Applications of solar mapping in the urban environment

Santos, Teresa; Gomes, Nuno Miguel Pereira; Freire, Sérgio; Brito, M.C.; Santos, Luís Antônio Coutrim dos; Tenedório, José António

doi:10.1016/j.apgeog.2014.03.008

Cited by 110 publications

(59 citation statements)

References 27 publications

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“…Solar irradiation may also significantly differ between building roofs in the same zone, depending on the orientation of the roof: a more favorable angle of a surface to the Sun means better exposure and more solar energy. Two roof surfaces of the same size at the same location but different orientations (azimuth) and tilts, may drastically differ in their solar potential [28,29]. This solar irradiation value, complemented with the area of the optimal surface obtained in the previous step, allows the computation of the solar irradiation of a surface in kWh/a [6,30].…”

Section: Estimation Of the Solar Irradiationmentioning

confidence: 99%

Large Scale Automatic Analysis and Classification of Roof Surfaces for the Installation of Solar Panels Using a Multi-Sensor Aerial Platform

et al. 2015

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Abstract:A low-cost multi-sensor aerial platform, aerial trike, equipped with visible and thermographic sensors is used for the acquisition of all the data needed for the automatic analysis and classification of roof surfaces regarding their suitability to harbor solar panels. The geometry of a georeferenced 3D point cloud generated from visible images using photogrammetric and computer vision algorithms, and the temperatures measured on thermographic images are decisive to evaluate the areas, tilts, orientations and the existence of obstacles to locate the optimal zones inside each roof surface for the installation of solar panels. This information is complemented with the estimation of the solar irradiation received by each surface. This way, large areas may be efficiently analyzed obtaining as final result the optimal locations for the placement of solar panels as well as the information necessary (location, orientation, tilt, area and solar irradiation) to estimate the productivity of a solar panel from its technical characteristics.

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Section: Estimation Of the Solar Irradiationmentioning

confidence: 99%

Large Scale Automatic Analysis and Classification of Roof Surfaces for the Installation of Solar Panels Using a Multi-Sensor Aerial Platform

et al. 2015

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“…In solar energy surveys the part of roofs where solar collectors or photovoltaic panels could be installed economically could be determined using various geoinformatic methods (e.g. Santos et al 2014; Szabó et al …”

Section: Effects Of the Built Environment On The Installability Of Gementioning

confidence: 99%

Geoinformatic background of geothermal energy utilization and its applications in East Hungary

Buday¹,

Buday-Bódi²,

McIntosh³

et al. 2016

Landsc. environ.

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Powerful geothermal energy utilisation requires geoinformatic tools from potential surveying through the designing and setting of geothermal systems to certain operational tasks. However, practical data processing strongly depends on the elaboration of basic data and information, the type of the geothermal energy harvesting system and the character of the calculation demonstrated by case studies from East Hungary, in addition the usability of the resulted maps are also presented. Besides their usability for investors these maps could be refined in the location of the development before hydraulic/heat transport modelling.

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“…The model, as a spatial analysis module has been integrated into a spatial an ArcGIS, and named the Solar Analyst [46][47][48][49]. A GIS-based solar radiation model ca to other areas including photovoltaic assessments [50,51] which provides a new thermal environmental assessment [52] and plant adaptation planning for urban gr Sustainability 2017, 9,215 Plant communities are composed of the different tree species, shrubs and grou and any plant species with a relatively stable structure within the hierarchy. We ca community.…”

Section: Application Of the Solar Radiation Model In Up-dssmentioning

confidence: 99%

A Decision Support System for Plant Optimization in Urban Areas with Diversified Solar Radiation

Wei

Huang

2017

Sustainability

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Sunshine is an important factor which limits the choice of urban plant species, especially in environments with high-density buildings. In practice, plant selection and configuration is a key step of landscape architecture, which has relied on an experience-based qualitative approach. However, the rationality and efficiency of this need to be improved. To maintain the diversity of plant species and to ensure their ecological adaptability (solar radiation) in the context of sustainable development, we developed the Urban Plants Decision Support System (UP-DSS) for assisting plant selection in urban areas with diversified solar radiation. Our methodology mainly consists of the solar radiation model and calibration, the urban plant database, and information retrieval model. The structure of UP-DSS is also presented at the end of the methodology section, which is based on the platform of Geographic Information Systems (GIS) and Microsoft Excel. An application of UP-DSS is demonstrated in a residential area of Wuhan, China. The results show that UP-DSS can provide a very scientific and stable tool for the adaptive planning of shade-tolerant plants and photoperiod-sensitive plants, meanwhile, it also provides a specific plant species and the appropriate types of plant community for user decision-making according to different sunshine radiation conditions and the designer's preferences.

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Applications of solar mapping in the urban environment

Cited by 110 publications

References 27 publications

Large Scale Automatic Analysis and Classification of Roof Surfaces for the Installation of Solar Panels Using a Multi-Sensor Aerial Platform

Large Scale Automatic Analysis and Classification of Roof Surfaces for the Installation of Solar Panels Using a Multi-Sensor Aerial Platform

Geoinformatic background of geothermal energy utilization and its applications in East Hungary

A Decision Support System for Plant Optimization in Urban Areas with Diversified Solar Radiation

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