Laboratorio de ensayos de equipos eléctricos solares del INENCO: caracterización de equipos FV provistos a través del Permer, primeros resultados

En el este trabajo se describen algunos procedimientos de ensayo de paneles fotovoltaicos, controladores de carga, acumuladores de plomo – ácido y conversores CC – CC. Se muestran también los primeros resultados obtenidos de la caracterización de dichos equipos eléctricos (unos 100 paneles 50 acumuladores, 50 controladores de carga y conversores), destinados a Licitación Internacional PERMER- FA-LPI B-C: “Provisión e instalación de equipos fotovoltaicos e instalación interna en viviendas rurales de diversas provincias etapa 1”, correspondiente a las provincias de Salta, Tucumán y Chaco. Los mismos se realizaron en distintos laboratorios del INENCO, por equipos de estudiantes y docentes, de acuerdo a Normas IRAM para la mayoría de los casos, aunque también en función de lo acordado con el Ente Regulador de los Servicios Públicos de Salta, y los equivalentes de las otras dos provincias mencionadas anteriormente.In this paper we describe some test procedures for photovoltaic panels, charge controllers, lead-acid batteries, and CC - CC converters. Also shown are the first results of the characterization of these electrical equipment (about 100 panels 50 batteries, charge controllers and 50 conversors) for International Bid-FA-LPI PERMER BC:"Supply and installation of photovoltaic equipment and installation internal rural households in various provinces stage 1" corresponding to the provinces of Salta, Tucuman and Chaco. They were performed in different INENCO laboratories by students and faculty teams, according IRAM for most cases, but also in terms of the agreement with the regulator for the Public Service of Salta and the equivalent of other two provinces mentioned above.Asociación Argentina de Energías Renovables y Medio Ambiente (ASADES

Cokriging for multivariate Hilbert space valued random fields: application to multi-fidelity computer code emulation

In this paper we propose Universal trace co-kriging, a novel methodology for interpolation of multivariate Hilbert space valued functional data. Such data commonly arises in multi-fidelity numerical modeling of the subsurface and it is a part of many modern uncertainty quantification studies. Besides theoretical developments we also present methodological evaluation and comparisons with the recently published projection based approach by Bohorquez et al. (Stoch Environ Res Risk Assess 31(1):53–70, 2016. https://doi.org/10.1007/s00477-016-1266-y). Our evaluations and analyses were performed on synthetic (oil reservoir) and real field (uranium contamination) subsurface uncertainty quantification case studies. Monte Carlo analyses were conducted to draw important conclusions and to provide practical guidelines for all future practitioners