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Publicaciones científicas



AÑO 2019

ARENAS, S., DÍAZ, F., PEÑATE, B., DE LA FUENTE, J. A. Technical review, evaluation and efficiency of energy recovery devices installed in the Canary Islands desalination plants. Desalination, 2019, vol. 450, p. 54-63.

PADRÓN, I., ÁVILA, D., MARICHAL, G.N., RODRÍGUEZ, J.A. Assessment of Hybrid Renewable Energy Systems to supplied energy to Autonomous Desalination Systems in two islands of the Canary Archipelago. Renewable and Sustainable Energy Reviews. Volume 101, March 2019, Pages 221-230.

AÑO 2018

CABRERA, P., LUND, H., CARTA, J. A. Smart renewable energy penetration strategies on islands: The case of Gran Canaria. Energy, 2018.

CABRERA, P., CARTA, J.A., GONZÁLEZ, J., MELIÁN, G. Wind-driven SWRO desalination prototype with and without batteries: A performance simulation using machine learning models. Desalination, 2018, vol. 435, p. 77-96.

DELGADO-TORRES, A. M., GARCÍA-RODRÍGUEZ, L., PEÑATE, B., DE LA FUENTE, J. A., MELIÁN, G. Chapter 3 “Water Desalination by Solar-Powered RO Systems”. En BASILE, A., CASSANO, A., FIGOLI, A. Current Trends and Future Developments on (Bio-) Membranes. Renewable Energy Integrated with Membrane Operations. ELSEVIER, septiembre de 2018, pp: 45-84. ISBN: 978-0-12-813545-7.
GÓMEZ-GOTOR, Antonio, et al. The history of desalination in the Canary Islands. Desalination, 2018, vol. 428, p. 86-107.
SADHWANI ALONSO, J.J., EL KORI, N,. MELIÁN-MARTEL, N., DEL RÍO-GAMERO, B. Removal of ciprofloxacin from seawater by reverse osmosis. Journal of environmental management, 2018, vol. 217, p. 337-345.

AÑO 2017

BLANCO-MARIGORTA, A.M., Lozano-Medina, A., Marcos, J.D. A critical review of definitions for exergetic efficiency in reverse osmosis desalination plants. Energy, 2017, vol. 137, p. 752-760.

BLANCO-MARIGORTA, A. M., Lozano-Medina, A., Marcos, J.D. The exergetic efficiency as a performance evaluation tool in reverse osmosis desalination plants in operation. Desalination, 2017, vol. 413, p. 19-28.

CABRERA, P., Carta, J.A., González, J., Melián, G. Artificial neural networks applied to manage the variable operation of a simple seawater reverse osmosis plant. Desalination, 2017, vol. 416, p. 140-156.