Published

2022-01-05

Raspberry Pi based automatic temperature measurement and logging system for solar thermal purposes

Sistema de medición y monitoreo automático de la temperatura para propósitos termosolares utilizando Raspberry Pi

DOI:

https://doi.org/10.15446/mo.n64.97787

Keywords:

Raspberry Pi, the temperature measurement system, automatic temperature logging system, solar thermal pond, open-source hardware (en)
Sistema de medición de temperatura, sistema de registro automático de temperatura, Raspberry Pi, estanque termosolar, hardware de código abierto (es)

Downloads

Authors

  • Natarajan Shriethar Department of Energy Science, Alagappa University, Karaikudi.
  • Pournan Letchoumanane Department of Microbiology and Biotechnology, Presidency College, Chennai.
  • Saravanakumar Solai Department of BioElectronics and BioSensors, Alagappa University.

For automatic temperature measuring and logging purposes in solar thermal experiments, a single board computer - Raspberry Pi based and sensor system is proposed. Different data sets are observed for sensors, thermometers, and thermocouples and they are compared. The consistency of the automated temperature measurement system is also verified.

Se propone un sistema de medición y monitoreo automático de la temperatura en experimentos termosolares, basados en un computador de placa única - Raspberry Pi y un sistema de sensores. Los resultados de diferentes conjuntos de datos obtenidos por sensores, termopares y termómetros son comparados y se verifica la consistencia del sistema automático de medición de la temperatura.

References

A. Sakhrieh and A. Al-Salaymeh, Energy Conversion and Management 65, 725 (2013).

F. Banat, S. El-Sayed, and S. El-Temtamy, Renewable energy 4, 265 (1994).

M. H. Abbood, M. Alhwayzee, and M. A. Sultan, in IOP Conference Series: Materials Science and Engineering, Vol. 1067 (IOP Publishing, 2021) p. 012098.

M. Hassairi, M. J. Sa , and S. Chibani, Solar Energy 70, 45 (2001).

S. Tundee, N. Srihajong, and S. Charmongkolpradit, Energy Procedia 48, 453 (2014).

V. Vujovic and M. Maksimovic, in 2014 37th International Convention on Information and Communication Technology, Electronics and Microelectronics (MIPRO) (2014) pp. 1013-1018.

V. Vujovic and M. Maksimovic, Computers & Electrical Engineering 44, 153 (2015).

N. Froese, PV data logger report (Doctoral dissertation (Murdoch University, 2013).

S. S. Prabha, A. J. P. Antony, M. J. Meena, and S. R. Pandian, in 2014 International Conference on Recent Trends in Information Technology (2014) pp. 1-5.

S. S. Priya and M. H. Iqbal, International Journal of Computer Applications 116, 28 (2015).

D. P. Sharma, K. Samuel, K. Ramoutar, T. Lowe, and I. David, Journal of Basic and Applied Engineering Research 4, 307 (2017).

D. Molloy, Exploring Raspberry Pi: Interfacing to the Real World with Embedded Linux (John Wiley & Sons, Inc., 2016).

L. Ping, Z. Yucai, X. Zeng, and Y. Ting-fang, in 2007 2nd IEEE Conference on Industrial Electronics and Applications (2007. ICIEA 2nd IEEE Conference on . IEEE, 2007) pp. 188-191.

P. A. Shinde and Y. B. Mane, in 2015 IEEE 9th International Conference on Intelligent Systems and Control (ISCO) (IEEE, 2015) pp. 1-6.

E. Upton and G. Halfacree, Raspberry Pi User Guide, 4th Edition (Wiley, 2014).

P. Membrey and D. Hows, Learn Raspberry Pi 2 with Linux and Windows 10 (Apress, 2015).

R. Pi, "Raspberry pi 3 model b. https://www.raspberrypi.org," (2015).

S. F. Lott, in Building Skills in Python. Self-published (2010).

How to Cite

APA

Shriethar, N., Letchoumanane, P. . and Solai, S. . (2022). Raspberry Pi based automatic temperature measurement and logging system for solar thermal purposes. MOMENTO, (64), 1–15. https://doi.org/10.15446/mo.n64.97787

ACM

[1]
Shriethar, N., Letchoumanane, P. and Solai, S. 2022. Raspberry Pi based automatic temperature measurement and logging system for solar thermal purposes. MOMENTO. 64 (Jan. 2022), 1–15. DOI:https://doi.org/10.15446/mo.n64.97787.

ACS

(1)
Shriethar, N.; Letchoumanane, P. .; Solai, S. . Raspberry Pi based automatic temperature measurement and logging system for solar thermal purposes. Momento 2022, 1-15.

ABNT

SHRIETHAR, N.; LETCHOUMANANE, P. .; SOLAI, S. . Raspberry Pi based automatic temperature measurement and logging system for solar thermal purposes. MOMENTO, [S. l.], n. 64, p. 1–15, 2022. DOI: 10.15446/mo.n64.97787. Disponível em: https://revistas.unal.edu.co/index.php/momento/article/view/97787. Acesso em: 17 mar. 2025.

Chicago

Shriethar, Natarajan, Pournan Letchoumanane, and Saravanakumar Solai. 2022. “Raspberry Pi based automatic temperature measurement and logging system for solar thermal purposes”. MOMENTO, no. 64 (January):1-15. https://doi.org/10.15446/mo.n64.97787.

Harvard

Shriethar, N., Letchoumanane, P. . and Solai, S. . (2022) “Raspberry Pi based automatic temperature measurement and logging system for solar thermal purposes”, MOMENTO, (64), pp. 1–15. doi: 10.15446/mo.n64.97787.

IEEE

[1]
N. Shriethar, P. . Letchoumanane, and S. . Solai, “Raspberry Pi based automatic temperature measurement and logging system for solar thermal purposes”, Momento, no. 64, pp. 1–15, Jan. 2022.

MLA

Shriethar, N., P. . Letchoumanane, and S. . Solai. “Raspberry Pi based automatic temperature measurement and logging system for solar thermal purposes”. MOMENTO, no. 64, Jan. 2022, pp. 1-15, doi:10.15446/mo.n64.97787.

Turabian

Shriethar, Natarajan, Pournan Letchoumanane, and Saravanakumar Solai. “Raspberry Pi based automatic temperature measurement and logging system for solar thermal purposes”. MOMENTO, no. 64 (January 5, 2022): 1–15. Accessed March 17, 2025. https://revistas.unal.edu.co/index.php/momento/article/view/97787.

Vancouver

1.
Shriethar N, Letchoumanane P, Solai S. Raspberry Pi based automatic temperature measurement and logging system for solar thermal purposes. Momento [Internet]. 2022 Jan. 5 [cited 2025 Mar. 17];(64):1-15. Available from: https://revistas.unal.edu.co/index.php/momento/article/view/97787

Download Citation

CrossRef Cited-by

CrossRef citations2

1. Katerine Nayeli Raymundo Cardenas, Luiggie Wiliams Yallico Torres, Lisbeth Rosmery Asto Huarocc, Sario Angel Chamorro Quijano. (2023). Design of a Machine for the Optimization of the Potato Leaching Process to Produce Potato Starch. 2023 IEEE 14th Annual Ubiquitous Computing, Electronics & Mobile Communication Conference (UEMCON). , p.0754. https://doi.org/10.1109/UEMCON59035.2023.10316129.

2. Natarajan Shriethar, Narmadha Chandramohan, Chandramohan Rathinam. (2022). RASPBERRY PI-BASED SENSOR NETWORK FOR MULTI-PURPOSE NONLINEAR MOTION DETECTION IN LABORATORIES USING MEMS. MOMENTO, (65), p.52. https://doi.org/10.15446/mo.n65.102641.

Dimensions

PlumX

Article abstract page views

574

Downloads

Download data is not yet available.

License

Creative Commons License

This work is licensed under a Creative Commons Attribution-NoDerivatives 4.0 International License.

Those authors who have publications with this journal, accept the following terms:

a. The authors will retain their copyright and will guarantee the publication of the first publication of their work, which will be subject to the Attribution-SinDerivar 4.0 International Creative Commons Attribution License that permits redistribution, commercial or non-commercial, As long as the Work circulates intact and unchanged, where it indicates its author and its first publication in this magazine.

b. Authors are encouraged to disseminate their work through the Internet (eg in institutional telematic files or on their website) before and during the sending process, which can produce interesting exchanges and increase appointments of the published work.