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UID:pretalx-foss4g-2023-academic-track-LB8BPT@talks.osgeo.org
DTSTART;TZID=CET:20230629T143000
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DESCRIPTION:### Background \n\nCities are home to 72% of the population in 
 Europe and account for 70% of the energy consumption. Being particularly v
 ulnerable to climate change impacts\, urban areas play a key role in carbo
 n mitigation and energy transition. It is\, therefore\, of particular impo
 rtance to increase renewable energy production for urban areas and cities.
  \n\nCities urgently require information about their potential for renewab
 le energy production to target ultra-sustainable policies. Luxembourg has 
 set very ambitious goals with its Plan National Intégré Énergie Clim
 at (PNEC). It describes policies and measures to achieve ambitious nationa
 l targets for reducing greenhouse gas emissions (-55%) as well as pushing 
 renewable energy production (+25%) and energy efficiency (+40-44%) by 2030
 . \n\nPublic authorities often lack the expertise in integrated assessment
  and relevant simulation tools to support scientific evidence-based decisi
 ons about energy strategies\, enhance interaction with stakeholders and ac
 celerate energy transition. The main outputs of this study are related to 
 the demonstration of the role of interoperable geographical digital twins 
 based on Free and Open-Source software and geospatial software technologie
 s in the simulation\, monitoring and management of the current and near fu
 ture renewable-based energy systems. \n\n \n\n### Approach and Concept \n\
 nThe scope of the presented work is to demonstrate the role of a 3D geogra
 phical urban digital twin in the context of a high penetration and optimis
 ed installation of PV and the impact of its power generation on the grid. 
 Free and Open-Source software technologies build the basis of a web platfo
 rm which implements a geographical digital twin based on open data\, open 
 OGC standards to build a fully interoperable Digital Twin. This allows the
  integration of open 3D CityGML data with simulation algorithms of renewab
 le potentials and the energy grid system all into one technical interopera
 ble architecture. \n\nThe objective of this study is to simulate the poten
 tial for building integrated and building attached solar photovoltaic (PV)
  electricity generation in use case cities\, and later to scale up the res
 ults to a nationwide level. The approach taken involves several key steps:
  \n\n1. Estimation of electricity consumption of the building stock at loc
 al level\, in order to understand the demand for electricity and the poten
 tial for PV generation. \n\n2. Simulation of the electricity generation po
 tential of building-integrated and building-attached PV systems\, consider
 ing factors such as rooftop and facade orientation and shading effects. \n
 \n3. Development and analysis of scenarios for different PV technologies\,
  including consideration of techno-economic parameters such as feed-in-tar
 iffs\, lifetime of installation\, efficiency\, and power consumption. \n\n
 4. Selection of optimal locations for PV placement across the city\, based
  on a combination of rooftop and facade suitability\, electricity demand\,
  and electricity grid nodes. \n\n5. Implement all steps into an interopera
 ble web-based decision support platform providing advanced simulation and 
 assessment tools using high resolution open building information. \n\n \n\
 n### Results \n\nGeospatial software technologies and 3D and 4D algorithms
  are building the core of the platform (based on iGuess®) to enable the p
 lanning of PV electricity generation from the local to the national scale.
  Global solar irradiation is simulated for each roof-top and façade at a 
 very high resolution\, taking into account 3D shading effects of the surro
 undings in the urban environment. Scenarios for different PV technologies\
 , feed-in tariffs and cost efficiencies and amounts of PV installations ar
 e computed to show impacts of spatio-temporal differing PV generation. Thi
 s simulates the large increase of PV installations required to accelerate 
 the development of sustainable energy and climate action plans (SECAPs) fo
 r all municipalities in Luxembourg and the entire nation.  \n\nThe develop
 ed platform serves multiple beneficiaries\, e.g.\, Municipalities\, urban 
 planners etc. to support 3D based realistic urban energy planning. Citizen
 s and energy communities can help shape their city and get access to high 
 resolution information. This platform provides a tool for estimating long-
  as well as short- and mid-term PV power generation at high resolution acr
 oss entire neighbourhoods and districts generating time-series data. \n\nF
 urthermore\, we have implemented tools for the identification of cost-effi
 cient PV placement/integration in buildings on roof-tops and facades to te
 st the different scenarios and allow for interactive selection for optimal
  PV placement identification across the study area. \n\n \n\n### Conclusio
 ns \n\nThis paper presents the importance of geographical digital twins pr
 oviding the core platform for the current energy transition from fossil fu
 els to renewables. The advantage of an interoperable geographical urban di
 gital twin\, as proposed here\, provides the flexibility necessary to simu
 late and test scenarios for rapid\, integrated urban planning under climat
 e change. Based on open-source\, open standards and open APIs\, open data\
 , simulation and assessment methods and tools can be seamlessly integrated
  to provide a 3D real world environment to assess and develop energy trans
 ition approaches. Different stakeholders\, such as citizens\, municipaliti
 es and businesses can act and be stimulated to enable a faster transition 
 to renewable energy and harvest the full potential of improved urban plann
 ing based on geographical Digital Twin technologies.
DTSTAMP:20260517T152831Z
LOCATION:UBT E / N209 - Floor 3
SUMMARY:An interoperable Digital Twin to simulate spatio-temporal photovolt
 aic power output and grid congestion at neighbourhood and city levels in L
 uxembourg - Ulrich Leopold
URL:https://talks.osgeo.org/foss4g-2023-academic-track/talk/LB8BPT/
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