- Renovated or replaced? Finding the optimal solution for an existing building considering cumulative CO2 emissions, energy consumption and costs – A case study. In: Energy and Buildings, v. 303 (Januar 2024). (2024):
- Operational and embodied emissions associated with urban neighbourhood densification strategies. In: Energy and Buildings, v. 276 (Dezember 2022). (2022):
- Spatiotemporal upscaling errors of building stock clustering for energy demand simulation. In: Energy and Buildings, v. 258 (März 2022). (2022):
- Opportunities for passive cooling to mitigate the impact of climate change in Switzerland. In: Building and Environment, v. 208 (Januar 2022). (2022):
- Geospatial simulation of urban neighbourhood densification potentials. In: Sustainable Cities and Society, v. 72 (September 2021). (2021):
- Projections of design implications on energy performance of future cities: A case study from Vienna. In: Sustainable Cities and Society, v. 12 (Juli 2014). (2014):
- Measurement and simulation of room acoustics parameters in traditional and modern bath buildings. In: Building Simulation, v. 1, n. 3 (August 2008). (2008):
- Variability between domestic buildings: the impact on energy use. In: Journal of Building Performance Simulation, v. 9, n. 2 (April 2015). (2015):
- Performance evaluation of traditional bath buildings via empirically tested simulation models. In: Journal of Building Performance Simulation, v. 4, n. 1 (März 2011). (2011):
- Energy performance of traditional bath buildings. In: Energy and Buildings, v. 43, n. 9 (September 2011). (2011):
- Towards an energy sustainable community: An energy system analysis for a village in Switzerland. In: Energy and Buildings, v. 84 (Dezember 2014). (2014):
- Comparison of solar thermal systems with storage: From building to neighbourhood scale. In: Energy and Buildings, v. 152 (Oktober 2017). (2017):
- A methodology to calculate long-term shallow geothermal energy potential for an urban neighbourhood. In: Energy and Buildings, v. 159 (Januar 2018). (2018):
- CESAR: A bottom-up building stock modelling tool for Switzerland to address sustainable energy transformation strategies. In: Energy and Buildings, v. 169 (Juni 2018). (2018):
- Optimal transformation strategies for buildings, neighbourhoods and districts to reach CO2 emission reduction targets. In: Energy and Buildings, v. 207 (Januar 2020). (2020):
- Ten questions concerning modeling of distributed multi-energy systems. In: Building and Environment, v. 165 (November 2019). (2019):