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

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

    Hybrid renewable energy systems to supply electricity to self-sufficient residential buildings in Central Europe

    Energy Procedia (Contributions to the 10th International Conference on Applied Energy ICAE 2018), vol. 158

    2019

    DOI: 10.1016/j.egypro.2019.01.096

    Abstract anzeigen

    This work evaluates potentials of photovoltaic and battery systems with additional micro-generation wind turbines (10.5 kW) to cover electricity demand of residential users in two countries in Central Europe. It relies on high-resolution regional reanalysis data and a techno-economical optimization model. Maps showing the number of wind turbines, photovoltaic and battery systems sizes necessary to supply electricity for clusters of electricity self-sufficient single-family houses across Germany and the Czech Republic are generated. No general trends that apply for the two countries concerning the relation between the sizes of the different technologies were identified. However, it was possible to determine several large areas where the inclusion of small wind turbines decreases the total system costs and considerably reduces the required storage capacities. Results are discussed and compared to previous work on self-sufficient single-family houses.

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    Beitrag (Sammelband oder Tagungsband)

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

    Assessing regional reanalysis data sets for planning small-scale renewable energy system

    20th EGU General Assembly, EGU2018, Proceedings from the conference held 4-13 April, 2018 in Vienna, Austria, p.4996

    2018

    Abstract anzeigen

    An accurate resource availability estimation is vital for proper location, sizing and economic viability of renewable energy plants. Large photovoltaic (PV) and wind installations undergo a long and exhaustive planning process that would imply unacceptably high costs for developers of small-scale installations. In a context of abolition of feed-in tariffs, electricity feed-in restricted by grid capacity constraints and storage systems being commercialized at lower costs, the acquisition of high quality solar radiation and wind speed data becomes important also for planners of small scale installations. These data allow the characterization of short-term and inter-annual variability of the resources availability. Global reanalysis data sets provide long time series of these variables with temporal resolutions that can be as high as one hour and at no cost for the final user. However, due to the coarse spatial resolution and relatively low accuracy these products only provide an inferior alternative for data retrieval compared to e.g. satellite derived radiation data sets or advanced interpolation methods for wind speed data. The COSMO-REA6 and COSMOS-REA2 regional reanalysis overcome this limitation by increasing the resolution of the reanalysis to six and two kilometres respectively. The accuracy of these data sets for variables with high relevancy for meteorology, such as rainfall, has been assessed with satisfactory results but an independent evaluation for variables relevant for renewable energy generation has not been performed yet. This work presents an assessment of the variables of these data sets that have been made available to the public until November 2017. This assessment is performed for the area of the federal state of Bavaria in Germany and whole Czech Republic using data of the Bavarian agro-meteorological network and the Czech Hydrometeorological Institute. Accuracy indicators are calculated for horizontal global radiation or cloud coverage (depending on data availability from the weather stations) and wind speeds at 10 meters height. While there are important differences between weather stations and cloud coverage data, the results for wind speeds and global solar irradiance are satisfactory for most of the locations. For certain locations widely used indicators such as the Pearson's correlation coefficient reach values above 0.8 for wind speeds and above 0.9 for global solar irradiance and the mean biased error is consistently lower than 10 W/m2 and can be as low as 0.3 W/m2 for the irradiance data and is, with a few exceptions, lower than 2 m/s in Germany and lower than 1 m/s in the Czech Republic for wind speed data. A total of eight indicators for the hourly data in the period between 1995 and 2015 are calculated, presented, discussed and compared against international literature dealing with data accuracy for solar irradiance and wind speed data sets.

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    Zeitschriftenartikel

    Luis Ramirez Camargo, G. Stoeglehner

    Spatiotemporal modelling for integrated spatial and energy planning

    Energy, Sustainability and Society, vol. 8, no. 1, pp. 1-29

    2018

    DOI: 10.1186/s13705-018-0174-z

    Abstract anzeigen

    The transformation of the energy system to a renewable one is crucial to enable sustainable development for mankind. The integration of high shares of renewable energy sources (RES) in the energy matrix is, however, a major challenge due to the low energy density per area unit and the stochastic temporal patterns in which RES are available. Distributed generation for energy supply becomes necessary to overcome this challenge, but it sets new pressures on the use of space. To optimize the use of space, spatial planning and energy planning have to be integrated, and suitable tools to support this integrated planning process are fundamental. Spatiotemporal modelling of RES is an emerging research field that aims at supporting and improving the planning process of energy systems with high shares of RES. This paper contributes to this field by reviewing latest developments and proposing models and tools for planning distributed energy systems for municipalities. The models provide estimations of the potentials of fluctuating RES technologies and energy demand in high spatiotemporal resolutions, and the planning tools serve to configure energy systems of multiple technologies that are customized for the local energy demand. Case studies that test the spatiotemporal models and their transferability were evaluated to determine the advantages of using these instead of merely spatial models for planning municipality-wide RES-based energy systems. Spatiotemporal models allow a more detailed estimation of RES potentials and serve to find not only optimal locations but also optimal sizes for individual RES plants. While the potential of variable RES based on yearly energy generation values can be considerably larger than the energy demand, only a fraction of it can be deployed without compromising the quality and reliability of the local energy supply system. Furthermore, when spatiotemporal models are used, it can be seen that technological diversity is beneficial for the supply quality. Similarly, the advantages and limits of the deployment of storage systems and of combinations of RES-based technologies to cover the local demand were determined and evaluated. Finally, the results from the analyses provide sufficient information to define road maps of installations deployment to achieve desired RES penetration objectives.

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    Zeitschriftenartikel

    Raphaela Pagany, Luis Ramirez Camargo, Wolfgang Dorner

    A review of spatial localization methodologies for the electric vehicle charging infrastructure

    International Journal of Sustainable Transportation, pp. 1-17

    2018

    DOI: 10.1080/15568318.2018.1481243

    Abstract anzeigen

    With view to the high share of the transport sector in total energy consumption, e-mobility should play an important role within the transition of the energy systems. Policymakers in several countries consider electric vehicles (EV) as an alternative to fossil-fueled vehicles. In order to allow for the development of EV, the charging infrastructure has to be set up at locations with high charging potential, identified by means of various criteria such as demand density or trip length. Many methodologies for locating charging stations (CS) have been developed in the last few years. First, this paper presents a broad overview of publications in the domain of CS localization. A classification scheme is proposed regarding modeling theory and empirical application; further on, models are analyzed, distinguishing between users, route or destination centricity of the approaches and outcomes. In a second step, studies in the field of explicit spatial location planning are reviewed in more detail, that is, in terms of their target criteria and the specialization of underlying analytical processes. One divergence of these approaches lies in the varying level of spatial planning, which could be crucial depending on the planning requirements. It is striking that almost all CS locating concepts are proposed for urban areas. Other constraints, such as the lack of extensive empirical EV traffic data for a better understanding of the driving behavior, are identified. This paper provides an overview of the CS models, a classification approach especially considering the problem’s spatial dimension, and derives perspectives for further research.

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    Vortrag

    Luis Ramirez Camargo, F. Nitsch, K. Gruber

    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

    2018

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    Vortrag

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

    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

    2018

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    Vortrag

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

    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

    2018

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    Vortrag

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

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

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

    2018

    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

    2018

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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

    2018

    DOI: 10.17632/txvbyxbp9t.1

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    Zeitschriftenartikel

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

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

    Geophysical Research Abstracts, vol. 20, no. EGU2018-12577

    2018

    Abstract anzeigen

    Decreasing prices of photovoltaic (PV) and electricity storage systems have popularized the idea of independency from the grid among household's owners. The basic idea is simple: on the one side, PV installations can easily fit in building's roof-tops while producing more energy per year than a household would require; on the other side, the temporal mismatch between energy generated by the PV system and the electricity consumed by the household can be corrected with storage systems. In theory, this basic concept would require the examination of long time series of weather data and an optimization model in order to find a system configuration that actually fulfils the requirements of a household in a particular location. In practice, such detailed studies would be too expensive for small-scale installations and contractors take system sizing decisions based on empirical values or general sizing guidelines. Motivated by the project CrossEnergy, a research project that studies the future of the energy system in rural areas at the border between Germany and Czech Republic, and by the publication of the COSMO-REA high resolution regional reanalysis data sets for Europe in 2017, this study presents a methodology to generate maps indicating minimum battery and PV sizes for self-sufficient single family houses (SFHs). The methodology consist of three parts. First, settlement data extracted from the LUISA Territorial Modelling platform of the European Commission is used together with standard load profiles to generate spatiotemporal data sets of electricity demand for rural and low density urban areas. Second, spatiotemporal data sets of PV potential are generated based on a) a technical PV model, b) instantaneous solar irradiance and temperature data from the COSMO-REA regional reanalysis data, and c) snow cover data from the Land Surface Analysis Satellite Applications Facility. Third, a linear optimization model, relying on the data sets of the two previous parts, serves to define PV and battery systems sizes and to generate the corresponding maps. The resulting maps cover Germany and Czech Republic and are generated for multiple technical and weather dependent scenarios. The results show how complicated it could be to achieve a complete independence from the grid in certain locations and offer a scientifically based source of information for sizing PV-battery systems in the two countries. An outlook how to apply the methodology to the whole CORDEX Euro area and for future work is provided.

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    Beitrag (Sammelband oder Tagungsband)

    A. Poque González, Luis Ramirez Camargo, Javier Valdés, Y. Masip Macia

    Aportes de la Industria productiva a la flexibilidad del sistema eléctrico: Una comparación entre los casos Alemán y Chileno

    Memorias de la 19. Convención científica de ingeniería y arquitectura de la Habana, Cuba

    2018

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    Zeitschriftenartikel

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

    Electricity self-sufficiency of single-family houses in Germany and the Czech Republic

    Applied Energy, vol. 228, no. 15 October 2018, pp. 902-915

    2018

    DOI: 10.1016/j.apenergy.2018.06.118

    Abstract anzeigen

    Motivated by a research project that studies the future of the energy system in rural areas at the border between Germany and the Czech Republic, and by the publication of the COSMO-REA high-resolution regional reanalysis data sets for Europe in 2017, this study presents a methodology for generating maps indicating minimum battery and photovoltaics sizes for self-sufficient single-family houses. The methodology consists of three subsequent parts: First, spatiotemporal data sets of electricity demand for single-family houses in rural and low-density urban areas are generated. Second, spatiotemporal data sets of photovoltaics potential are computed based on (a) a technical photovoltaics model, (b) two decades of hourly solar irradiance and temperature data, and (c) snow cover data from the Land Surface Analysis Satellite Applications Facility. Third, a linear optimization model serves to define photovoltaics and battery systems sizes and to generate the corresponding maps. The resulting maps cover Germany and the Czech Republic and are generated for 18 technical and weather-dependent scenarios. The results show how challenging it could be to achieve complete independence from the grid in certain locations. Especially relevant for the sizing of the systems are long periods (several days in a row) of low photovoltaic energy generation due to overcast sky conditions or snow cover of the panels. Furthermore, the results offer a scientifically based source of information for sizing photovoltaics and battery systems in the two countries.

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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

    2017

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    Vortrag

    Luis Ramirez Camargo

    CrossEnergy: cross-border energy infrastructure – future perspectives for a region in change

    5th UNI-SET Energy Clustering Event; Universities in the Energy Transition: Science & Skills for Renewables Integration, Leuven, Belgien

    2017

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    Vortrag

    Luis Ramirez Camargo

    C3S-Reanalysen: Ertragspotentiale von Erneuerbaren Energien / Solarenergie

    Nationales Forum für Fernerkundung und Copernicus 2017 "Copernicus@work", Berlin

    2017

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    Hochschulschrift

    Luis Ramirez Camargo

    Spatiotemporal modelling for renewable distributed energy generation planning for municipalities

    2017

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    Beitrag (Sammelband oder Tagungsband)

    Luis Ramirez Camargo, Wolfgang Dorner, Paul Rauch, G. Stoeglehner

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

    AGIT 3-2017, Berlin; Offenbach/Main

    2017

    ISBN: 978-3879076338

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    Beitrag (Sammelband oder Tagungsband)

    Luis Ramirez Camargo, Raphaela Pagany, Wolfgang Dorner

    Optimal sizing of active solar energy and storage systems for energy plus houses

    Proceedings of the 11th ISES EuroSun Conference - International Conference on Solar Energy for Buildings and Industry (October 11-14 2016; Palma de Mallorca, Spain), https://doi.org/10.18086/eurosun.2016.01.08

    2016

    DOI: 10.18086/eurosun.2016.01.08

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    Vortrag

    Luis Ramirez Camargo, Raphaela Pagany

    Optimal sizing of active solar energy and storage systems for energy plus houses

    Session on Solar Architecture and Net Zero Energy Buildings

    11th ISES EuroSun Conference - International Conference on Solar Energy for Buildings and Industry, Palma de Mallorca, Spanien

    2016