Evaluation of Two Procedures for Selecting the CIE Standard Sky Type Using High Dynamic Range Images

Autor: Carlos Sáenz Gamasa, María Angeles de Blas Corral, Mikel Ormazábal Pagola, José Luis Torres Escribano, Ignacio García Ruiz, Begoña Hernández Salueña
Přispěvatelé: Universidad Pública de Navarra. Departamento de Ingeniería, Universidad Pública de Navarra. Departamento de Ciencias, Nafarroako Unibertsitate Publikoa. Ingeniaritza Saila, Nafarroako Unibertsitate Publikoa. Zientziak Saila, Gobierno de Navarra / Nafarroako Gobernua, Universidad Pública de Navarra / Nafarroako Unibertsitate Publikoa. ISC - Institute of Smart Cities, Universidad Pública de Navarra / Nafarroako Unibertsitate Publikoa. INAMAT2 - Institute for Advanced Materials and Mathematics
Rok vydání: 2019
Předmět:
Zdroj: Academica-e. Repositorio Institucional de la Universidad Pública de Navarra
instname
Academica-e: Repositorio Institucional de la Universidad Pública de Navarra
Universidad Pública de Navarra
DOI: 10.18086/swc.2019.42.03
Popis: Póster presentado al 34th Solar World Congress (SWC). Santiago (Chile), 2019. The characterization of sky conditions according to the CIE Standard General Sky classification requires knowledge of diffuse luminance angular distribution in the sky vault. This variable is usually measured by sky scanners. However, commercial sky scanners have different drawbacks related to their resolution and measurement time. An alternative to these devices is the use of sky images captured with a digital camera equipped with a fisheye lens. The range of luminances that may occur in the sky makes it necessary to use high dynamic range (HDR) images obtained by the fusion of a series of low dynamic range (LDR) images. Two procedures for the characterization of sky conditions according to the CIE standard using HDR images have been applied and evaluated. This work has been performed as a part of Project RECHICRAL (0011-1365-2017-000168), co-financed by the Government of Navarre and the European Regional Development Fund through the FEDER Operational Program 2014-2020 of Navarre, and Project IRILURREFLEX (ENE2017-86974-R), financed by the Spanish State Research Agency (Agencia Estatal de Investigación, AEI) and European Regional Development Fund (Fondo Europeo de Desarrollo Regional, FEDER).
Databáze: OpenAIRE