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Suche nach „[Ramirez Camargo] [Luis]“ hat 66 Publikationen gefunden
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    Beitrag (Sammelband oder Tagungsband)

    Luis Ramirez Camargo, Wolfgang Dorner

    Integrating satellite imagery-derived data and GIS-based solar radiation algorithms to map solar radiation in high temporal and spatial resolutions for the province of Salta, Argentina

    Proceedings of the SPIE Remote Sensing Conference - Earth Resources and Environmental Remote Sensing/GIS Applications (September 27-29 2016; Edinburgh, GB)

    2016

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    Vortrag

    Luis Ramirez Camargo

    Integrating satellite imagery-derived data and GIS-based solar radiation algorithms to map solar radiation in high temporal and spatial resolutions for the province of Salta, Argentina

    (Session 3 - Processing Methodologies I)

    SPIE Remote Sensing Conference (Earth Resources and Environmental Remote Sensing/GIS Applications), Edinburgh, Großbritannien

    2016

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    Beitrag (Sammelband oder Tagungsband)

    Luis Ramirez Camargo, Wolfgang Dorner

    Impact of small-scale storage systems on the photovoltaic penetration potential at the municipal scale

    Energy Procedia (Special Issue: European Geosciences Union General Assembly 2016 - Division Energy, Resources and Environment [ERE], EGU 2016), April 17th-22nd 2016; Vienna, Austria), vol. 97

    2016

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    Beitrag (Sammelband oder Tagungsband)

    Luis Ramirez Camargo, Wolfgang Dorner

    Impact of small-scale storage systems on the photovoltaic penetration potential at the municipal scale

    Geophysical Research Abstracts, vol. 18

    2016

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    Vortrag

    Luis Ramirez Camargo

    Impact of small-scale storage systems on the photovoltaic penetration potential at the municipal scale

    (Session ERE3.1 Energy meteorology and spatial modelling of renewable energies)

    European Geosciences Union (EGU) General Assembly 2016, Wien, Österreich

    2016

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    Zeitschriftenartikel

    Luis Ramirez Camargo, Wolfgang Dorner

    Comparison of satellite imagery based data, reanalysis data and statistical methods for mapping global solar radiation in the Lerma Valley (Salta, Argentina)

    Renewable Energy, vol. 99, no. Dezember, pp. 57-68

    2016

    DOI: 10.1016/j.renene.2016.06.042

    Abstract anzeigen

    Global solar radiation is the most important factor to determine the energy generation potential of photovoltaic (PV) plants. In Argentina only a small number of ground measured data of global solar radiation exists. Researchers and PV developers have to use statistical methods or satellite imagery to handle this lack of information and provide an estimation of global solar radiation for a particular location. In this paper global solar radiation data sources for the Lerma valley are explored in order to assess which data set is best suitable for future studies of photovoltaic energy generation potential at the best possible spatial and temporal resolution. We evaluate global solar radiation from the reanalysis data set provided by the European Centre for Medium-Range Weather Forecasts (ECMWF) and the Meteosat second generation derived data set provided by Land Surface Analysis Satellite Applications Facility (LSA-SAF). These are compared with each other, with data generated using statistical methods and with data from a pyranometer. The results show that the data from LSA-SAF fit best to the ground measurements. This together with a high spatial and temporal resolution makes the LSA-SAF data a satisfactory alternative to compensate the lack of global solar radiation data available for the study area.

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    Zeitschriftenartikel

    Luis Ramirez Camargo, J. Franco, N. Sarmiento Babieri, S. Belmonte, K. Escalante, Raphaela Pagany, Wolfgang Dorner

    Technical, Economical and Social Assessment of Photovoltaics in the Frame of the Net-Metering Law for the Province of Salta, Argentina

    Energies, vol. 9, no. 3 (Article number 133)

    2016

    DOI: 10.3390/en9030133

    Abstract anzeigen

    Central and Northern Argentinean regions possess a high potential for the generation of solar energy. The realization of this potential is an alternative to alleviate the strong dependence on imports of fossil energy and to reduce the CO2 emissions of the country. However, the adoption of photovoltaics (PV) is still in an incipient state. It is undermined by a context of heavily subsidized electricity prices, high equipment and installation costs and a lack of information, training and experience in handling PV technology. This paper presents a techno-economical assessment of the application of the recently enacted net-metering law for promoting renewable energies (RE) in the Province of Salta (Northwest Argentina) for the case of PV. The assessment shows under which conditions and for which types of consumers it is profitable to adopt PV in the context of the law. This analysis is supported by a participatory planning approach as a study of stakeholders’ attitudes towards RE, intentions to adopt PV and their knowledge about the law. The results of this study and the economical analysis serve to provide recommendations aimed at increasing the level of PV adoption in the province.

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    Beitrag (Sammelband oder Tagungsband)

    Luis Ramirez Camargo, M. Altamirano, S. Belmonte, Wolfgang Dorner

    Comparación de fuentes satelitales, de re-análisis y métodos estadísticos para el mapeo de la radiación solar en el valle de Lerma (Salta-Argentina)

    Acta de la XXXVIII Reunión de Trabajo de la Asociación Argentina de Energías Renovables y Medio Ambiente; INENCO: Salta, Argentina, vol. 3

    2015

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    Beitrag (Sammelband oder Tagungsband)

    S. Belmonte, N. Sarmiento, K. Escalante, J. Franco, Luis Ramirez Camargo, Wolfgang Dorner

    Aportes a la planificación energética en salta. información de base, marco legal y desafíos al corto plazo

    Acta de la XXXVIII Reunión de Trabajo de la Asociación Argentina de Energías Renovables y Medio Ambiente; INENCO: Salta, Argentina, vol. 3

    2015

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    Zeitschriftenartikel

    Roland Zink, Luis Ramirez Camargo, Wolfgang Dorner

    Modell zur regionalen Optimierung der Stromversorgung aus Photovoltaik

    Bavarian Journal of Applied Sciences, vol. 1, no. 1, pp. 14-26

    2015

    DOI: 10.25929/ykqj-5g62

    Abstract anzeigen

    Motiviert durch die Transformation des Energiesektors in Richtung dezentraler erneuerbarer Energien präsentiert dieser Beitrag eine innovative Methodik zur qualitativen Verbesserung der Vorhersage von Stromerträgen aus der Photovoltaik, um darauf aufbauend optimale regionale Versorgungsstrukturen modellieren zu können. Die Wetterabhängigkeit der Photovoltaik und die damit einhergehende hohe Variabilität der Erzeugung bereiten gerade bei regionalen Versorgungskonzepten Probleme, die Versorgungssicherheit gewährleisten zu können. Die Lösung wird häufig in der Verwendung von elektrischen Speichern und anderen intelligenten Erzeugern und Verbrauchern gesehen. Das hier vorgestellte Modell zur regionalen Optimierung der Stromversorgung aus Photovoltaik verbessert zum einen die Prognose der Stromerzeugung aus Photovoltaik hinsichtlich sowohl eines räumlichen als auch zeitlichen Aspektes. Zum anderen zeigt das „Spatial Energy Management Model“ einen Weg auf, wie sich der Stromnachfrage angepasste Ausbaustrategien der Photovoltaik ermitteln lassen. Anhand der Ortschaft Löwendorf im Landkreis Cham wird das Modell exemplarisch angewendet und verschiedene Szenarien für ein regionales Energiemanagement entwickelt. Die Ergebnisse zeigen im Vergleich zur gängigen Praxis des Photovoltaikausbaus, vornehmlich orientiert an der Maximierung individueller wirtschaftlicher Rentabilität, deutliche Verbesserungspotenziale. So kann für die Ortschaft Löwendorf durch die Anwendung des Modells bei gleichbleibender technologischer Durchdringungsrate sowohl die Höhe der installierten Photovoltaikleistung (kWp) als auch die notwendige Speicherkapazität (Wh) verringert werden. Die anhand des Modells erzielten Ergebnisse dienen der weiteren wissenschaftlichen Ausarbeitung von intelligenten Versorgungssystemen wie virtuellen Kraftwerken oder Smart Grids. Gleichzeitig liefert das Modell anwendungsorientiert wichtige Erkenntnisse für Energieversorger, für Kommunen oder die Infrastrukturplanung, um eine nachhaltige dezentrale Energieversorgung erfolgreich umzusetzen. Motivated by the transformation of the energy sector towards decentralized renewable energies, this paper presents an innovative methodology for improving the quality of the prediction of energy yield from photovoltaics in order to model optimal regional supply structures. The weather dependency of photovoltaics and the concomitant high variability of generation cause problems for supply concepts at a regional scale with regard to ensuring security of supply. The solution is often seen in the use of electrical storage and other smart producers and/or consumers. The model for regional optimization of power from photovoltaics which is presented here first of all improves the forecast of electricity from photovoltaics in terms of a spatial and also a temporal aspect. Secondly, the „Spatial Energy Management Model“ shows a methodology on how to identify expansion strategies of photovoltaics which are adapted to the energy demand. A case study of the village of Löwendorf, located in the district of Cham, exemplifies the application of the model and develops different scenarios for a spatial energy management on a regional scale. The results indicate significant potential for improvement compared to the standard practice of the photovoltaic development, which is mainly oriented to the maximization of individual economic profitability. Thus, the amount of installed photovoltaic power (kWp), as well as the necessary storage capacity (Wh) can be reduced for Löwendorf by applying the model with constant technological penetration. On the one hand, the results achieved with the model serve to further scientific development of intelligent supply systems such as virtual power plants or smart grids. On the other hand, the model provides important application-oriented insights for utilities, municipalities or infrastructure planning in order to successfully implement a sustainable decentralized energy supply.

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    Vortrag

    Luis Ramirez Camargo

    Spatiotemporal modeling for assessing complementarity of renewable energy sources in distributed energy systems

    ISPRS International Workshop on Spatiotemporal Computing, Fairfax, VA, USA

    2015

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    Vortrag

    Luis Ramirez Camargo

    Spatio-temporal Modeling for Renewable Distributed Energy Generation Planning at the Municipal Scale

    SMARTGREENS 2015 (4th International Conference on Smart Cities and Green ICT Systems), Lissabon, Portugal

    2015

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    Vortrag

    Luis Ramirez Camargo

    Spatial Energy Manager: GIS-gestütztes kommunales Energiemanagementsystem zur Planung regionaler virtueller Kraftwerke

    2. Tag der Forschung, Deggendorf

    2015

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    Vortrag

    Luis Ramirez Camargo

    Photogrammetric point clouds for GIS-based high-resolution estimation of solar radiation for roof-top solar systems

    GIS Ostrava 2015 Surface models for geosciences, Ostrava, Tschechische Republik

    2015

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    Beitrag (Sammelband oder Tagungsband)

    Luis Ramirez Camargo

    Spatio-temporal Modeling for Renewable Distributed Energy Generation Planning at the Municipal Scale

    Proceedings of SMARTGREENS 2015 (4th International Conference on Smart Cities and Green ICT Systems) [May 20 - 22, 2015; Lisbon, Portugal]

    2015

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    Zeitschriftenartikel

    Luis Ramirez Camargo, Roland Zink, Wolfgang Dorner

    Spatiotemporal modeling for assessing complementarity of renewable energy sources in distributed energy systems

    ISPRS Annals of Photogrammetry, Remote Sensing and Spatial Information Sciences, no. II-4/W2, pp. 147-154

    2015

    DOI: 10.5194/isprsannals-II-4-W2-147-2015

    Abstract anzeigen

    Spatial assessments of the potential of renewable energy sources (RES) have become a valuable information basis for policy and decision-making. These studies, however, do not explicitly consider the variability in time of RES such as solar energy or wind. Until now, the focus is usually given to economic profitability based on yearly balances, which do not allow a comprehensive examination of RES-technologies complementarity. Incrementing temporal resolution of energy output estimation will permit to plan the aggregation of a diverse pool of RES plants i.e., to conceive a system as a virtual power plant (VPP). This paper presents a spatiotemporal analysis methodology to estimate RES potential of municipalities. The methodology relies on a combination of open source geographic information systems (GIS) processing tools and the in-memory array processing environment of Python and NumPy. Beyond the typical identification of suitable locations to build power plants, it is possible to define which of them are the best for a balanced local energy supply. A case study of a municipality, using spatial data with one square meter resolution and one hour temporal resolution, shows strong complementarity of photovoltaic and wind power. Furthermore, it is shown that a detailed deployment strategy of potential suitable locations for RES, calculated with modest computational requirements, can support municipalities to develop VPPs and improve security of supply.

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    Beitrag (Sammelband oder Tagungsband)

    Roland Zink, Luis Ramirez Camargo, Patrick Reidelstürz, Wolfgang Dorner

    Photogrammetric point clouds for GIS-based high-resolution estimation of solar radiation for roof-top solar systems

    Surface Models for Geosciences, [S.l.]

    2015

    ISBN: 9783319184067

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    Beitrag (Sammelband oder Tagungsband)

    Roland Zink, Luis Ramirez Camargo, Patrick Reidelstürz, Wolfgang Dorner

    UAS-basierte Dachflächenerfassung als Berechnungsgrundlage für eine räumlich und zeitlich hochaufgelöste Photovoltaikprognose

    Angewandte Geoinformatik 2015, Berlin

    2015

    ISBN: 978-3-87907-557-7

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    Zeitschriftenartikel

    Luis Ramirez Camargo, Roland Zink, Wolfgang Dorner

    FOSS4G-based energy management system for planning virtual power plants at the municipal scale

    Geomatics Workbooks, no. 12, pp. 159-164

    2015

    Abstract anzeigen

    The exploitation of renewable energy sources (RES) implies a transformation of the current energy supply infrastructure towards a spatially decentralized structure. This process has a significant impact on the use of space because energy is no longer generated far away from the demand, but it can be provided directly on-site. Hence, geographic information systems (GIS) have become a well established tool for the determination of sites for RES plants for heat and electricity generation. However, planning energy supply systems with a high share of RES, such as virtual power plants (VPPs), requires to consider also the temporal variation of the generation profiles of RES and the local energy demand. This paper presents the work in progress on a FOSS4G-based tool for the spatio-temporal modeling of municipality wide VPPs. The detailed simulation of potential RES-based supply alternatives and energy demand allows to identify suitable locations and to define the optimal size and technical characteristics of the individual RES energy generation plants in a VPP. This information can serve to assess technical renewable energy potentials at the municipal scale and to design a RES deployment roadmap customized to better fulfil the local energy demand.

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    Beitrag (Sammelband oder Tagungsband)

    Roland Zink, Luis Ramirez Camargo, Patrick Reidelstürz

    Dachflächenrekonstruktion zur räumlichen und zeitlichen Verbesserung von Photovoltaikprognosen

    Leitfaden 3D-GIS und Energie, München

    2015