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Design and experimental validation of an adaptive control law to maximize the power generation of a small-scale waste heat recovery system

(2017) APPLIED ENERGY. 203. p.549-559
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Abstract
Increasing the energy efficiency of industrial processes is a challenge that involves, not only improving the methodologies for design and manufacturing, but optimizing performance during part-load operation and transient conditions. A well-adopted solution consists of developing waste heat recovery (WHR) systems based on Organic Rankine Cycle (ORC) power units. The highest efficiency for such cycle is obtained at low superheating values, corresponding to the situation where the system exhibits time-varying nonlinear dynamics, triggered by the fluctuating nature of the waste heat source. In this paper, an adaptive control law using the Model Predictive Control (MPC) framework is proposed. This work goes a step beyond most of the existing scientific works in the field of ORC power systems, since the MPC controller is implemented in a lab-scale prototype, and its performance compared against a gain-scheduled PID strategy. The experimental results show that the adaptive MPC outperforms the gain-scheduled PID based strategy, as it allows to accurately regulate the evaporating temperature, while keeping vapor condition at the inlet of the expander i.e., the superheating, in a safe operating range, thus increasing the net power generation. (C) 2017 Elsevier Ltd. All rights reserved.
Keywords
ORGANIC RANKINE-CYCLE, DUTY DIESEL-ENGINES, THERMODYNAMIC ANALYSIS, PERFORMANCE ANALYSIS, ORC SYSTEM, OPTIMIZATION, PARAMETERS, VEHICLES, MODEL

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MLA
Hernandez Naranjo, Jairo Andres et al. “Design and Experimental Validation of an Adaptive Control Law to Maximize the Power Generation of a Small-scale Waste Heat Recovery System.” APPLIED ENERGY 203 (2017): 549–559. Print.
APA
Hernandez Naranjo, J. A., Desideri, A., Gusev, S., Ionescu, C.-M., van den Broek, M., Quoilin, S., Lemort, V., et al. (2017). Design and experimental validation of an adaptive control law to maximize the power generation of a small-scale waste heat recovery system. APPLIED ENERGY, 203, 549–559.
Chicago author-date
Hernandez Naranjo, Jairo Andres, Adriano Desideri, Sergei Gusev, Clara-Mihaela Ionescu, Martijn van den Broek, Sylvain Quoilin, Vincent Lemort, and Robain De Keyser. 2017. “Design and Experimental Validation of an Adaptive Control Law to Maximize the Power Generation of a Small-scale Waste Heat Recovery System.” Applied Energy 203: 549–559.
Chicago author-date (all authors)
Hernandez Naranjo, Jairo Andres, Adriano Desideri, Sergei Gusev, Clara-Mihaela Ionescu, Martijn van den Broek, Sylvain Quoilin, Vincent Lemort, and Robain De Keyser. 2017. “Design and Experimental Validation of an Adaptive Control Law to Maximize the Power Generation of a Small-scale Waste Heat Recovery System.” Applied Energy 203: 549–559.
Vancouver
1.
Hernandez Naranjo JA, Desideri A, Gusev S, Ionescu C-M, van den Broek M, Quoilin S, et al. Design and experimental validation of an adaptive control law to maximize the power generation of a small-scale waste heat recovery system. APPLIED ENERGY. 2017;203:549–59.
IEEE
[1]
J. A. Hernandez Naranjo et al., “Design and experimental validation of an adaptive control law to maximize the power generation of a small-scale waste heat recovery system,” APPLIED ENERGY, vol. 203, pp. 549–559, 2017.
@article{8535206,
  abstract     = {Increasing the energy efficiency of industrial processes is a challenge that involves, not only improving the methodologies for design and manufacturing, but optimizing performance during part-load operation and transient conditions. A well-adopted solution consists of developing waste heat recovery (WHR) systems based on Organic Rankine Cycle (ORC) power units. The highest efficiency for such cycle is obtained at low superheating values, corresponding to the situation where the system exhibits time-varying nonlinear dynamics, triggered by the fluctuating nature of the waste heat source. In this paper, an adaptive control law using the Model Predictive Control (MPC) framework is proposed. This work goes a step beyond most of the existing scientific works in the field of ORC power systems, since the MPC controller is implemented in a lab-scale prototype, and its performance compared against a gain-scheduled PID strategy. The experimental results show that the adaptive MPC outperforms the gain-scheduled PID based strategy, as it allows to accurately regulate the evaporating temperature, while keeping vapor condition at the inlet of the expander i.e., the superheating, in a safe operating range, thus increasing the net power generation. (C) 2017 Elsevier Ltd. All rights reserved.},
  author       = {Hernandez Naranjo, Jairo Andres and Desideri, Adriano and Gusev, Sergei and Ionescu, Clara-Mihaela and van den Broek, Martijn and Quoilin, Sylvain and Lemort, Vincent and De Keyser, Robain},
  issn         = {0306-2619},
  journal      = {APPLIED ENERGY},
  keywords     = {ORGANIC RANKINE-CYCLE,DUTY DIESEL-ENGINES,THERMODYNAMIC ANALYSIS,PERFORMANCE ANALYSIS,ORC SYSTEM,OPTIMIZATION,PARAMETERS,VEHICLES,MODEL},
  language     = {eng},
  pages        = {549--559},
  title        = {Design and experimental validation of an adaptive control law to maximize the power generation of a small-scale waste heat recovery system},
  url          = {http://dx.doi.org/10.1016/j.apenergy.2017.06.069},
  volume       = {203},
  year         = {2017},
}

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