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Estimating parasitic loads related to brine production from a hot sedimentary aquifer geothermal project: A case study from the Clarke Lake gas field, British Columbia

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  • Banks, Jonathan
  • Rabbani, Arif
  • Nadkarni, Kabir
  • Renaud, Evan

Abstract

Geothermal power development requires significant to decreasing parasitic loads. Developers often ignore the pumping power necessary to circulate geothermal fluids, leading to an erroneous calculations of power potential. We present a workflow for calculating the pumping power for wells in a geothermal field and apply it to the Clarke Lake Gas field in the northeast British Columbia as a case study. The combination of a thick, highly porous formation and subsurface water temperatures in excess of 110 °C make this field one of the most promising areas for geothermal development in Western Canada. The pumping parasitic loads for the field, calculated from the stabilized reservoir pressure and hydrogeological properties listed for the wells, varies significantly with reservoir temperature and depth from the ground surface to the water column. The parasitic loads related to production pumping requirements range from 2% to 60% with a mean of 21% and a standard deviation of 14%. We then revised previous gross power potential estimates for the Clarke Lake gas field base on our calculated parasitic loads. Our results suggest that, despite significant parasitic loads, the Clarke Lake gas field could still net tens of megawatts of electrical power over a multi-decade production period.

Suggested Citation

  • Banks, Jonathan & Rabbani, Arif & Nadkarni, Kabir & Renaud, Evan, 2020. "Estimating parasitic loads related to brine production from a hot sedimentary aquifer geothermal project: A case study from the Clarke Lake gas field, British Columbia," Renewable Energy, Elsevier, vol. 153(C), pages 539-552.
    • Handle: RePEc:eee:renene:v:153:y:2020:i:c:p:539-552
    DOI: 10.1016/j.renene.2020.02.043
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    References listed on IDEAS

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    1. Simon Weides & Jacek Majorowicz, 2014. "Implications of Spatial Variability in Heat Flow for Geothermal Resource Evaluation in Large Foreland Basins: The Case of the Western Canada Sedimentary Basin," Energies, MDPI, vol. 7(4), pages 1-22, April.
    2. Palmer-Wilson, K. & Banks, J. & Walsh, W. & Robertson, B., 2018. "Sedimentary basin geothermal favourability mapping and power generation assessments," Renewable Energy, Elsevier, vol. 127(C), pages 1087-1100.
    3. Kuhn, Max, 2008. "Building Predictive Models in R Using the caret Package," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 28(i05).
    4. Thorsten Agemar & Josef Weber & Rüdiger Schulz, 2014. "Deep Geothermal Energy Production in Germany," Energies, MDPI, vol. 7(7), pages 1-20, July.
    5. Yari, Mortaza, 2010. "Exergetic analysis of various types of geothermal power plants," Renewable Energy, Elsevier, vol. 35(1), pages 112-121.
    6. Barbier, Enrico, 2002. "Geothermal energy technology and current status: an overview," Renewable and Sustainable Energy Reviews, Elsevier, vol. 6(1-2), pages 3-65.
    7. Majorowicz, Jacek & Grasby, Stephen E., 2019. "Deep geothermal energy in Canadian sedimentary basins VS. Fossils based energy we try to replace – Exergy [KJ/KG] compared," Renewable Energy, Elsevier, vol. 141(C), pages 259-277.
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