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Maximum expected ramp rates using cloud speed sensor measurements
dc.creator | Wang, Guang Chao | es_ES |
dc.creator | Kurtz, Ben | es_ES |
dc.creator | Bosch, Juan Luis | es_ES |
dc.creator | Parra Laita, Íñigo de la | es_ES |
dc.creator | Kleissl, Jan | es_ES |
dc.date.accessioned | 2021-03-18T09:23:53Z | |
dc.date.available | 2021-09-25T23:00:09Z | |
dc.date.issued | 2020 | |
dc.identifier.issn | 1941-7012 (Electronic) | |
dc.identifier.uri | https://hdl.handle.net/2454/39419 | |
dc.description.abstract | Large ramps and ramp rates in photovoltaic (PV) power output are of concern and sometimes even explicitly restricted by grid operators. Battery energy storage systems can smooth the power output and maintain ramp rates within permissible limits. To enable PV plant and energy storage system design and planning, a method to estimate the largest expected ramps for a given location is proposed. Because clouds are the dominant source of PV power output variability, an analytical relationship between the worst expected ramp rate, cloud motion vector, and the geometrical layout of the PV plant is developed. The ability of the proposed method to bracket actual ramp rates is assessed over 10 months under different meteorological conditions, demonstrating an average compliance rate of 98.9% for a 2 min evaluation time window. The largest observed ramp of 29.7% s(-1)is contained with the worst case estimate of 34.3% s(-1). This method provides a convenient yet economical approach to worst-case PV ramp rate modeling and is compatible with solar irradiance measured at coarse temporal resolution. | en |
dc.description.sponsorship | Juan Bosch was financed in part by Project No. PID2019-108953RB-C21, funded by the Ministerio de Ciencia e Innovación and co-financed by the European Regional Development Fund. In addition, Iñigo de la Parra was partially supported by the Spanish State Research Agency (AEI) and FEDER-UE under Grant Nos. DPI2016-80641-R and DPI2016-80642-R. | en |
dc.format.extent | 16 p. | |
dc.format.mimetype | application/pdf | en |
dc.language.iso | eng | en |
dc.publisher | American Institute of Physics | en |
dc.relation.ispartof | Journal of Renewable and Sustainable Energy, 2020, 12, 056302 | en |
dc.rights | © 2020 Author(s). | en |
dc.subject | Sensors | en |
dc.subject | Solar irradiance | en |
dc.subject | Solar power plants | en |
dc.title | Maximum expected ramp rates using cloud speed sensor measurements | en |
dc.type | info:eu-repo/semantics/article | en |
dc.type | Artículo / Artikulua | es |
dc.contributor.department | Ingeniaritza Elektrikoa, Elektronikoaren eta Telekomunikazio Ingeniaritzaren | eu |
dc.contributor.department | Institute of Smart Cities - ISC | en |
dc.contributor.department | Ingeniería Eléctrica, Electrónica y de Comunicación | es_ES |
dc.rights.accessRights | info:eu-repo/semantics/openAccess | en |
dc.rights.accessRights | Acceso abierto / Sarbide irekia | es |
dc.embargo.terms | 2021-09-25 | |
dc.identifier.doi | 10.1063/5.0021875 | |
dc.relation.projectID | info:eu-repo/grantAgreement/ES/1PE/DPI2016-80641-R | en |
dc.relation.projectID | info:eu-repo/grantAgreement/ES/1PE/DPI2016-80642-R | en |
dc.relation.publisherversion | https://doi.org/10.1063/5.0021875 | |
dc.type.version | info:eu-repo/semantics/publishedVersion | en |
dc.type.version | Versión publicada / Argitaratu den bertsioa | es |