A high-resolution determination of the technical potential for residential-roof-mounted photovoltaic systems in Germany

Mainzer, Kai; Fath, Karoline; McKenna, Russell; Stengel, Julian; Fïchtner, Wolf; Schultmann, Frank

doi:10.1016/j.solener.2014.04.015

Cited by 125 publications

(96 citation statements)

References 16 publications

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“…For ground-mounted solar PV modules, a similar approach is chosen, with the addition of favouring or penalising specific sites based on the land use concurrence to agricultural usage. Rooftop PV potentials are modelled following [9] based on a statistical top-down approach on NUTS 3 level. The modelling of the generation profiles is based on a bottom-up modelling from physical models for wind onshore and offshore as well as for ground-mounted and rooftop PV.…”

Section: Data Handlingmentioning

confidence: 99%

“…(8) and (9). The dismantling restrictions (10) and (11) ensure that capacities are decommissioned if the difference between the period in which the capacity was expanded and the current period ( ′ , ) exceeds their technical lifetime , unless they where decommissioned in previous periods.…”

Section: Modelling and Implementationmentioning

confidence: 99%

“…While the vast majority of RES-E is connected on the distribution grid level, the additional stress on the transmission grid level also needs to be considered when investigating national or pan-national allocation problems. Approaches which deal with largescale real-world applications of intermittent RES-E allocation require GIS-based data [8] and are today restricted to single energy sources such as solar [9], wind [10] or limited spatial scales when covering multiple RES types [11]. Overall, a number of real-world sized approaches are available that address the first requirement [12][13][14].…”

Section: Introductionmentioning

confidence: 99%

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Highly resolved optimal renewable allocation planning in power systems under consideration of dynamic grid topology

Slednev

Bertsch

Ruppert

et al. 2018

Computers & Operations Research

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The system integration of an increasing amount of electricity generation from decentralised renewable energy sources (RES-E) is a major challenge for the transition of the European power system. The feed-in profiles and the potential of RES-E vary along the geographical and temporal dimension and are also subject to technological choices and changes. To support power system planning in the context of RES-E expansion and allocation planning required for meeting RES-E targets, analyses are needed assessing where and which RES-E capacities are likely to be expanded. This requires models that are able to consider the power grid capacity and topology including their changes over time. We therefore developed a model that meets these requirements and considers the assignment of RES-E potentials to grid nodes as variable. This is a major advancement in comparison to existing approaches based on a fixed and pre-defined assignment of RES-E potentials to a node. While our model is generic and includes data for all of Europe, we demonstrate the model in the context of a case study in the Republic of Ireland. We find wind onshore to be the dominating RES-E technology from a cost-efficient perspective. Since spatial wind onshore potentials are highest in the West and North of the country, this leads to a high capacity concentration in these areas. Should policy makers wish to diversify the RES-E portfolio, we find that a diversification mainly based on bioenergy and wind offshore is achievable at a moderate cost increase. Including solar photovoltaics into the portfolio, particularly rooftop installations, however, leads to a significant cost increase but also to a more scattered capacity installation over the country.-2 -

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Section: Data Handlingmentioning

confidence: 99%

Section: Modelling and Implementationmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Highly resolved optimal renewable allocation planning in power systems under consideration of dynamic grid topology

Slednev

Bertsch

Ruppert

et al. 2018

Computers & Operations Research

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“…Methodology employed and data sources used: Statistical methods (Lehmann and Peter, 2003), statistical methods enhanced by a geographic information system (GIS) (Rylatt et al, 2001;Mainzer et al, 2014), photogrammetric methods (Karteris et al, 2013;Bergamasco and Asinari, 2011;Jo and Otanicar, 2011), methods based on data captured by Light Detection And Ranging methods (LiDAR) Jakubiec and Reinhart, 2013) and only recently methods using 3D city models (Strzalka et al, 2012;Jakubiec and Reinhart, 2013;Redweik et al, 2013;Catita et al, 2014). Simulation programmes used for solar irradiation: 7 Open-source: Radiance (Jakubiec and Reinhart, 2013;Compagnon, 2004) or r.sun implemented in GRASS GIS (Hofierka and Kanuk, 2009;Nguyen and Pearce, 2010); Commercial: ESRI's ArcGIS Solar Analyst (Choi et al, 2011), EnergyPlus (Hachem et al, 2011), SketchUp (Karteris et al, 2013).…”

Section: Definition Of ''Potential'' and Literature Review For Photovmentioning

confidence: 99%

A method for predicting the economic potential of (building-integrated) photovoltaics in urban areas based on hourly Radiance simulations

et al. 2015

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“…La estimación del potencial fotovoltaico está ampliamente relacionada con la morfología y configuración del entorno urbano (Byrne et al, 2014). La cartografía digital y los servicios catastrales son fuente de datos habituales para establecer la distribución de los edificios (Hofierka y Kaňuk, 2009;Mainzer et al, 2014), que con el complemento de las imágenes aéreas, facilitan la identificación de las diferentes tipologías de los tejados (Bergamasco y Asinari, 2011).…”

Section: Estado De La Cuestiónunclassified

Desarrollo De Un Modelo Geográfico Para La Evaluación Del Potencial Fotovoltaico en Entornos Urbanos

2016

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RESUMENEste trabajo describe un modelo geográfico que evalúa la posibilidad de generar energía eléctrica en entornos urbanos, delimitando aquellas zonas de los tejados adecuadas para la instalación de sistemas fotovoltaicos. El estudio, realizado para el municipio de Miraflores de la Sierra (Madrid), se ha desarrollado basándose en un modelo urbano tridimensional generado con una nube de puntos LIDAR que aporta una adecuada descripción del entorno urbano. El modelo no sólo realiza cálculos globales para una zona, sino que también proporciona, como resultado final, datos del potencial fotovoltaico de los edificios, por lo que ha sido necesario incluir en el modelo, herramientas desarrolladas en el lenguaje de programación Python. También, utilizando la enorme versatilidad de los Sistemas de Información Geográfica e internet, se ha implementado un visor geográfico que permite la consulta, de forma abierta, de los principales resultados obtenidos.Palabras clave: LIDAR, SIG, radiación solar, energía solar, generación distribuida, autoconsumo fotovoltaico. DEVELOPMENT OF A GEOGRAPHIC MODEL FOR ESTIMATING THE PHOTOVOLTAIC POTENTIAL IN URBAN ENVIRONMENTSABSTRACT This paper describes a geographical model that evaluates the possibility of generating electricity in urban environments, defining those areas of rooftops suitable for the installation of photovoltaic systems buildings. The study, made for the municipality of Miraflores de la Sierra

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A high-resolution determination of the technical potential for residential-roof-mounted photovoltaic systems in Germany

Cited by 125 publications

References 16 publications

Highly resolved optimal renewable allocation planning in power systems under consideration of dynamic grid topology

Highly resolved optimal renewable allocation planning in power systems under consideration of dynamic grid topology

A method for predicting the economic potential of (building-integrated) photovoltaics in urban areas based on hourly Radiance simulations

Desarrollo De Un Modelo Geográfico Para La Evaluación Del Potencial Fotovoltaico en Entornos Urbanos

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