Solar energy potential on roofs and facades in an urban landscape

Redweik, Paula; Catita, Cristina; Brito, M.C.

doi:10.1016/j.solener.2013.08.036

Cited by 306 publications

(161 citation statements)

References 8 publications

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“…Resulting wall elements reveal the same spatial extend as the DSM resolution, i.e. 1 m. For every hour of the year, Redweik et al (2013) calculated a shadow map and a façade shadow map. The algorithm is raster based and follows the solar geometry described in (ASTALM, 2011).…”

Section: State Of the Art For The Calculation Of Soalr Potential On Vmentioning

confidence: 94%

“…In a first approach, Scartezzini et al (2002) used cost intensive ray tracing simulation techniques to identify the spatial distribution of solar radiation and daylight fluxes over building façades and roofs regarding active and passive solar energy. Redweik et al (2013) used a LIDAR derived digital surface model (DSM) to estimate solar potential on roofs and façades in an urban environment. To overcome the problems of a 2.5D tessellation, they created a raster based façade map by identifying vertical building parts by the definition of a threshold of 72 degrees in slope.…”

Section: State Of the Art For The Calculation Of Soalr Potential On Vmentioning

confidence: 99%

“…Nevertheless, Redweik et al (2013) stated that even though annual radiation on vertical walls was lower than that of roof surfaces, façades could contribute to the production of energy, because they but are larger in area. In general, global solar radiation can be divided into three components.…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Estimation of Solar Energy on Vertical 3d Building Walls on City Quarter Scale

Jaugsch

Löwner

2016

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci.

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Commission VI, WG VI/4 KEY WORDS: Urban photovoltaic potential, vertical walls, renewable energy, 3D building model ABSTRACT:In urban areas, solar energy is one promising source of renewable energy to achieve the EU parliament's goal of reducing CO2 emissions by 20 % compared to 1990. Although annual radiation on vertical walls is lower than that on roof surfaces, they are larger in area and, therefore may contribute to energy production. On the other hand, the modelling of shadowing effects is cost intensive in an complex urban environment. Here we present a method for the calculation of solar potential on vertical walls for simple 2D maps with additional building height information. We introduced observer point columns that enable a fast decision whether a whole vertical set of observer points is illuminated or not. By the introduction of a maximum shade length, we reduce processing time in ArcGIS. 206,291 points of 130 buildings have been analysed in time steps of 15 minutes resulting in 15,769 pairs of solar angles. Results disprove the potential of vertical walls serving to fill the winter gap of roof mounted solar energy plants. Best wall orientation for the deployment of solar panels are west and east in summer, whereas it is southeast in winter.

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Section: State Of the Art For The Calculation Of Soalr Potential On Vmentioning

confidence: 94%

Section: State Of the Art For The Calculation Of Soalr Potential On Vmentioning

confidence: 99%

See 1 more Smart Citation

Estimation of Solar Energy on Vertical 3d Building Walls on City Quarter Scale

Jaugsch

Löwner

2016

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci.

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show abstract

“…In the summer, the amount of solar irradiation reaching the façade is lower than that of the roofs, as expected, but due to the large areas concerned, facades can contribute significantly to the solar potential of buildings, depending on climate, building geometry, and orientation. 133 In the winter, on the other hand, façade BIPVs can have higher output than that of PV on the roof due to the lower position of the sun. The emergence of printable PV technologies opens up renewed opportunities for building integration.…”

Section: Building Integrated Photovoltaics (Bipv)mentioning

confidence: 99%

Energy in buildings—Policy, materials and solutions

Koebel

Wernery

Malfait

2017

MRS Energy & Sustainability

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Buildings account for ∼40% of global energy demands, and the increased adoption of innovative solutions for buildings represents an enormous potential to reduce energy demands and greenhouse gas emissions. Here, we critically review the current and future materials and solutions for the construction sector. We describe how policy affects innovative businesses and the adoption of new products and solutions. We investigate how the building envelope and user behavior determine building energy demands. Compared to conventional solutions, superinsulation materials (vacuum insulation panels, silica aerogel) can achieve the same thermal performance with drastically thinner insulation. With low-emissivity coatings and appropriate filler gasses, double and triple glazing reduces thermal losses by an order of magnitude. Vacuum and aerogel glazing reduce these even further. Switchable glazing solutions maximize solar gains during wintertime and minimize illumination demands whilst avoiding overheating in summer. Upon integration of renewable energy systems, buildings become both producers and consumers of energy. Combined with the dynamic user behavior, temporal variations in energy production require thermal and electrical storage and the integration of buildings into smart grids and energy district networks. The combination of these measures can reduce the energy consumption of the building's stock by a factor of three.

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“…In this regard, shadows information within urban environments is a key element required for the analysis of solar radiation across daylight. By using the different datasets, Redweik et al (2013) developed a shadow algorithm to calculate shadow maps for solar potential assessment of all surfaces (roofs and facades) of buildings within an urban landscape. Bergamasco and Asinari (2011) proposed a method to compute the available roof surface for integrated solar (PV) installations through the analysis of shadow zones, space, brightness and suitability for PV installation.…”

Section: The Importance Of Shadow Detection In Urban Environmentsmentioning

confidence: 99%

Shadow Detection From Very High Resoluton Satellite Image Using Grabcut Segmentation and Ratio-Band Algorithms

Kadhim

Mourshed

Bray

2015

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci.

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ABSTRACT:Very-High-Resolution (VHR) satellite imagery is a powerful source of data for detecting and extracting information about urban constructions. Shadow in the VHR satellite imageries provides vital information on urban construction forms, illumination direction, and the spatial distribution of the objects that can help to further understanding of the built environment. However, to extract shadows, the automated detection of shadows from images must be accurate. This paper reviews current automatic approaches that have been used for shadow detection from VHR satellite images and comprises two main parts. In the first part, shadow concepts are presented in terms of shadow appearance in the VHR satellite imageries, current shadow detection methods, and the usefulness of shadow detection in urban environments. In the second part, we adopted two approaches which are considered current state-of-theart shadow detection, and segmentation algorithms using WorldView-3 and Quickbird images. In the first approach, the ratios between the NIR and visible bands were computed on a pixel-by-pixel basis, which allows for disambiguation between shadows and dark objects. To obtain an accurate shadow candidate map, we further refine the shadow map after applying the ratio algorithm on the Quickbird image. The second selected approach is the GrabCut segmentation approach for examining its performance in detecting the shadow regions of urban objects using the true colour image from WorldView-3. Further refinement was applied to attain a segmented shadow map. Although the detection of shadow regions is a very difficult task when they are derived from a VHR satellite image that comprises a visible spectrum range (RGB true colour), the results demonstrate that the detection of shadow regions in the WorldView-3 image is a reasonable separation from other objects by applying the GrabCut algorithm. In addition, the derived shadow map from the Quickbird image indicates significant performance of the ratio algorithm. The differences in the characteristics of the two satellite imageries in terms of spatial and spectral resolution can play an important role in the estimation and detection of the shadow of urban objects.

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Solar energy potential on roofs and facades in an urban landscape

Cited by 306 publications

References 8 publications

Estimation of Solar Energy on Vertical 3d Building Walls on City Quarter Scale

Estimation of Solar Energy on Vertical 3d Building Walls on City Quarter Scale

Energy in buildings—Policy, materials and solutions

Shadow Detection From Very High Resoluton Satellite Image Using Grabcut Segmentation and Ratio-Band Algorithms

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