RT info:eu-repo/semantics/conferenceObject
T1 Extension of locally adapted models of photosynthetically active radiation for all sky conditions
A1 García Rodríguez, Ana
A1 García Rodríguez, Sol
A1 Granados López, Diego
A1 Garrachón Gómez, Elena
A1 Diez Mediavilla, Montserrat
K1 Solar radiation
K1 Modelling
K1 PAR
K1 biomass
K1 Termodinámica
K1 Thermodynamics
K1 Energía solar
K1 Solar energy
AB 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.
SN 978-84-09-42477-1
YR 2022
FD 2022
LK http://hdl.handle.net/10259/9717
UL http://hdl.handle.net/10259/9717
LA eng
NO Comunicación presentada en: XII Congreso Nacional y III Internacional de Ingeniería Termodinámica (12 CNIT), June 19- July 1, Madrid (Spain)
NO 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).
DS Repositorio Institucional de la Universidad de Burgos
RD 24-dic-2024