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Suche nach „[Ramirez Camargo] [Luis]“ hat 53 Publikationen gefunden
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    Zeitschriftenartikel

    Luis Ramirez Camargo, Wolfgang Dorner, Roland Zink

    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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    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, Wolfgang Dorner, Roland Zink

    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)

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

    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)

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

    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, Wolfgang Dorner, Roland Zink

    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)

    Luis Ramirez Camargo, Patrick Reidelstürz, Roland Zink

    Dachflächenrekonstruktion zur räumlichen und zeitlichen Verbesserung von Photovoltaikprognosen

    Leitfaden 3D-GIS und Energie, München

    2015

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    Zeitschriftenartikel

    Luis Ramirez Camargo, Wolfgang Dorner, G. Stoeglehner, Roland Zink

    Spatio-temporal modeling of roof-top photovoltaic panels for improved technical potential assessment and electricity peak load offsetting at a municipal scale

    Computers, Environment and Urban Systems, vol. 52, no. July, pp. 58-69

    2015

    DOI: 10.1016/j.compenvurbsys.2015.03.002

    Abstract anzeigen

    Integrated spatial and energy planning has become a major field of interest to meet the current renewable energy share expansion and CO2 emissions reduction targets. Geographic Information Systems (GIS) play a considerable role in supporting decision making in this field. Solar potential maps are a popular strategy to promote renewable energy generation through photovoltaic (PV) panel installations at city and municipal scales. They indicate the areas of roofs that would provide the maximum amount of energy in kW h per year. These are often used to suggest “optimal locations” for PV-panels and/or recommend system sizes to achieve a certain level of yearly autarchy. This approach is acceptable if PVs have only a minor share in the local energy supply system. However, increased PV-penetration can lead to instability of the local grid, create hazards for the security of the supply, and considerably escalate the storage and system back-up requirements. To obtain a proper understanding of the consequences for the local energy balance when selecting or rejecting a certain installation, examining the hourly and intra-hourly time series of the potential energy generation from PVs is necessary. This paper introduces a GIS-based procedure to estimate the potential PV-electricity generation time series for every roof-top section within a study area using open source software. This procedure is complemented by a series of strategies to select suitable PV-installations considering the time series analysis of supply and demand. Furthermore, thirteen technical indicators are considered to evaluate the PV-installation sets selected with every strategy. The capabilities of the procedure are tested using data from a German rural municipality. The proposed procedure constitutes an efficient and accessible way to assess solar potentials at the municipal scale and to design roof-top PV exploitation plans, which are more appropriate to fulfill the local energy requirements.

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    Beitrag (Sammelband oder Tagungsband)

    Luis Ramirez Camargo, Raphaela Pagany, Anna Marquardt

    Zeitlich und räumlich hochaufgelöste Modellierung der potentiellen solaren Einstrahlung - ein Methodenvergleich

    Angewandte Geoinformatik 2014, Berlin

    2014

    ISBN: 978-3879075430

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    Beitrag (Sammelband oder Tagungsband)

    Luis Ramirez Camargo, Roland Zink

    Photovoltaik in virtuellen Kraftwerken zur Versorgung regionaler Elektromobilitätskonzepte

    Angewandte Geoinformatik 2014, Berlin

    2014

    ISBN: 978-3879075430

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    Vortrag

    Javier Valdés, Luis Ramirez Camargo, Jane Wuth, Wolfgang Dorner

    Energy Modelling in Rural Areas with Spatial and Temporal Data in Germany and Czech Republic

    6th International Conference on Geographical Information Systems Theory, Applications and Management (GISTAM), Heraklion, Kreta, Greece

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    Vortrag

    Luis Ramirez Camargo, Jane Wuth, M. Roithner

    Using spatiotemporal data to evaluate renewable electricity self-sufficiency of municipalities and states in Bavaria and the Czech Republic

    European Geosciences Union (EGU) General Assembly 2019, Wien, Österreich

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    Vortrag

    Luis Ramirez Camargo, Jane Wuth, Wolfgang Dorner

    A spatially explicit assessment of middle and low voltage grid requirements in Bavaria until 2050

    Sympozium GIS Ostrava 2019, Ostrava, Tschechische Republik

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    Vortrag

    Luis Ramirez Camargo, K. Gruber, F. Nitsch

    Assessment of complementarity between wind power and photovoltaic installations to supply residential electric demand in Germany and the Czech Republic

    International Symposium on Regional Reanalysis (ISRR) 2018, Bonn

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    Vortrag

    Luis Ramirez Camargo, Wolfgang Dorner, K. Gruber, F. Nitsch

    Does the mix make the magic? Spatiotemporal modelling to assess residential electricity self-sufficiency based on photovoltaics, wind power and batteries

    AGIT Symposium & Expo 2018 - Angewandte Geoinformatik, Salzburg, Österreich

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    Vortrag

    Luis Ramirez Camargo, Wolfgang Dorner, K. Gruber, F. Nitsch

    Mapping minimum technical requirements for electricity self-sufficiency of single-family houses using regional reanalysis data and satellite imagery derived data

    European Geosciences Union (EGU) General Assembly 2018, Wien, Österreich

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    Vortrag

    Luis Ramirez Camargo, Wolfgang Dorner, K. Gruber, F. Nitsch

    Assessing variables of regional reanalysis data sets relevant for modelling small-scale renewable energy systems

    European Geosciences Union (EGU) General Assembly 2018, Wien, Österreich

    Abstract anzeigen

    Data that allow the characterization of short-term and inter-annual variability of renewable energy resources availability are becoming highly valuable for energy system modellers. Global reanalysis data provide long time series of records without gaps and full spatial coverage at no cost for the final user. However, these exhibit coarse spatial resolution. The COSMO-REA6 and COSMOS-REA2 regional reanalysis for Europe overcome this limitation by increasing the resolution of the reanalysis to six and two kilometres respectively. This work presents an assessment of solar radiation and wind speed variables of these data sets that were available to the public in January 2018. This assessment is performed using data of the Bavarian agro-meteorological network and the Czech Hydrometeorological Institute. Eight accuracy indicators for hourly data in the period 1995–2015 are calculated. Widely used indicators such as the Pearson's correlation coefficient in some cases reach values above 0.82 for wind speeds and above 0.92 for global horizontal irradiance. The mean bias error is consistently better than ± 9.3 W/m2 for the full set of irradiance data, ±25.1 W/m2 for only day-time irradiance data and is, with a few exceptions, lower than ± 1 m/s for the wind speed data.

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    Vortrag

    Luis Ramirez Camargo, Wolfgang Dorner

    Country wide evaluation of electricity self-sufficiency of single family houses in Germany and Czech Republic

    Posterpräsentation

    International Renewable Energy Conference (IRES) 2018, Düsseldorf

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    Luis Ramirez Camargo, F. Nitsch

    Maps of Germany and the Czech Republic with photovoltaic and battery system sizes for electricity self-sufficient single-family houses under 18 technical and weather dependent scenarios

    DOI: 10.17632/txvbyxbp9t.1

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    Vortrag

    Luis Ramirez Camargo

    Energiezonenplanung Plus (EZP+): Open-source Tool für die Planung von Fernwärmenetzen anhand von hochaufgelösten räumlich-zeitlichen Daten

    29. AGIT-Symposium und EXPO Angewandte Geoinformatik, Salzburg, Österreich