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Optimization of the exploitation system of a low enthalpy geothermal aquifer with zones of different transmissivities and temperatures

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  • Tselepidou, K.
  • Katsifarakis, K.L.

Abstract

Market penetration of renewable energy sources, such as geothermal energy, could be promoted even by small cost reductions, achieved through improved development design. This paper deals with optimization of the exploitation system of a low enthalpy geothermal aquifer, by means of the method of genetic algorithms, which has been successfully used in similar problems of groundwater resources management. With respect to water flow, the aquifer consists of two zones of different transmissivities, while from the thermal point of view it may bear any number of zones with different temperatures. The optimization process comprises the annual pumping cost of the required flow and the amortization cost of the pipe network, which carries the hot water from the wells to a central water tank, situated at the border of the geothermal field. Results show that application of the proposed methodology allows better planning of low enthalpy geothermal heating systems, which may be crucial in cases of marginal financial viability.

Suggested Citation

  • Tselepidou, K. & Katsifarakis, K.L., 2010. "Optimization of the exploitation system of a low enthalpy geothermal aquifer with zones of different transmissivities and temperatures," Renewable Energy, Elsevier, vol. 35(7), pages 1408-1413.
    • Handle: RePEc:eee:renene:v:35:y:2010:i:7:p:1408-1413
    DOI: 10.1016/j.renene.2009.11.004
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    Cited by:

    1. Baños, R. & Manzano-Agugliaro, F. & Montoya, F.G. & Gil, C. & Alcayde, A. & Gómez, J., 2011. "Optimization methods applied to renewable and sustainable energy: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 15(4), pages 1753-1766, May.
    2. Daniilidis, Alexandros & Alpsoy, Betül & Herber, Rien, 2017. "Impact of technical and economic uncertainties on the economic performance of a deep geothermal heat system," Renewable Energy, Elsevier, vol. 114(PB), pages 805-816.
    3. Kontos, Y.N. & Katsifarakis, K.L., 2017. "Optimal management of a theoretical coastal aquifer with combined pollution and salinization problems, using genetic algorithms," Energy, Elsevier, vol. 136(C), pages 32-44.

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