic Analyses of Power and Cooling Systems
article

Performance Assessment of Model-Based Controlled Organic Rankine Cycle System for Waste Heat Recovery

Roberto Carapellucci, Fabio Fatigati, Marco Di Bartolomeo, Davide Di Battista
article en

Abstract

Abstract Within the current global effort toward decarbonization, improving energy efficiency across industrial, residential, and transportation sectors represents a critical priority. Waste heat recovery (WHR) technologies, particularly the organic Rankine cycle (ORC), offer a versatile and effective solution for reclaiming low-to-medium grade thermal energy that would otherwise be lost. This work provides a comprehensive performance assessment of a small-scale ORC system designed to operate efficiently under variable and off-design conditions, making it suitable for a wide range of thermal waste streams. The research methodology centers on the development of a detailed 0D/1D computational fluid dynamics (CFD) mathematical model, which was rigorously validated against experimental data obtained from a dedicated test bench at the University of L’Aquila. A core contribution of this study is the implementation of an advanced model-based control strategy. By employing a physics-based feedback-feedforward architecture, the controller regulates pump speed to maintain a target superheating degree between 15 °C and 20 °C, ensuring system stability and protecting components from fluid degradation. The system was evaluated across several operating points, demonstrating its capability to recover over 40 kW of heat. The results show a net electrical power output generally between 0.5 kW and 1.5 kW, reaching a peak of approximately 2 kW. The thermodynamic cycle efficiency ranged from 5% to 12%, while the maximum net overall system efficiency was recorded at 5.5%. These findings confirm that integrating advanced control strategies allows small-scale ORC units to maximize energy recovery and maintain optimal performance across diverse and fluctuating thermal sources.

Journal of energy resources technology.Vol. 2(4)
University of L'Aquila (IT)
Affordable and clean energy
Openalex Percentile: Top 53%
Thermodynamic and Exergetic Analyses of Power and Cooling Systems
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