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Experimental and CFD simulation of heat efficiency improvement in geothermal spas

Author

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  • Jalilinasrabady, Saeid
  • Palsson, Halldor
  • Saevarsdottir, Gudrun
  • Itoi, Ryuichi
  • Valdimarsson, Pall

Abstract

Hot spas and jacuzzis are popular in Iceland due to the abundance of reasonably prized geothermal heat available. However the water from the DH (district heating) system is too warm to be admitted directly into the spa. For safety reasons the water is mixed with cold water, from 75°C down to 50°C, which leads to wasting a large quantity of heat. Therefore a design was suggested that enables the feeding of geothermal water directly into the pot, omitting the step of mixing it with cold water. The idea is to employ an open heat exchanger that transfers much heat from the geothermal water to the bulk water in the spa, before letting it mix with the spa water. A case study was done for one particular spa. Heat load was calculated and measured when the spa was in use, and when it was unused. A design is suggested employing a circular double-plate which is to be placed at bottom of pot. This unit will function as an open heat exchanger feeding DH water into the pot. Free convection takes place at the up side of the upper plate and forced convection below the upper plate. Heat-transfer coefficient for both was calculated. Temperature field in the pool before and after implementation of the open heat exchanger was measured at different points using thermocouples. The measured temperatures were compared to thermal and fluid-dynamic simulation of the temperature and flow fields obtaining good accordance. Results are reasonable and promising for a good design that may considerably reduce the energy expenses for a continuously heated geothermal spa. More detailed measurements were made on the upper plate of the heat exchanger and detailed simulation of the heat exchanger itself was then used to obtain a value for the heat-transfer coefficient for the upper plate to the surrounding water. This information was used to make an improved design for the open plate heat exchanger, stating that a diameter of 63cm and a thickness of 1.5cm were suggested as final design. Due to economy consideration the recovery time of the implementing of suggested heat exchanger is estimated to 8 months in studied case.

Suggested Citation

  • Jalilinasrabady, Saeid & Palsson, Halldor & Saevarsdottir, Gudrun & Itoi, Ryuichi & Valdimarsson, Pall, 2013. "Experimental and CFD simulation of heat efficiency improvement in geothermal spas," Energy, Elsevier, vol. 56(C), pages 124-134.
  • Handle: RePEc:eee:energy:v:56:y:2013:i:c:p:124-134
    DOI: 10.1016/j.energy.2013.04.057
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    References listed on IDEAS

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    1. Zheng, Guozhong & Li, Feng & Tian, Zhe & Zhu, Neng & Li, Qianru & Zhu, Han, 2012. "Operation strategy analysis of a geothermal step utilization heating system," Energy, Elsevier, vol. 44(1), pages 458-468.
    2. Walmsley, Michael R.W. & Walmsley, Timothy G. & Atkins, Martin J. & Neale, James R., 2013. "Methods for improving heat exchanger area distribution and storage temperature selection in heat recovery loops," Energy, Elsevier, vol. 55(C), pages 15-22.
    3. Lund, Henrik, 2007. "Renewable energy strategies for sustainable development," Energy, Elsevier, vol. 32(6), pages 912-919.
    4. Dotzauer, Erik, 2003. "Experiences in mid-term planning of district heating systems," Energy, Elsevier, vol. 28(15), pages 1545-1555.
    5. Zhu, L. & Hurt, R. & Correa, D. & Boehm, R., 2009. "Comprehensive energy and economic analyses on a zero energy house versus a conventional house," Energy, Elsevier, vol. 34(9), pages 1043-1053.
    6. Verda, Vittorio & Colella, Francesco, 2011. "Primary energy savings through thermal storage in district heating networks," Energy, Elsevier, vol. 36(7), pages 4278-4286.
    7. Torchio, Marco F. & Genon, Giuseppe & Poggio, Alberto & Poggio, Marco, 2009. "Merging of energy and environmental analyses for district heating systems," Energy, Elsevier, vol. 34(3), pages 220-227.
    8. Lund, H. & Möller, B. & Mathiesen, B.V. & Dyrelund, A., 2010. "The role of district heating in future renewable energy systems," Energy, Elsevier, vol. 35(3), pages 1381-1390.
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    Cited by:

    1. Alvin Kiprono Bett & Saeid Jalilinasrabady, 2021. "Optimization of ORC Power Plants for Geothermal Application in Kenya by Combining Exergy and Pinch Point Analysis," Energies, MDPI, vol. 14(20), pages 1-17, October.
    2. Mohammadzadeh Bina, Saeid & Jalilinasrabady, Saeid & Fujii, Hikari, 2017. "Energy, economic and environmental (3E) aspects of internal heat exchanger for ORC geothermal power plants," Energy, Elsevier, vol. 140(P1), pages 1096-1106.
    3. Roy, Monisha & Roy, S. & Basak, Tanmay, 2015. "Role of various moving walls on energy transfer rates via heat flow visualization during mixed convection in square cavities," Energy, Elsevier, vol. 82(C), pages 1-22.
    4. Jalilinasrabady, Saeid & Tanaka, Toshiaki & Itoi, Ryuichi & Goto, Hiroki, 2021. "Numerical simulation and production prediction assessment of Takigami geothermal reservoir," Energy, Elsevier, vol. 236(C).
    5. Zhu, Hongjun & Lin, Pengzhi & Pan, Qian, 2014. "A CFD (computational fluid dynamic) simulation for oil leakage from damaged submarine pipeline," Energy, Elsevier, vol. 64(C), pages 887-899.

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