BEGIN:VCALENDAR VERSION:2.0 PRODID:-//pretalx//talks.staging.osgeo.org//foss4g-it-2023//talk//PWLBRE 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:20260510T152341Z 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 END:VCALENDAR