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Suche nach „[Ramirez Camargo] [Luis]“ hat 66 Publikationen gefunden
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    Zeitschriftenartikel

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

    Gestión de la Demanda en la Industria de Chile: Aprendiendo del Caso Alemán (Demand Side Management on the Chile Industry: Learning From the German Case )

    Ingeniería, vol. 24, no. 3

    DOI: 10.14483/23448393.14709

    Abstract anzeigen

    Context: Both pioneer countries and those that have recently begun an energy transition towards renewable energy require high levels of flexibility in their electrical systems. This article reviews the Demand Side Management (DSM) application as a tool to provide flexibility, and then, to achieve renewable energy penetration objectives. Method: A systematic mini-review of the literature has been done to review the origin and evolution of the concept of DSM in German and Chilean industry, at the same time, to make a parallel and comparison between them. Results: Both countries have difficulties in taking advantage of the demand management potential in the industry, the lack of promoting policies and the lack of specific regulatory frameworks are some of the causes. Conclusions: It is necessary to speed up attention to the management of demand, it is important that the academy contributes with estimates of potential, it also needs public policies that encourage the use of this tool.

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    Beitrag (Sammelband oder Tagungsband)

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

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

    Proceedings of the 5th International Conference on Geographical Information Systems Theory, Applications and Management (GISTAM2019) [May 3-5, 2019; Heraklion, Crete, Greece], vol. Vol. 1

    Abstract anzeigen

    One of the major challenges for the energy transition is to reconcile variable renewable energy production with stochastically changing energy demand including the pursued changes in e.g. transport like electro mobility. This requires smart systems that should be designed to minimize balancing and transmission costs. The design and modelling of such systems requires high resolution energy generation and demand data, which usually either do not exist or is not available. Methodologies to address this lack of data populate scientific literature but its replicability is limited by an inadequate level of detail in the description of the methodologies and to a larger extent by the absence or low quality of basic data. This manuscript summarizes severalyears of research in energy modelling using Geographical Information Systems as well as spatial and temporal data of the rural areas in Bavaria (Germany) and the Czech Republic. Data requirements for energy demand and energy supply including different types of users and technologies are addressed. Irreconcilable data gaps are presented, examples to fill data gaps as well as recommendations for future necessary developments are provided

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    Beitrag (Sammelband oder Tagungsband)

    M. Roithner, Jane Wuth, Luis Ramirez Camargo

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

    Geophysical Research Abstracts, vol. 21

    Abstract anzeigen

    Photovoltaics and wind power are the fastest growing and best established renewable energy technologies of today. Both are usually presented as the preferred option for energy systems to reach high shares of renewables but their integration is not an easy task due to their varying availability and its grid's feed-in. This work presents the likelihood of municipalities in Bavaria (Germany) and federal states in the Czech Republic to reach high penetration of photovoltaics and wind power until 2050 by taking into account demographic changes and alternative regulatory developments. To accomplish this, spatial development potential of wind power for three different sizes of turbines (10m, 50m and 137m) and free-standing photovoltaics are calculated for the whole study area using a mix of official and open data. Time series of electricity generation are constructed for every single potential area using physical models of the technologies. These models rely on solar radiation, temperature and wind speed time series from the COSMO-REA6 regional reanalysis as input data. Moreover, current total electricity demand per type of sector (residential, agricultural and industrial) is distributed in space using population and land use data from the LUISA territorial modelling platform of the European Commission. The population and land use forecast of the latter data set is utilized to estimate electricity demand per administrative unit for 2030 and 2050. The yearly values of electricity demand for each administrative unit are transformed into hourly electricity demand time series using German and Czech standard load profiles. Finally, an optimization model is employed to estimate if the local renewable potential per administrative unit together with storage systems are sufficient to cover the local demand under current and future conditions. Results are presented using maps covering the whole study area. These do not only show that massive storage systems would be required in order to supply electricity only based on photovoltaics and wind power, but also that the feasibility of achieving this could be considerably different between geographic and climatic areas with similar conditions.

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    Beitrag (Sammelband oder Tagungsband)

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

    Potential of the paper industry as system flexibility provider for an electrical system with high renewable energy share in Chile

    Geophysical Research Abstracts, vol. 21

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    Zeitschriftenartikel

    J. Schmidt, K. Gruber, M. Klingler, C. Klöckl, Luis Ramirez Camargo, P. Regner, O. Turkovska, S. Wehrle, E. Wetterlund

    A new perspective on global renewable energy systems: why trade in energy carriers matters

    Energy & Environmental Science, vol. 12, no. 7, pp. 2022-2029

    DOI: 10.1039/C9EE00223E

    Abstract anzeigen

    Recent global modelling studies suggest a decline of long-distance trade in energy carriers in future global renewable energy systems, compared to today's fossil fuel based system. In contrast, we identify four drivers that facilitate trade of renewable energy carriers. These drivers may lead to trade volumes remaining at current levels or even to an increase during the transition to an energy system with very high shares of renewables. First, new land-efficient technologies for renewable fuel production become increasingly available and technically allow for long-distance trade in renewables. Second, regional differences in social acceptance and land availability for energy infrastructure support the development of renewable fuel import and export streams. Third, the economics of renewable energy systems, i.e. the different production conditions globally and the high costs of fully renewable regional electricity systems, will create opportunities for spatial arbitrage. Fourth, a reduction of stranded investments in the fossil fuel sector is possible by switching from fossil fuels to renewable fuel trade. The impact of these drivers on trade in renewable energy carriers is currently under-investigated by the global energy systems research community. The importance of the topic, in particular as trade can redistribute profits and losses of decarbonization and may hence support finding new partners in climate change mitigation negotiations, warrants further research efforts in this area therefore.

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    Zeitschriftenartikel

    Javier Valdés, A. Poque González, Luis Ramirez Camargo, M. Valin Fenández, Y. Masip Macia, Wolfgang Dorner

    Industry, flexibility, and demand response: Applying German energy transition lessons in Chile

    Energy Research & Social Science, vol. 54, no. August, pp. 12-25

    DOI: 10.1016/j.erss.2019.03.003

    Abstract anzeigen

    Demand side management (DSM) contributes, among its other purposes, to provide stability and flexibility to energy systems that include a high proportion of variable renewable energy in pioneer countries and those which recently began their energy transition. Among DSM policies, implementation of measures and mechanisms for a demand response (DR) is not a trivial matter. This study presents a review and comparative analysis of the major energy policy developments in Germany and Chile. Based on i) the relevance of the industry sector in both countries, ii) the difficulty in implementing the regulatory framework and iii) the importance given to the industrial customers in the German legislation and DR literature, the following analysis will focus on both medium and large industrial customers. The goals are to review the challenges in untying the full DR potential of the productive industry and to provide recommendations for the promotion of DR in Chile. Emphasis is placed on the lessons learned in fitting the wide potential of DR in the German electricity markets. A review of the successes and failures of the German experience reveals the potential risk that poor policy implementation can have in both the short and long term.

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    Zeitschriftenartikel

    Luis Ramirez Camargo, Javier Valdés, Y. Masip Macia, Wolfgang Dorner

    Assessment of on-site steady electricity generation from hybrid renewable energy systems in Chile

    Applied Energy, vol. 250, no. 15 September 2019, pp. 1548-1558

    DOI: 10.1016/j.apenergy.2019.05.005

    Abstract anzeigen

    Chile has an immense renewable energy potential but its integration into the energy system constitutes a major challenge. The country has a complex topography that is expressed by a divided national grid with almost isolated subsystems and wide differences in the availability of renewable energy resources. The present study aims at evaluating the potentials of combining solar power, wind power and storage systems to provide steady loads already from the generation source. The analysis relies on an optimization model to size hybrid renewable energy systems and 10 years of weather data from the brand new ERA5 global reanalysis. Multiple scenarios are calculated and intercompared for all possible locations across the country. These scenarios include system sizing considering hourly weather data for the period 2008–2017 and for one year without major weather extreme events. In both analyses, the results are calculated for systems that generate 1 MWh of electricity at every time step and systems that have certain intraday flexibility. Results show that the necessary generation and storage capacities to provide a steady energy output are very high even for areas with exceptionally high renewable energy potential (in the Atacama desert the system configuration requirements could reach 10 MWp of photovoltaics and 10 MWh of storage). Intraday flexibility has direct effects on these results by reducing the total size of the systems but the effects on the sizes of the installations of the particular technologies depend on the individual geographical location.

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    Beitrag (Sammelband oder Tagungsband)

    Wolfgang Dorner, Luis Ramirez Camargo, Peter Hofmann

    Can Geoinformation Help to Better Protect Informal Settlements? - A Concept For the City of Medellín

    Gi4DM 2019 – GeoInformation for Disaster Management, vol. XLII-3/W8

    DOI: 10.5194/isprs-archives-XLII-3-W8-115-2019

    Abstract anzeigen

    New contributions to disaster research need to address the increasing vulnerability of informal settlements in a changing climate situation. Informal settlements are frequently built in hazardous areas and are often left out of traditional disaster risk management concepts. Hence, formal and informal societal structures, as well as technical systems to warn against, handle or mitigate natural hazards, need to evolve. Within the project Inform@Risk we are addressing these issues based on a case study in Medellín (Colombia). Here, as a result of civil conflicts informal dwellings were partly constructed by people displaced from rural areas. They are mainly located in the urban peripheral areas along steep and unstable slopes, where the resettlement of all inhabitants at risk of landslides is unfeasible. This contribution presents the technical infrastructure and the concept to incorporate geodata from different sources in an integrated landslide early warning system for some selected informal settlements of Medellin. Special attention is given to possibilities on how building societal institutions, supported by information systems, increases local resilience. Using geoformation as a basis, we will combine classical participatory planning methods with digitally assisted concepts. These include combining satellite and UAS based remote sensing data with terrestrial sensor networks, crowd sourcing and citizen science to collect volunteered geographic information about the settlement and its environmental parameters, as well as distribute this information and disseminate warnings to the local population.

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    Beitrag (Sammelband oder Tagungsband)

    Jane Wuth, Luis Ramirez Camargo

    Assessing Middle and Low Voltage Grid Requirements in Bavaria for the Decades to Come

    Shaping a Sustainable Energy Future: 9th Colloquium of the Munich School of Engineering (August 1, 2019)

    Abstract anzeigen

    Increased urbanization and rural depopulation processes are going to produce a high impact on the future electric grid. The impact of these developments on the shape and characteristics of the electricity transmission and distribution systems is however today not discussed as much as the transition to renewable energies. Current research dedicated to electrical grids focuses on the integration of renewables and the related necessary measures to increase stability and reliability. Topics such as the changes in the shape and length of grid as well as redundant infrastructure issues due to demographic changes are barely studied in previous literature. The present work is a pioneer attempt to address these issues using a spatially explicit approach for the state of Bavaria in Germany. The main consequence emerging from depopulation is not only the increase on size and number of very low populated regions but also growing city-sizes, which up to now already have difficulties of being supplied with sufficient energy. Especially the difference in needs for the electricity grid length per person is going to be even more pronounced than already today. The resulting costs per person to provide everyone with a reliable electricity supply will diverge similarly between urbanized and rural regions. The medium and low voltage grids should be capable of delivering sufficient electricity to users and simultaneously allow the integration of distributed renewable generation installations. While data for analysing the transmission systems (high voltage grids) are widely available, spatial and attribute data of the medium and mainly the low voltage grids are scarce. The first step for the analysis of urbanization and rural depopulation effects on the future Bavarian low and medium voltage grid therefore is the estimation of todays’ electric grid. The present study proposes a method that relies on a) a data set that estimates the topology of the medium and low voltage grids of Bavaria (Germany) based on a minimum spanning tree principle, and b) data from the LUISA territorial modelling platform of the European Commission to calculate grid requirements for the years 2030 and 2050. Two alternative paths are proposed to carry out grid requirement estimations. The first is based on population data and the second on land use data. Grid length typologies are created based on population thresholds or land use types for 2010. The same typologies are afterwards used to extrapolate grid requirements for the future, which follow the population and land use changes of the LUISA data set. The future estimations are therefore in conformity with the forecasts utilized by the European Commission. As a reference base map for comparing grid estimations based on population or land use clusters, the length of the grid calculated based on a) is cumulated for each square kilometer so that the resolution and extend match the LUISA data for Bavaria (the map on the left is the reference map for the medium voltage grid). Results show that when estimating the current electricity grid based on land use clustering, it is not possible to get close to the beforehand calculated reference map. Using population density clusters on the other hand, makes it feasible to estimate the current electric grid based on mean or median grid lengths per cluster category. When comparing statistics as well as the resulting maps, the best method to produce a grid map based on clusters, is when using the median grid length per population cluster category (e.g. map on the right for the medium voltage grid). When using the mean of each category, the results seem not to be as precise. In the particular case of Bavaria, the forecast shows that total grid length requirements will decrease until 2030 and 2050. In rather urbanized regions, the grid needs to be prepared for expansions, while in rural regions existent grid infrastructure will become unnecessary. Hot-spots of such changes can be located using the results of the presented methodology.

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    Vortrag

    Luis Ramirez Camargo

    Assessing Middle and Low Voltage Grid Requirements in Bavaria for the Decades to Come

    9th Energy Colloquium of the Munich School of Engineering, Shaping a Sustainable Energy Future, Garching Hochbrück

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    Vortrag

    Luis Ramirez Camargo

    Electricity demand forecast for Bavaria and the Czech Republic until 2050: can variable renewables cope with it?

    11th International Conference on Applied Energy (ICAE2019), Västerås, Sweden

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    Zeitschriftenartikel

    Luis Ramirez Camargo, Jane Wuth, M. Biberacher, Wolfgang Dorner

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

    Geoscape, vol. 13, no. 2, pp. 88-97

    DOI: 10.2478/geosc-2019-0008

    Abstract anzeigen

    The energy transition towards high shares of renewables and the continued urbanization process have a direct and strong impact on the shape and characteristics of the electricity transmission and distribution systems. At the continental and national scale, improved high voltage grids should allow the transmission and balance of electricity from hot-spots of variable renewable energy generation installations to demand centres. At the regional and municipal scale, the medium and low voltage grids should be capable of bringing sufficient electricity to users and allow the integration of distributed renewable generation installations. While data on the transmission systems is widely available, spatial and attribute data of the medium and mainly the low voltage grids are scarce. Additionally, while there are plenty of studies on the requirements of the grid to allow the energy transition, there is very little information on the necessary transformation of the grid due to changes generated by the expected urbanization process. This study relies on a data set that estimates the topology of the medium and low voltage grids of Bavaria (Germany) as well as data from the LUISA territorial modelling platform of the European Commission to calculate key figures of grid requirements depending on population and land use for the current case and the decades to come. Typologies of grid requirements are proposed based on a statistical analysis of population and land use data of each square kilometre of the federal state. These typologies are extrapolated to changes in the structure of settlements that are expected in the years 2030 and 2050. Results are presented using maps with expected absolute values of grid requirements and their temporal changes for each square kilometre of the project area. Grid requirements are expected to increase in cities and to be reduced in most of the rural areas. The largest changes are expected to take place in the suburbs of the major cities.

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    Zeitschriftenartikel

    Luis Ramirez Camargo, F. Nitsch, K. Gruber, Javier Valdés, Jane Wuth, Wolfgang Dorner

    Potential Analysis of Hybrid Renewable Energy Systems for Self-Sufficient Residential Use in Germany and the Czech Republic

    Energies, vol. 12, no. 21

    DOI: 10.3390/en12214185

    Abstract anzeigen

    Independence from the power grid can be pursued by achieving total self-sufficient electricity supply. Such an energy supply model might be particularly interesting for settlements located in rural areas where enough space is available for energy generation installations. This article evaluates how and at what cost electricity demand of residential users across Germany and the Czech Republic could be covered by hybrid renewable energy generation systems consisting of photovoltaics, micro-generation wind turbines and batteries. High-resolution reanalysis data are used to calculate necessary system sizes over a large area by simultaneously accounting for the temporal variability of renewable energy. For every potential location in the research area, the hybrid system requirements for clusters of 50 self-sufficient single-family houses are calculated. The results indicate no general trend regarding the size of the respective technologies, although larger areas where PV-wind power complementarity enables lowering the total system costs and required storage capacities were determined. Assuming that the cluster of households could be constituted and depending on the location, the total installation and operation costs for the proposed systems for a lifetime of 20 years range between EUR 1.8 Million and EUR 5 Million without considering costs of financing. Regions with the lowest costs were identified mainly in the south of Germany.

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    Vortrag

    Jane Wuth, Javier Valdés, Luis Ramirez Camargo, 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

    M. Roithner, Jane Wuth, Luis Ramirez Camargo

    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

    Jane Wuth, Luis Ramirez Camargo, 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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    Zeitschriftenartikel

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

    Cogeneración en Chile: Capacidades, desarrollo y perspectivas

    [Status: In Press]

    Avances en Energías Renovables y Medio Ambiente (AVERMA)

    Abstract anzeigen

    RESUMEN: En Chile, el proyecto de cogeneración más antiguo data de 1930 y operó hasta el año 1997. Sin embargo, pese a que la tecnología lleva introducida largo tiempo, pocos son los estudios que han analizado el potencial de CHP y su evolución. Un primer paso para el estudio del potencial del país es la creación de un catastro que incluya la capacidad instalada. El interés de este ejercicio radica en el potencial de integración de mayores cantidades de CHP en el sistema eléctrico con el objetivo de hacer frente a la intermitencia de fuentes de energía no convencionales. Además, las plantas CHP pueden ayudar a alcanzar los objetivos de eficiencia energética gracias a la posibilidad de los generadores de volcar a la red tanto la electricidad como calor no consumido en los procesos productivos. Sin embargo, para que esto ocurra es necesario el desarrollo de un marco regulatorio acorde a las capacidades y características de las plantas de CHP. El objetivo de este artículo es precisamente identificar las características de las instalaciones en industrias específicas, así como su evolución, con el objetivo de extrapolar los datos al resto de la economía y obtener un potencial de CHP para el país. Para ello, se han hecho consultas de catastros anteriores, así como entrevistas con empresas para conocer el estado actual del parque de plantas de CHP en el país. Palabras clave: cogeneración, eficiencia energética, flexibilidad del sistema eléctrico 1.

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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

    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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    Beitrag (Sammelband oder Tagungsband)

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

    Cogeneración en Chile: Capacidades, desarrollo y perspectivas

    Memorias de la XLI Reunión de Trabajo de la ASADES (Nov 5-10, 2018; Cordoba, Argentina)

    ISBN: 978-987-29873-1-2

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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

    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.