UAV-based thermal imaging and heat output estimation of a coastal geothermal resource: La Jolla beach, Baja California, Mexico

Daniel Carbajal-Martínez, Loïc Peiffer, Alejandro Hinojosa-Corona, Armando Trasviña-Castro, Sergio M. Arregui-Ojeda, Francisco J. Carranza-Chávez, Carlos Flores-Luna, Rodrigo Méndez-Alonzo, Claudio Inguaggiato and Karen L. Casallas-Moreno

Renewable Energy, 2021, vol. 168, issue C, 1364-1376

Abstract: The exploration of unexploited geothermal resources is required to encourage the use of renewable energy. This study focuses on La Jolla beach, Ensenada, Mexico. The beach hosts a thermal anomaly with temperatures of up to 52 °C at the surface and up to 93 °C at 20 cm depth. The objectives were to: map the thermal anomaly, understand the impact of tides, quantify the thermal water discharge rate and heat output, and discuss a direct use of the energy. The mapping was performed with Unmanned Aerial Vehicles equipped with optical and thermal cameras at two different dates. Additional temperature measurements were performed with a thermocouple, while the total fluid discharge was estimated from flow measurements. A comparison between the campaigns indicated that the highest surface temperature area was more than three times larger in 2019 than in 2018 (259 m2 vs. 69 m2). Such change was due to the tidal range and associated hydrostatic pressure variations. The total thermal water discharge is 330 ± 44 L s−1, which corresponds to an advective heat output of 40.5 ± 5.2 MWt. The use of this energy in a Multi-Effect Distillation desalinization plant can contribute to cover the shortage of freshwater in Ensenada.

Keywords: Geothermal exploration; Coastal geothermal resource; Unmanned aerial vehicle; Thermal infrared image; Advective heat output; Desalinization plant (search for similar items in EconPapers)
Date: 2021
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Citations: View citations in EconPapers (1)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:renene:v:168:y:2021:i:c:p:1364-1376

DOI: 10.1016/j.renene.2020.12.113

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