Black box modelling of a latent heat thermal energy storage system coupled with heat pipes

A. Arteconi; F. Ferracuti; R. Tascioni; K. Mahkamov; M. Kenisarin; Carolina Costa; L. F. Cabeza; A. de Gracia; E. Halimic; D. Mullen; K. Lynn; L. Cioccolanti

doi:10.1088/1757-899x/1139/1/012010

Black box modelling of a latent heat thermal energy storage system coupled with heat pipes

A. Arteconi^*, F. Ferracuti, R. Tascioni, K. Mahkamov, M. Kenisarin, Carolina Costa, L. F. Cabeza, A. de Gracia, E. Halimic, D. Mullen, K. Lynn, L. Cioccolanti

^*Corresponding author for this work

Mechanical and Construction Engineering Department

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Abstract

This paper presents black box models to represent a LHTESS (Latent Heat Thermal Energy Storage System) coupled with heat pipes, aimed at increasing the storage performance and at decreasing the time of charging/discharging. The presented storage system is part of a micro solar CHP plant and the developed model is intended to be used in the simulation tool of the overall system, thus it has to be accurate but also fast computing. Black box data driven models are considered, trained by means of numerical data obtained from a white box detailed model of the LHTESS and heat pipes system. A year round simulation of the system during its normal operation within the micro solar CHP plant is used as dataset. Then the black box models are trained and finally validated on these data. Results show the need for a black box model that can take into account the different seasonal performance of the LHTESS. In this analysis the best fit was achieved by means of Random Forest models with an accuracy higher than 90%.

Original language	English
Article number	012010
Pages (from-to)	1-10
Number of pages	10
Journal	IOP Conference Series: Materials Science and Engineering
Volume	1139
Issue number	1
DOIs	https://doi.org/10.1088/1757-899x/1139/1/012010
Publication status	Published - 1 Apr 2021
Event	19th International Heat Pipe Conference and 13th International Heat Pipe Symposium (IHPC 2018) - Largo Bruno Pontecorvo, 3, Pisa, Italy Duration: 10 Jun 2018 → 14 Jun 2018 http://www.heatpipepisa.it/

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Arteconi, A., Ferracuti, F., Tascioni, R., Mahkamov, K., Kenisarin, M., Costa, C., Cabeza, L. F., de Gracia, A., Halimic, E., Mullen, D., Lynn, K., & Cioccolanti, L. (2021). Black box modelling of a latent heat thermal energy storage system coupled with heat pipes. IOP Conference Series: Materials Science and Engineering, 1139(1), 1-10. Article 012010. https://doi.org/10.1088/1757-899x/1139/1/012010

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abstract = "This paper presents black box models to represent a LHTESS (Latent Heat Thermal Energy Storage System) coupled with heat pipes, aimed at increasing the storage performance and at decreasing the time of charging/discharging. The presented storage system is part of a micro solar CHP plant and the developed model is intended to be used in the simulation tool of the overall system, thus it has to be accurate but also fast computing. Black box data driven models are considered, trained by means of numerical data obtained from a white box detailed model of the LHTESS and heat pipes system. A year round simulation of the system during its normal operation within the micro solar CHP plant is used as dataset. Then the black box models are trained and finally validated on these data. Results show the need for a black box model that can take into account the different seasonal performance of the LHTESS. In this analysis the best fit was achieved by means of Random Forest models with an accuracy higher than 90%.",

author = "A. Arteconi and F. Ferracuti and R. Tascioni and K. Mahkamov and M. Kenisarin and Carolina Costa and Cabeza, {L. F.} and {de Gracia}, A. and E. Halimic and D. Mullen and K. Lynn and L. Cioccolanti",

note = "This study is a part of the Innova MicroSolar Project, funded in the framework of the European Union{\textquoteright}s Horizon 2020 Research and Innovation Programme (grant agreement No 723596). Dr. Alvaro de Gracia has received funding from the European Union's Horizon 2020 research and innovation programme under the Marie Sklodowska-Curie grant agreement No 712949.; 19th International Heat Pipe Conference and 13th International Heat Pipe Symposium (IHPC 2018), IHPC 2018 ; Conference date: 10-06-2018 Through 14-06-2018",

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Arteconi, A, Ferracuti, F, Tascioni, R, Mahkamov, K, Kenisarin, M, Costa, C, Cabeza, LF, de Gracia, A, Halimic, E, Mullen, D, Lynn, K & Cioccolanti, L 2021, 'Black box modelling of a latent heat thermal energy storage system coupled with heat pipes', IOP Conference Series: Materials Science and Engineering, vol. 1139, no. 1, 012010, pp. 1-10. https://doi.org/10.1088/1757-899x/1139/1/012010

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AU - Arteconi, A.

AU - Ferracuti, F.

AU - Tascioni, R.

AU - Mahkamov, K.

AU - Kenisarin, M.

AU - Costa, Carolina

AU - Cabeza, L. F.

AU - de Gracia, A.

AU - Halimic, E.

AU - Mullen, D.

AU - Lynn, K.

AU - Cioccolanti, L.

N1 - This study is a part of the Innova MicroSolar Project, funded in the framework of the European Union’s Horizon 2020 Research and Innovation Programme (grant agreement No 723596). Dr. Alvaro de Gracia has received funding from the European Union's Horizon 2020 research and innovation programme under the Marie Sklodowska-Curie grant agreement No 712949.

PY - 2021/4/1

Y1 - 2021/4/1

N2 - This paper presents black box models to represent a LHTESS (Latent Heat Thermal Energy Storage System) coupled with heat pipes, aimed at increasing the storage performance and at decreasing the time of charging/discharging. The presented storage system is part of a micro solar CHP plant and the developed model is intended to be used in the simulation tool of the overall system, thus it has to be accurate but also fast computing. Black box data driven models are considered, trained by means of numerical data obtained from a white box detailed model of the LHTESS and heat pipes system. A year round simulation of the system during its normal operation within the micro solar CHP plant is used as dataset. Then the black box models are trained and finally validated on these data. Results show the need for a black box model that can take into account the different seasonal performance of the LHTESS. In this analysis the best fit was achieved by means of Random Forest models with an accuracy higher than 90%.

AB - This paper presents black box models to represent a LHTESS (Latent Heat Thermal Energy Storage System) coupled with heat pipes, aimed at increasing the storage performance and at decreasing the time of charging/discharging. The presented storage system is part of a micro solar CHP plant and the developed model is intended to be used in the simulation tool of the overall system, thus it has to be accurate but also fast computing. Black box data driven models are considered, trained by means of numerical data obtained from a white box detailed model of the LHTESS and heat pipes system. A year round simulation of the system during its normal operation within the micro solar CHP plant is used as dataset. Then the black box models are trained and finally validated on these data. Results show the need for a black box model that can take into account the different seasonal performance of the LHTESS. In this analysis the best fit was achieved by means of Random Forest models with an accuracy higher than 90%.

U2 - 10.1088/1757-899x/1139/1/012010

DO - 10.1088/1757-899x/1139/1/012010

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SP - 1

EP - 10

JO - IOP Conference Series: Materials Science and Engineering

JF - IOP Conference Series: Materials Science and Engineering

IS - 1

M1 - 012010

T2 - 19th International Heat Pipe Conference and 13th International Heat Pipe Symposium (IHPC 2018)

Y2 - 10 June 2018 through 14 June 2018

ER -

Black box modelling of a latent heat thermal energy storage system coupled with heat pipes

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