BEGIN:VCALENDAR
VERSION:2.0
PRODID:-//pretalx//talks.osgeo.org//foss4g-it-2026//speaker//WKPFHN
BEGIN:VTIMEZONE
TZID:CET
BEGIN:STANDARD
DTSTART:20001029T040000
RRULE:FREQ=YEARLY;BYDAY=-1SU;BYMONTH=10
TZNAME:CET
TZOFFSETFROM:+0200
TZOFFSETTO:+0100
END:STANDARD
BEGIN:DAYLIGHT
DTSTART:20000326T030000
RRULE:FREQ=YEARLY;BYDAY=-1SU;BYMONTH=3
TZNAME:CEST
TZOFFSETFROM:+0100
TZOFFSETTO:+0200
END:DAYLIGHT
END:VTIMEZONE
BEGIN:VEVENT
UID:pretalx-foss4g-it-2026-GX8EXX@talks.osgeo.org
DTSTART;TZID=CET:20260710T145000
DTEND;TZID=CET:20260710T151000
DESCRIPTION:The rapid expansion of solar photovoltaic (PV) deployment acros
 s the European Union (EU) underscores renewables' growing role in decarbon
 ization\, energy security\, and land-efficient urban transitions. In Italy
 \, one of Europe's leading solar markets\, this shift benefits from high s
 olar irradiation (1\,400–1\,800 kWh/kWp annually in northern regions lik
 e Veneto)\, progressive policies (e.g.\, Conto Energia legacy\, updated NE
 CP targets\, and REPowerEU-aligned incentives)\, and abundant rooftop surf
 aces\, particularly in industrial zones. Such areas are particularly strat
 egic: large\, flat\, already-sealed surfaces enable substantial PV deploym
 ent with minimal additional land take\, reduced pressure on agricultural o
 r natural systems\, and proximity to high industrial energy demand. For ex
 ample\, in 2024\, 80% of the land used for photovoltaic installations was 
 previously agricultural land\, thus available rooftops would potentially a
 void or reduce future land take as existing rooftops show a potential of 8
 4-110 GW PV energy production (ISPRA\, 2026). This amount is sufficient to
  cover the increase in overall renewable energy foreseen by the PNIEC by 2
 030 (ISPRA\, 2026). Despite rising interest in distributed rooftop PV\, hi
 gh-resolution data on existing installations and further potential remain 
 fragmented\, aggregated at coarse scales\, not updated frequently\, or ina
 ccessible for local scale planning. This limits accurate potential assessm
 ent\, grid integration planning\, and evidence-based prioritization\, chal
 lenges especially acute in industrial districts where untapped roof stock 
 is significant but site-specific evidence is scarce.\nThis study evaluates
  the technical potential for additional rooftop PV in Padova's industrial 
 zone (ZIP\, Zona Industriale di Padova)\, a major northern Italian logisti
 cs and manufacturing hub of 8 km² comprising approximately 1000 buildin
 gs. The objectives of this research include: (1) characterizing rooftop su
 itability based on geometry\, orientation\, and slope\, adopting the metho
 dology from Ahmadi (et al.\, 2026)\; (2) mapping existing PV installations
  and distinguishing occupied from available roofs\; (3) estimating annual 
 electricity generation under technical constraints\; and (4) quantifying a
 voided CO₂ emissions from displaced grid electricity.\nThe analysis empl
 oys an open-source\, reproducible GIS- and remote sensing-based workflow i
 mplemented in QGIS and utilizing the PVGIS solar yield modeling formula de
 veloped by Joint Research Center- European Commission. Input datasets incl
 ude municipal building footprints\, LiDAR-derived DSM and DTM at 50 cm spa
 tial resolution\, and orthophotos at 20 cm spatial resolution\, made openl
 y available by the Veneto Region and the Municipality of Padova\, and mult
 ispectral satellite imagery from PlanetScope at 3 m resolution\, freely av
 ailable for academic non-commercial purposes. Existing rooftop PV systems 
 are detected via manual photo-interpretation of the orthophoto of the stud
 y area. Results of this step are also used as a ground-truth layer for com
 parison with the resulting semi-automatic satellite classification for ins
 talled PV identification\, thus allowing an assessment of the potential of
  semiautomatic classification for local-scale existing PV analysis.\nResul
 ts reveal substantial untapped potential in the ZIP area. The estimated to
 tal area of flat rooftops is approximately 1.5 km² on about 500 buildin
 gs. Under the assessed technical scenario\, additional rooftop PV could ge
 nerate up to 415 GWh annually\, confirming industrial roofs as a high-valu
 e\, low-impact resource for expanding distributed solar generation without
  new land consumption. The photo-interpretation demonstrates reliable iden
 tification of existing systems\, while the comparison with semi-automatic 
 classification highlights the capability and limitations of the PlanetScop
 e satellite image. The results also indicate substantial CO₂ emission av
 oidance through substitution of fossil-based grid electricity.\nThis resea
 rch provides transferable\, open-source methods for GIS-RS rooftop PV cada
 stres\, supporting local authorities in translating EU/national decarboniz
 ation targets into actionable urban strategies. By prioritizing industrial
  zones\, the framework advances spatially explicit renewable planning and 
 strengthens the evidence base for integrating distributed PV into regional
  and local energy systems.
DTSTAMP:20260614T204545Z
LOCATION:Aula accademica
SUMMARY:Open-Source GIS and Remote Sensing Analysis of Rooftop Photovoltaic
  Potential in Padova's Industrial Zone: Implications for Sustainable Urban
  Energy Planning - Daniele Codato\, Ahmadi Ahmadi
URL:https://talks.osgeo.org/foss4g-it-2026/talk/GX8EXX/
END:VEVENT
END:VCALENDAR