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Elena Usobiaga
TECNALIA, Basque Research and Technology Alliance (BRTA), Building Technologies Unit Parque Tecnológico de Vizcaya, Geldo Street, Edif.700, 48160 Derio, Spain

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Journal article
Published: 04 January 2021 in Sustainability
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Given the current climate emergency, our planet is suffering. Mitigation measures must be urgently deployed in urban environments, which are responsible for more than 70% of global CO2 emissions. In this sense, a deeper integration between energy and urban planning disciplines is a key factor for effective decarbonisation in urban environments. This is addressed in the Cities4ZERO decarbonisation methodology. This method specifically points out the need for technology-based solutions able to support that integration among both disciplines at a local level, enriching decision-making in urban decarbonisation policy-making, diagnosis, planning, and follow-up tasks, incorporating the spatial dimension to the whole process (GIS-based), as well as the possibilities of the digital era. Accordingly, this paper explores the demands of both integrated urban energy planning and European/Basque energy directives, to set the main requisites and functionalities that Decision Support Systems (DSSs) must fulfil to effectively support city managers and the urban decarbonisation process.

ACS Style

Koldo Urrutia-Azcona; Elena Usobiaga-Ferrer; Pablo De Agustín-Camacho; Patricia Molina-Costa; Mauricia Benedito-Bordonau; Iván Flores-Abascal. ENER-BI: Integrating Energy and Spatial Data for Cities’ Decarbonisation Planning. Sustainability 2021, 13, 383 .

AMA Style

Koldo Urrutia-Azcona, Elena Usobiaga-Ferrer, Pablo De Agustín-Camacho, Patricia Molina-Costa, Mauricia Benedito-Bordonau, Iván Flores-Abascal. ENER-BI: Integrating Energy and Spatial Data for Cities’ Decarbonisation Planning. Sustainability. 2021; 13 (1):383.

Chicago/Turabian Style

Koldo Urrutia-Azcona; Elena Usobiaga-Ferrer; Pablo De Agustín-Camacho; Patricia Molina-Costa; Mauricia Benedito-Bordonau; Iván Flores-Abascal. 2021. "ENER-BI: Integrating Energy and Spatial Data for Cities’ Decarbonisation Planning." Sustainability 13, no. 1: 383.

Technical note
Published: 10 October 2019 in Remote Sensing
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Solar maps are becoming a popular resource and are available via the web to help plan investments for the benefits of renewable energy. These maps are especially useful when the results have high accuracy. LiDAR technology currently offers high-resolution data sources that are very suitable for obtaining an urban 3D geometry with high precision. Three-dimensional visualization also offers a more accurate and intuitive perspective of reality than 2D maps. This paper presents a new method for the calculation and visualization of the solar potential of building roofs on an urban 3D model, based on LiDAR data. The paper describes the proposed methodology to (1) calculate the solar potential, (2) generate an urban 3D model, (3) semantize the urban 3D model with different existing and calculated data, and (4) visualize the urban 3D model in a 3D web environment. The urban 3D model is based on the CityGML standard, which offers the ability to consistently combine geometry and semantics and enable the integration of different levels (building and city) in a continuous model. The paper presents the workflow and results of application to the city of Vitoria-Gasteiz in Spain. This paper also shows the potential use of LiDAR data in different domains that can be connected using different technologies and different scales.

ACS Style

Iñaki Prieto; Jose Luis Izkara; Elena Usobiaga. The Application of LiDAR Data for the Solar Potential Analysis Based on Urban 3D Model. Remote Sensing 2019, 11, 2348 .

AMA Style

Iñaki Prieto, Jose Luis Izkara, Elena Usobiaga. The Application of LiDAR Data for the Solar Potential Analysis Based on Urban 3D Model. Remote Sensing. 2019; 11 (20):2348.

Chicago/Turabian Style

Iñaki Prieto; Jose Luis Izkara; Elena Usobiaga. 2019. "The Application of LiDAR Data for the Solar Potential Analysis Based on Urban 3D Model." Remote Sensing 11, no. 20: 2348.

Conference paper
Published: 27 June 2019 in Seventh International Conference on Remote Sensing and Geoinformation of the Environment (RSCy2019)
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This paper describes the methodology proposed for 1) calculate solar potential; 2) generate an urban 3D model, both based on LIDAR data; 3) semantize the urban 3D model with different data sources and calculations data for finally, 4) visualize the urban 3D model in a 3D web visualization tool. As a first step, digital surface model data of the case study is preprocessed selecting only building and ground points in order to later calculate the solar potential in a GIS tool. A workflow is presented describing the followed steps. In the second step, an urban 3D model is generated (in CityGML format) using cadastral data and LIDAR data, both digital surface and digital terrain model. Then, in the third step, the urban 3D model is semantized with a) buildings data (that comes from cadastral and statistical office), b) geometrical data such as main building orientation, number of adjoining walls, etc. (that comes from a geometric processing tool), c) key performance indicators data (that are calculated based on the urban 3D model data) and d) solar potential data, which have been calculated in the previous step. In the fourth step, all the gathered data is presented and can be filtered/selected in a 3D web visualization tool. This paper shows the potential of the usage of LIDAR data in different domains that can be connected using different technologies and in different scales.

ACS Style

Iñaki Prieto; Jose Luis Izkara; Elena Usobiaga. The application of lidar data for the solar potential analysis based on urban 3D model. Seventh International Conference on Remote Sensing and Geoinformation of the Environment (RSCy2019) 2019, 11174, 1117418 .

AMA Style

Iñaki Prieto, Jose Luis Izkara, Elena Usobiaga. The application of lidar data for the solar potential analysis based on urban 3D model. Seventh International Conference on Remote Sensing and Geoinformation of the Environment (RSCy2019). 2019; 11174 ():1117418.

Chicago/Turabian Style

Iñaki Prieto; Jose Luis Izkara; Elena Usobiaga. 2019. "The application of lidar data for the solar potential analysis based on urban 3D model." Seventh International Conference on Remote Sensing and Geoinformation of the Environment (RSCy2019) 11174, no. : 1117418.