Christoph F. Reinhart 
- (2022): A method for using street view imagery to auto-extract window-to-wall ratios and its relevance for urban-level daylighting and energy simulations. In: Building and Environment, v. 207 (January 2022).
- (2017): Simulation-based analysis of the use of PCM-wallboards to reduce cooling energy demand and peak-loads in low-rise residential heavyweight buildings in Kuwait. In: Building Simulation, v. 10, n. 4 (March 2017).
- (2019): Effects of real-time simulation feedback on design for visual comfort. In: Journal of Building Performance Simulation, v. 12, n. 3 (March 2019).
- (2018): A methodology for auto-calibrating urban building energy models using surrogate modeling techniques. In: Journal of Building Performance Simulation, v. 12, n. 1 (July 2018).
- (2015): Analysis of a simplified calibration procedure for 18 design-phase building energy models. In: Journal of Building Performance Simulation, v. 9, n. 1 (February 2015).
- (2012): Learning by playing – teaching energy simulation as a game. In: Journal of Building Performance Simulation, v. 5, n. 6 (November 2012).
- (2000): The simulation of annual daylight illuminance distributions — a state-of-the-art comparison of six RADIANCE-based methods. In: Energy and Buildings, v. 32, n. 2 (July 2000).
- (2001): Validation of dynamic RADIANCE-based daylight simulations for a test office with external blinds. In: Energy and Buildings, v. 33, n. 7 (September 2001).
- (2006): Development and validation of a Radiance model for a translucent panel. In: Energy and Buildings, v. 38, n. 7 (July 2006).
- (2017): Validation of a Bayesian-based method for defining residential archetypes in urban building energy models. In: Energy and Buildings, v. 134 (January 2017).
- (2018): A comparison of two modeling approaches for establishing and implementing energy use reduction targets for a university campus. In: Energy and Buildings, v. 173 (August 2018).
- (2020): Evaluating assumptions of scales for subjective assessment of thermal environments – Do laypersons perceive them the way, we researchers believe?. In: Energy and Buildings, v. 211 (March 2020).
- (2019): Evaluating the effectiveness of outdoor evaporative cooling in a hot, arid climate. In: Building and Environment, v. 150 (March 2019).
- (2017): Biometeorological indices explain outside dwelling patterns based on Wi-Fi data in support of sustainable urban planning. In: Building and Environment, v. 126 (December 2017).
- (2017): Experimental validation of ray tracing as a means of image-based visual discomfort prediction. In: Building and Environment, v. 113 (February 2017).
- (2016): Urban building energy modeling – A review of a nascent field. In: Building and Environment, v. 97 (February 2016).
- (2012): Non-technical barriers to energy model sharing and reuse. In: Building and Environment, v. 54 (August 2012).
- (2012): The daylit area – Correlating architectural student assessments with current and emerging daylight availability metrics. In: Building and Environment, v. 50 (April 2012).
- (2011): The daylighting dashboard – A simulation-based design analysis for daylit spaces. In: Building and Environment, v. 46, n. 2 (February 2011).
- (2017): Simulation-based daylighting analysis procedure for developing urban zoning rules. In: Building Research & Information, v. 45, n. 5 ( 2017).
- (2013): Assessing future climate change and energy price scenarios: institutional building investment. In: Building Research & Information, v. 41, n. 2 ( 2013).
- (2008): Current daylighting design practice: a survey. In: Building Research & Information, v. 36, n. 2 ( 2008).
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