Large-Scale Residential Energy Maps: Estimation, Validation and Visualization Project SUNSHINE - Smart Urban Services for Higher Energy Efficiency

Staso, Umberto Di; Giovannini, Luca; Berti, Marco; Prandi, Federico; Cipriano, Piergiorgio; Amicis, Raffaele De

doi:10.1007/978-3-319-25936-9_3

Cited by 6 publications

(6 citation statements)

References 6 publications

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“…Beyond the UK, energy maps have also been developed internationally to assist utilities program administrators in the USA (Crowley and GL, 2014), energy policy makers in Greece (Balta, 2014) and citizens, public administrators and government agencies to perform city wide analyses on energy performance of the building stock in Italy (Di Staso et al, 2014). Kolter and Ferreira Jr (2011) describe a methodology for the creation of energy consumption mapping in Cambridge, USA for energy companies or retrofit providers to target homes for potential retrofits.…”

Section: Urban Modelling For Large-scale Energy Retrofitmentioning

confidence: 99%

Targeting and modelling urban energy retrofits using a city-scale energy mapping approach

Gupta

Gregg

2018

Journal of Cleaner Production

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Section: Urban Modelling For Large-scale Energy Retrofitmentioning

confidence: 99%

Targeting and modelling urban energy retrofits using a city-scale energy mapping approach

Gupta

Gregg

2018

Journal of Cleaner Production

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“…The challenge to improve energy efficiency at the urban and building level, represents the main focus of the Smart UrbaN ServIces for Higher eNergy Efficiency (SUNSHINE) project. In this frame, the SUNSHINE platform delivers a smart service tool which provides three different applications: (1) the visualization of urban-scale "Energy Maps" to be used for planning activities and large-scale energy pre-certification purposes; (2) the optimization of energy consumption of heating/cooling systems and (3) an interoperable control of public illumination systems [19]. This tool presents advances in parallel fields that involve building energy performance assessment using 3D city models.…”

Section: Related Workmentioning

confidence: 99%

E-City Web Platform: A Tool for Energy Efficiency at Urban Level

et al. 2018

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Cities, as main energy consumers, play a crucial role in achieving a more sustainable energy future. This means that there is an urgent need to transform the way of planning urban areas, focusing on more efficient and self-reliant energy production and consumption modes overall. In this framework, the aim of this study is to explore the Net-Zero energy balance between two spatial scales: the whole city with its diversified energy consumption patterns, and those urban blocks, neighborhoods, or industrial areas that can produce energy and supply it to other areas. This approach leads to the development of an energy zoning for the city, based on the geographical urban delimitation of solar energy exporters cells and the energy consuming ones. On the production side, cells are delimited according to their solar energy production potential. On the demand side, cells are delimited according to four specific criteria: construction timeline, population density, urban morphologies, and land-use patterns that permit the definition of a classification of urban areas, based on the different energy consumption levels. In this paper, the web platform "E-City", a tool for planning energy balance at urban level is presented, by describing its practical application in the city of Oeiras, Portugal. The platform integrates itself with the existing municipal Geographic Information System, exploring both spatial and statistical dimensions associated with zoning and the overall energy network system. Results from the use of this tool are relevant for urban planning practices, formulation of policies, and management of public investment that can be guided to more energy efficient solutions and supporting the transition towards nearly zero-energy cities. collaborative model between the customers and the distribution company. In this project, energy efficiency is promoted by increasing the use of renewable energy sources associated with the development of smart grids able to manage and store energy and optimize electric-vehicle charging [6].Different from the previous, the "Amsterdam Smart City" recognizes the need of a systematic framework of actions within the domains of energy transition and open connectivity [7]. This approach has led to the developing of 52 ongoing projects that promote the balance between sustainable energy supply and demand in neighborhoods by including the expected raise of electrical cars, integrating cooling and city heat system and investing in energy-efficient housing renovations [8].Within the Smart City planning process of Rotterdam, local authorities. The common understanding through these projects is that Information and Communications Technologies (ICT) coupled with digital visualization platforms can be used to improve cities, with special attention to their transition towards a low carbon future [9,10].Enhancing energy efficiency, increasing the share of renewable energy sources, and integrating smart grids and electric vehicles into cities are complex tasks with evident implications for urban developm...

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“…The extension of traditional database management systems in order to handle huge amount of spatial data has seen increasing amounts of research work in recent years (Gál et al, 2009;Lewis et al, 2012;Agugiaro, 2014;di Staso et al, 2015).…”

Section: D Geometry Enrichment and Managementmentioning

confidence: 99%

Geospatial Data Processing for 3d City Model Generation, Management and Visualization

Toschi

Nocerino

Remondino

et al. 2017

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

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KEY WORDS: aerial imagery, 3D building models, 3D city model, mesh, 3D geo-database, web-GIS, smart city ABSTRACT:Recent developments of 3D technologies and tools have increased availability and relevance of 3D data (from 3D points to complete city models) in the geospatial and geo-information domains. Nevertheless, the potential of 3D data is still underexploited and mainly confined to visualization purposes. Therefore, the major challenge today is to create automatic procedures that make best use of available technologies and data for the benefits and needs of public administrations (PA) and national mapping agencies (NMA) involved in "smart city" applications. The paper aims to demonstrate a step forward in this process by presenting the results of the SENECA project (Smart and SustaiNablE City from Above -http://seneca.fbk.eu). State-of-the-art processing solutions are investigated in order to (i) efficiently exploit the photogrammetric workflow (aerial triangulation and dense image matching), (ii) derive topologically and geometrically accurate 3D geo-objects (i.e. building models) at various levels of detail and (iii) link geometries with non-spatial information within a 3D geo-database management system accessible via web-based client. The developed methodology is tested on two case studies, i.e. the cities of Trento (Italy) and Graz (Austria). Both spatial (i.e. nadir and oblique imagery) and non-spatial (i.e. cadastral information and building energy consumptions) data are collected and used as input for the project workflow, starting from 3D geometry capture and modelling in urban scenarios to geometry enrichment and management within a dedicated webGIS platform.

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Large-Scale Residential Energy Maps: Estimation, Validation and Visualization Project SUNSHINE - Smart Urban Services for Higher Energy Efficiency

Cited by 6 publications

References 6 publications

Targeting and modelling urban energy retrofits using a city-scale energy mapping approach

Targeting and modelling urban energy retrofits using a city-scale energy mapping approach

E-City Web Platform: A Tool for Energy Efficiency at Urban Level

Geospatial Data Processing for 3d City Model Generation, Management and Visualization

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