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Hernandez Naranjo Jairo Andres

Département d'aérospatiale et mécanique > Systèmes énergétiques

A&M

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Main Referenced Co-authors
Lemort, Vincent  (7)
De Keyser, Robin (6)
Quoilin, Sylvain  (6)
Desideri, Adriano  (5)
Ionescu, Clara (5)
Main Referenced Keywords
Organic Rankine Cycle (4); model predictive control (2); organic Rankine cycle (2); Abandoned Mines (1); Adaptive Model Predictive Control (1);
Main Referenced Disciplines
Energy (5)
Mechanical engineering (3)
Aerospace & aeronautics engineering (1)

Publications (total 9)

The most downloaded
221 downloads
Hernandez Naranjo, J. A., Desideri, A., Ionescu, C., Quoilin, S., Lemort, V., & De Keyser, R. (2015). Experimental study of Predictive Control strategies for optimal operation of Organic Rankine Cycle systems. In Experimental study of Predictive Control strategies for optimal operation of Organic Rankine Cycle systems (pp. 2259-2264). doi:10.1109/ECC.2015.7330874 https://hdl.handle.net/2268/198114

The most cited

32 citations (OpenAlex)

Hernandez Naranjo, J. A., Desideri, A., Gusev, S., Ionescu, C., Van den Broek, M., Quoilin, S., Lemort, V., & De Keyser, R. (18 June 2017). Design and experimental validation of an adaptive control law to maximize power generation of a small-scale waste heat recovery system. Applied Energy, 203, 549-559. doi:10.1016/j.apenergy.2017.06.069 https://hdl.handle.net/2268/212382

Cendoya, A., Ransy, F., Lemort, V., Hernandez Naranjo, J. A., Dewallef, P., Gresse, P.-H., & Windeshausen, J. (14 July 2024). Modelling and Simulation of a Carnot Battery Coupled to Seasonal Underground Stratified Thermal Energy Storage for Heating, Cooling and Electricity Generation [Paper presentation]. HERRICK CONFERENCES 2024 - High Performance Buildings Conferece, West-Lafayette, United States - Indiana.

Hernandez Naranjo, J. A. (2023). Data-driven Modeling and Control of Waste Heat Recovery Organic Rankine Cycle Systems [Doctoral thesis, ULiège - University of Liège]. ORBi-University of Liège. https://orbi.uliege.be/handle/2268/306037

Hernandez Naranjo, J. A., Ruiz, F., Gusev, S., De Keyser, R., Quoilin, S., & Lemort, V. (2021). Experimental validation of a multiple model predictive control for waste heat recovery organic Rankine cycle systems. Applied Thermal Engineering. doi:10.1016/j.applthermaleng.2021.116993
Peer Reviewed verified by ORBi

Hernandez Naranjo, J. A., Desideri, A., Gusev, S., Ionescu, C., Van den Broek, M., Quoilin, S., Lemort, V., & De Keyser, R. (18 June 2017). Design and experimental validation of an adaptive control law to maximize power generation of a small-scale waste heat recovery system. Applied Energy, 203, 549-559. doi:10.1016/j.apenergy.2017.06.069
Peer Reviewed verified by ORBi

Hernandez Naranjo, J. A. (2016). Performance evaluation of MPC for Waste Heat Recovery applications using organic Rankine cycle systems. In A. hernandez, Latin American control conference 2016, Medellin, Colombia, 13-15 October 2016.
Peer reviewed

Hernandez Naranjo, J. A., Desideri, A., Ionescu, C., De Keyser, R., Lemort, V., & Quoilin, S. (2016). Real-Time Optimization of Organic Rankine Cycle Systems by Extremum-Seeking Control. Energies, 9. doi:10.3390/en9050334
Peer Reviewed verified by ORBi

Hernandez Naranjo, J. A., Desideri, A., Ionescu, C., Quoilin, S., Lemort, V., & De Keyser, R. (2015). TOWARDS THE OPTIMAL OPERATION OF AN ORGANIC RANKINE CYCLE UNIT BY MEANS OF MODEL PREDICTIVE CONTROL Andres. In TOWARDS THE OPTIMAL OPERATION OF AN ORGANIC RANKINE CYCLE UNIT BY MEANS OF MODEL PREDICTIVE CONTROL.

Hernandez Naranjo, J. A., Desideri, A., Ionescu, C., Quoilin, S., Lemort, V., & De Keyser, R. (2015). Experimental study of Predictive Control strategies for optimal operation of Organic Rankine Cycle systems. In Experimental study of Predictive Control strategies for optimal operation of Organic Rankine Cycle systems (pp. 2259-2264). doi:10.1109/ECC.2015.7330874

Hernandez Naranjo, J. A., Desideri, A., Ionescu, C., Quoilin, S., Lemort, V., & De Keyser, R. (25 August 2014). Increasing the efficiency of Organic Rankine Cycle Technology by means of Multivariable Predictive Control [Paper presentation]. The 19th World Congress of the International Federation of Automatic Control, Cape Town, South Africa.

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