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Heat flows and energetic behavior of a telecommunication radio base station

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  • Petraglia, Antonio
  • Spagnuolo, Antonio
  • Vetromile, Carmela
  • D'Onofrio, Antonio
  • Lubritto, Carmine

Abstract

This paper shows a study on energetic consumption of BTSs (Base Transceiver Stations) for mobile communication, related to conditioning functions. An energetic “thermal model” of a telecommunication station is proposed and studied. The results have been validated with a BTS in central Italy, showing good agreement. Findings show a substantial high internal-external temperature difference in the containing shelter, particularly during daytime and warm months, due to sources of heat (equipment, external temperature and sun radiation) and to the difficulty in spread the warmth out. The necessity to keep the operating temperatures within a given range for the correct functioning of the electronic equipment requires the use of conditioning setups, and this significantly increases the energetic demand of the whole system. The analysis of thermal flows across the shelter can help to gather further data on its temperature behavior and to devise practical measures to lower the power demand, while keeping the operating parameters in the suggested ranges. The investigation of some operating parameters of the equipment and of the shelter, such as threshold set-points, air vent area, external wall transmittance and reflectivity, suggests annual energy savings between 10% and 30%.

Suggested Citation

  • Petraglia, Antonio & Spagnuolo, Antonio & Vetromile, Carmela & D'Onofrio, Antonio & Lubritto, Carmine, 2015. "Heat flows and energetic behavior of a telecommunication radio base station," Energy, Elsevier, vol. 89(C), pages 75-83.
    • Handle: RePEc:eee:energy:v:89:y:2015:i:c:p:75-83
    DOI: 10.1016/j.energy.2015.07.044
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    References listed on IDEAS

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    1. Sorrentino, Marco & Rizzo, Gianfranco & Genova, Fernando & Gaspardone, Marco, 2010. "A model for simulation and optimal energy management of Telecom switching plants," Applied Energy, Elsevier, vol. 87(1), pages 259-267, January.
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    3. Dai, Jun & Das, Diganta & Pecht, Michael, 2012. "Prognostics-based risk mitigation for telecom equipment under free air cooling conditions," Applied Energy, Elsevier, vol. 99(C), pages 423-429.
    4. Spagnuolo, Antonio & Petraglia, Antonio & Vetromile, Carmela & Formosi, Roberto & Lubritto, Carmine, 2015. "Monitoring and optimization of energy consumption of base transceiver stations," Energy, Elsevier, vol. 81(C), pages 286-293.
    5. Zhang, Hainan & Shao, Shuangquan & Xu, Hongbo & Zou, Huiming & Tian, Changqing, 2014. "Free cooling of data centers: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 35(C), pages 171-182.
    6. Lubritto, C. & Petraglia, A. & Vetromile, C. & Curcuruto, S. & Logorelli, M. & Marsico, G. & D’Onofrio, A., 2011. "Energy and environmental aspects of mobile communication systems," Energy, Elsevier, vol. 36(2), pages 1109-1114.
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    Cited by:

    1. Sorrentino, Marco & Acconcia, Matteo & Panagrosso, Davide & Trifirò, Alena, 2016. "Model-based energy monitoring and diagnosis of telecommunication cooling systems," Energy, Elsevier, vol. 116(P1), pages 761-772.
    2. Faruk, Nasir & Ruttik, Kalle & Mutafungwa, Edward & Jäntti, Riku, 2016. "Energy savings through self-backhauling for future heterogeneous networks," Energy, Elsevier, vol. 115(P1), pages 711-721.
    3. Zeljković, Čedomir & Mršić, Predrag & Erceg, Bojan & Lekić, Đorđe & Kitić, Nemanja & Matić, Petar, 2022. "Optimal sizing of photovoltaic-wind-diesel-battery power supply for mobile telephony base stations," Energy, Elsevier, vol. 242(C).

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