2026-04-27T21:27:57Zhttps://riubu.ubu.es/oai/request

oai:riubu.ubu.es:10259/97172024-11-22T13:46:34Zcom_10259_4393com_10259_5086com_10259_2604col_10259_9655

García Rodríguez, Ana 214 600 0000-0003-3233-0525 García Rodríguez, Sol 757 600 0000-0002-7064-0308 Granados López, Diego 264 600 0000-0002-9046-7397 Garrachón Gómez, Elena 1bdc7dd5-2835-42d5-958c-67406b190daf 600 Diez Mediavilla, Montserrat 154 600 0000-0002-4957-9530 2024-11-20T07:57:26Z 2024-11-20T07:57:26Z 2022 978-84-09-42477-1 http://hdl.handle.net/10259/9717 Comunicación presentada en: XII Congreso Nacional y III Internacional de Ingeniería Termodinámica (12 CNIT), June 19- July 1, Madrid (Spain) Photosynthetically Active Radiation (PAR, 400-700 nm) is the energy source to trigger photosynthesis. This process makes food and biomass production and forest productivity possible, so it becomes essential for determining the impact of deforestation and climate change on agriculture. Due to the scarcity of PAR data from direct measurements at ground meteorological stations, empirical models based on linear regressions have been developed for estimate PAR data, using other meteorological and climatic variables. In recent years, machine learning algorithms have been discovered as a useful tool for modelling meteorological and climatic data. Thus, Artificial Neural Networks (ANN) have been used for modelling PAR, with different meteorological variables as input. Both procedures, multilinear regressions and ANN’s, have been used in this work for modelling PAR in Burgos (Spain) under all sky conditions attending to the sky clearness classification and in an hourly basis. The performance of the resulting models has been tested for PAR estimates at other locations. To this end, he experimental data obtained from the Surface Radiation Budget Network (SURFRAD) in the USA was used. This proves the good fit of the models developed in Burgos to the SURFRAD weather stations. Financial support was provided by the Spanish MCIN (Ref. RTI2018-098900-B-I00). Junta de Castilla y León provided financial support for Diego Granados López and Elena Garrachón Gómez (ORDEN EDU/556/2019 and Programa Operativo de Empleo Juvenil, Fondo Social Europeo, respectively). application/pdf eng Proceedings 12CNIT 2022, p. 981-986 Solar radiation Modelling biomass PAR Termodinámica Energía solar Thermodynamics Solar energy Extension of locally adapted models of photosynthetically active radiation for all sky conditions info:eu-repo/semantics/conferenceObject info:eu-repo/semantics/publishedVersion info:eu-repo/semantics/openAccess THUMBNAIL Garcia-12CNIT_2022-(2).pdf.jpg Garcia-12CNIT_2022-(2).pdf.jpg IM Thumbnail image/jpeg 1867 https://riubu.ubu.es/bitstream/10259/9717/3/Garcia-12CNIT_2022-%282%29.pdf.jpg 25af627aa44474d3aa10ebf85e1c9aba MD5 3 LICENSE license.txt license.txt text/plain; charset=utf-8 1362 https://riubu.ubu.es/bitstream/10259/9717/2/license.txt 5d013bfa6e473ff0db22cd82a4d71a70 MD5 2 ORIGINAL Garcia-12CNIT_2022-(2).pdf Garcia-12CNIT_2022-(2).pdf application/pdf 512227 https://riubu.ubu.es/bitstream/10259/9717/1/Garcia-12CNIT_2022-%282%29.pdf cc73a2d38f902715ff796c95538d61b1 MD5 1 10259/9717 oai:riubu.ubu.es:10259/9717 2024-11-22 14:46:34.069 Repositorio Institucional de la Universidad de Burgos bubrep@ubu.es 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