dc.creator | Pavón Contreras, Manuel | es |
dc.creator | Fernández, Carlos M. | es |
dc.creator | Silva Pérez, Manuel Antonio | es |
dc.creator | Moreno Tejera, Sara | es |
dc.creator | Guisado, María V. | es |
dc.creator | Bernardos, Ana | es |
dc.date.accessioned | 2021-03-24T12:11:59Z | |
dc.date.available | 2021-03-24T12:11:59Z | |
dc.date.issued | 2017-06 | |
dc.identifier.citation | Pavón Contreras, M., Fernández, C.M., Silva Pérez, M.A., Moreno Tejera, S., Guisado, M.V. y Bernardos, A. (2017). Statistical analysis of CSP plants by simulating extensive meteorological series. En 22nd International Conference on Concentrating Solar Power and Chemical Energy Systems, SolarPACES 2016 Abu Dhabi, United Arab Emirates: American Institute of Physics Inc.. | |
dc.identifier.isbn | 9780735415225 | es |
dc.identifier.issn | 0094-243X | es |
dc.identifier.uri | https://hdl.handle.net/11441/106546 | |
dc.description | AIP Conference Proceedings 1850, 160020-1–160020-8 | es |
dc.description.abstract | The feasibility analysis of any power plant project needs the estimation of the amount of energy it will be able
to deliver to the grid during its lifetime. To achieve this, its feasibility study requires a precise knowledge of the solar
resource over a long term period. In Concentrating Solar Power projects (CSP), financing institutions typically requires
several statistical probability of exceedance scenarios of the expected electric energy output. Currently, the industry
assumes a correlation between probabilities of exceedance of annual Direct Normal Irradiance (DNI) and energy yield. In
this work, this assumption is tested by the simulation of the energy yield of CSP plants using as input a 34-year series of
measured meteorological parameters and solar irradiance. The results of this work show that, even if some
correspondence between the probabilities of exceedance of annual DNI values and energy yields is found, the intraannual
distribution of DNI may significantly affect this correlation. This result highlights the need of standardized
procedures for the elaboration of representative DNI time series representative of a given probability of exceedance of
annual DNI. | es |
dc.format | application/pdf | es |
dc.format.extent | 9 p. | es |
dc.language.iso | eng | es |
dc.publisher | American Institute of Physics Inc. | es |
dc.relation.ispartof | AIP Conference Proceedings 1850, 160020 (2017) | |
dc.rights | Attribution-NonCommercial-NoDerivatives 4.0 Internacional | * |
dc.rights.uri | http://creativecommons.org/licenses/by-nc-nd/4.0/ | * |
dc.subject | CSP plants | es |
dc.subject | Irradiancia Normal Directa (DNI) | es |
dc.subject | Energy yield | es |
dc.title | Statistical analysis of CSP plants by simulating extensive meteorological series | es |
dc.type | info:eu-repo/semantics/conferenceObject | es |
dcterms.identifier | https://ror.org/03yxnpp24 | |
dc.type.version | info:eu-repo/semantics/publishedVersion | es |
dc.rights.accessRights | info:eu-repo/semantics/openAccess | es |
dc.contributor.affiliation | Universidad de Sevilla. Departamento de Ingeniería Energética | es |
dc.relation.publisherversion | https://aip.scitation.org/doi/abs/10.1063/1.4984554 | es |
dc.identifier.doi | 10.1063/1.4984554 | es |
dc.eventtitle | 22nd International Conference on Concentrating Solar Power and Chemical Energy Systems, SolarPACES 2016 | es |
dc.eventinstitution | Abu Dhabi, United Arab Emirates | es |
dc.identifier.sisius | 21895185 | |