Solar Cadaster of Geneva: A Decision Support System for Sustainable Energy Management
Cities play an increasingly important role with regards to energy transition. Main goal is to reach international and national (Swiss) targets related to energy efficiency and CO2 emission reduction. As a contribution to these global challenges, during the last 6 years the State of Geneva has been producing a detailed solar cadaster. In order to facilitate periodical updates of this solar cadaster, the iCeBOUND project was launched. Around 10 public and private stakeholders, all linked within the Geneva Territorial Information System (SITG), collaborated on the project. Its aim was to design and develop a cloud-based Decision Support System (DSS) that leverages 3D digital urban data with high computing performance, hence facilitating environmental analyses in large built areas, like solar energy potential assessment. As result of the project, an official geoportal and a newfangled public web interface were made widely available early 2017, so as to strengthen decision making with regards to solar installation investment.
KeywordsEnergy management Solar cadaster Urban digital models Cloud computing Official geoportal Public web interface
Authors are definitely indebted to several Geneva institutions that truly contributed to iCeBOUND project: L. Niggeler and G. Cornette (Geneva topographic agency), P. Oehrli and A. Vieira de Mello (Geneva geomatic agency), C. Anthoine-Bourgeois, J. Shulepov and J. R. Fahrni (Geneva facility agency, SIG).
- Boulmier A, Abdennadher N, Desthieux G, Carneiro C (2016a) Cloud based decision support system for urban numeric data. Final report. http://lsds.hesge.ch/wp-content/uploads/2016/09/iCeBOUND_Final_Report.pdf
- Boulmier A, White J, Abdennadher N (2016b) Toward a cloud based decision support system for solar map generation. In: IEEE 2016—8th international conference on cloud computing technology and science, pp 230–236Google Scholar
- Carneiro C, Morello E, Desthieux G (2009) Assessment of solar irradiance on the urban fabric for the production of renewable energy using lidar data and image processing techniques. In: Sester M, Bernard L, Paelke V (eds) AGILE 2009—12th conference, hannover. Advances in GIS. Springer, Heidelberg, pp 83–112Google Scholar
- Desthieux G, Carneiro C, Morello E (2011) Cadastre solaire du Canton de Genève. Rapport final. Study done for the Geneva CantonGoogle Scholar
- Desthieux G, Gallinelli P, Camponovo R (2014) Cadastre solaire du Canton de Genève,—Phase 2; Analyse du potentiel de production électrique par les panneaux solaires thermiques et photovoltaïques. Rapport final, Study done for the Geneva CantonGoogle Scholar
- European Commission (2014) Communication from the commission to the European parliament, the Council, the European economic and social committee and the committee of the regions, A policy framework for climate and energy in the period from 2020 to 2030 [COM(2014) 15]Google Scholar
- Ineichen P (2012) Projet potentiel solaire: validation des modèles. Report. https://archive-ouverte.unige.ch/unige:23641