BEGIN:VCALENDAR VERSION:2.0 PRODID:-//pretalx//talks.staging.osgeo.org//foss4g-it-2023//speaker//8WSEHE BEGIN:VTIMEZONE TZID:GMT BEGIN:STANDARD DTSTART:20001029T030000 RRULE:FREQ=YEARLY;BYDAY=-1SU;BYMONTH=10 TZNAME:GMT TZOFFSETFROM:+0100 TZOFFSETTO:+0000 END:STANDARD BEGIN:DAYLIGHT DTSTART:20000326T020000 RRULE:FREQ=YEARLY;BYDAY=-1SU;BYMONTH=3 TZNAME:BST TZOFFSETFROM:+0000 TZOFFSETTO:+0100 END:DAYLIGHT END:VTIMEZONE BEGIN:VEVENT UID:pretalx-foss4g-it-2023-PWLBRE@talks.staging.osgeo.org DTSTART;TZID=GMT:20230612T150000 DTEND;TZID=GMT:20230612T151500 DESCRIPTION:In cities\, the building sector is the main responsible for ene rgy consumption and carbon dioxide emissions. However\, there is a high po tential for energy saving by renovating the buildings themselves and the d ecision-making process to primarily focus on them in the development of sm art cities. Several policies have been drafted to set a path towards the m itigation of such impacts\, decarbonising the energy supply and reducing t he total energy demand. Nevertheless\, from a smart city-oriented perspect ive\, it is crucial to elaborate tools to support the choices of policymak ers and make citizens aware. Remotely sensed data can be used for assessin g the current state\, thus simulating possible improvements. Existing lite rature shows extensive use of infrared thermography for assessing discrete buildings\, while little has been done on a district or urban scale.\n\nI n this contribution\, we present the potential of Aerial Infrared Thermog raphy and LiDAR point clouds for defining energy uses and the potential ph otovoltaic production. First\, AIT is used for energy classification\, a k ey parameter for estimating the current energy demand. Then\, two alternat ive retrofitting scenarios – proposing an improvement by two classes and an upgrade of the whole building stock to meet the highest standards – are compared in terms of primary energy savings and prevented emissions. O ptions are taken into account also considering the energy supply option\, with the possibility of installing photovoltaic panels to power heating pu mps as an alternative to traditional heating methods\, i.e. district heati ng and natural gas boilers.\n\nIn addition to Infrared thermography\, aeri al LiDAR point clouds are also key data for planning and managing the ener gy resources in cities. The efficiency of solar panels primarily depends o n the incidence angle of the radiation on the panels and\, therefore\, pro per planning is crucial for the installation and setup of solar plants. On e of the possible applications of LiDAR point clouds for the energy sector is to support this phase to maximise efficiency. Thanks to the 3D classif ied LiDAR point clouds\, it is possible to extract the buildings with prec ise restitution of the pitches\, their dimension and orientation\, then ca tegorising them into planar/flat\, slant or dome types in order to estimat e the angle of incidence of sunlight radiations and to better assess the m aximum solar potential. In this way\, an accurate data sheet for each buil ding can be drafted\, reporting precise data on theoretical production and usable surface.\n\nFuture developments are related to the development of three-dimensional energy models\, to be updated regularly\, able to descri be precisely the current situation and simulate alternative scenarios. The state of the art smart city digital twins can be also employed for the pu rpose of urban energy management and to capture and understand the urban e nergy complexities with respect to time. The concept of energy community c an be also introduced at a local level where neighbourhoods generate and s hare the energy generated from renewable sources. DTSTAMP:20260526T130953Z LOCATION:Sala Videoconferenza @ PoliBa SUMMARY:Aerial LiDAR and Infrared Thermography for urban-scale energy asses sment and planning - Sebastiano Anselmo\, Maria Ferrara\, Yogender Yadav URL:https://talks.staging.osgeo.org/foss4g-it-2023/talk/PWLBRE/ END:VEVENT BEGIN:VEVENT UID:pretalx-foss4g-it-2023-ZFZ7DH@talks.staging.osgeo.org DTSTART;TZID=GMT:20230615T170000 DTEND;TZID=GMT:20230615T171500 DESCRIPTION:The new concept of Digital Twins (DT) as a city model is interl inked with the Smart City applications on many levels\, like interactivity between virtual model and real world\, simulations and analysis of presen t and planned city\, emergency planning and management to mention a few. T he strength of DT is related to the incorporation of time as a fourth dime nsion\, considering the time as a variable that modifies the data and the semantic information. The aim of this emerging concept DT is provide a ph ysical infrastructure\, data\, information and procedures for the manageme nt of a complex system\, in order to offer to the public administration a platform for designing\, testing\, simulations and analysis of present and planned city\, and offer through web-sharing high quality urban 3D model as open data to all operators in Open Source (OS) environments. There are several applications to share on the web a 3D model\, but the lack of a de tailed and adequately sized development platform is a bottleneck in this c ontest. The purposes of this work are based on the Torino DT project\, sou rce data for the 3D model had been acquired from images and point clouds d ata sets from 2022. The first step after the acquisition phase have been t he source data processing\, in order to build up a 3D model of the entire city. There have been rapid technological developments in the field of pho togrammetric and LiDAR techniques to produce detailed and accurate 3D mode ls. 3D point clouds from the state of the art LiDAR and photogrammetry pro vides a powerful collection of geometric elements of a scene with their po sition\, orientation and shape in the 3D space. There are numerous compute r vision programs like 3D Zephyr\, VisualSfM\, meshroom\, WebODm etc which offers OS solutions for the 3D reconstruction processing from 2D images. The processing capabilities of these open source solutions are comparable as compared to the commercial ones in terms of geometric features and inf ormation. These open source tools are adequate for the research purposes t o explore the potential of 3D models from photogrammetry and LiDAR. 3D mod el is based on a reality mesh model with a specific and well-known work-fl ow. The next step is share\, part of\, the 3D model in OS environments tha t can be accessed with JavaScript code like Cesium platform. 3D web platfo rms analyzed in this work reflect the ever greater interest in OS software \, interoperability and collaboration standards\, in order to work in the openness ecosystem. This research field open the way to new opportunities\ , for instance DT as Open Data. The free availability of an urban 3D model \, build up from the reality\, could create a new order of opportunity for future model updates or utilizations\, especially for real estate operato rs. Furthermore\, particular attention has been paid to model update with collaborative and crowdsourcing solutions\, with the perspective to develo p a community able to use and update the 3D model. DTSTAMP:20260526T130953Z LOCATION:Sala Videoconferenza @ PoliBa SUMMARY:From real to virtual: sharing a urban 3d model as open data in open source environments - Luigi LA RICCIA\, Vittorio Scolamiero\, Yogender Ya dav URL:https://talks.staging.osgeo.org/foss4g-it-2023/talk/ZFZ7DH/ END:VEVENT END:VCALENDAR