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Building simulation and energy modeling are necessary to predict and evaluate the energy performance of buildings as well as the indoor environmental quality and comfort -especially under the ongoing climate change and requirements for carbon-neutral, net-zero energy buildings. Ranging from single-domain, single-space modeling to whole building analysis, building simulation spans the entire range of building performance. Robust modeling tools and applications are particularly important for building professionals, researchers, modelers, engineers, architects and designers. Measurement-aided building simulation, data-driven models, stochastic models and flexible integration of smart predictive controls into simulation modules has opened new possibilities in reliable prediction and assessment of building performance.
Related projects
Daylight simulation
Coupled transient thermal and daylighting analysis of buildings
Optimizing the impact of envelope options on building energy use and IEQ
Probabilistic occupant preference models and integration into building simulation and predictive controls
Prediction of spatial and temporal comfort metrics (Collaborators: Prof. Gasparella, Prof. Cappelletti)
Impact of solar gain control, thermal mass and thermostat set point on the energy performance of perimeter zones
Real-Time Monitoring of Internal and Solar Heat Gains using Deep Learning
Tools with GUIs developed:
Integrated energy and daylighting analysis tool for buildings with dynamic shading
Interactive web tool to evaluate exterior sun control products (Kawneer Inc)
Shading design advisor tool considering energy, daylight, glare and outside view (Lutron Electronics Inc)
Visual environment assessment tool for spaces with window shades
Related publications
D. Mah, A. Tzempelikos, "Real-Time Monitoring of Internal and Solar Heat Gains using HDRI and Deep Learning", Energy and Buildings, 324, 114864 (2024).
H. Zhang, X. Liu, S. Lee, A. Tzempelikos, F. Cappelletti, A. Gasparella, “The impact of personal preference-based thermal control on energy use and thermal comfort: field implementation", Energy and Buildings, 284, 112848 (2023).
A. Tzempelikos, S. Lee, "Cool roofs in the US: the impact of roof reflectivity, insulation and attachment method on annual energy cost", Energies, 14(22), 7656, (2021).
S. Lee, J. Joe, P. Karava, I. Bilionis, A. Tzempelikos, “Implementation of a self-tuned HVAC controller to satisfy occupant thermal preferences and optimize energy use”, Energy and Buildings, 194, 301-316 (2019).
J. Xiong, A. Tzempelikos, I. Bilionis, P. Karava, "A personalized daylighting control approach to dynamically optimize visual satisfaction and lighting energy use", Energy and Buildings, 193, 111-126 (2019).
J. Kim, A. Tzempelikos, J.E. Braun, "Energy savings potential of passive chilled beams vs air systems in various US climatic zones with different system configurations", Energy and Buildings, 186, 244-260 (2019).
I. Konstantzos, M. Kim, A. Tzempelikos, "An integrated method and web tool to assess visual environment in spaces with roller shades", Science and Technology for the Built Environment, 24(5), 545-558 (2018).
A.M. Atzeri, F. Cappelletti, A. Tzempelikos, A. Gasparella, “Comfort and energy performance analysis of different glazing systems coupled with three shading control strategies”, Science and Technology for the Built Environment, 24(5), 470-482 (2018).
H. Shen, A. Tzempelikos, "Daylight-linked synchronized shading operation using simplified model-based control", Energy and Buildings, 145, 200-212 (2017).
A.M. Atzeri, F. Cappelletti, A. Tzempelikos, A. Gasparella, “Comfort metrics for integrated evaluation of buildings performance”, Energy and Buildings, 127, 411-424 (2016).
A. Tzempelikos, Y-C. Chan, “Estimating detailed optical properties of window shades from basic available data and modeling implications on daylighting and visual comfort”, Energy and Buildings, 126, 396-407 (2016).
P. Karava, A. Tzempelikos, "Predictive controls, modeling and technology assessment for high performance buildings", Editorial, Science and Technology for the Built Environment, 21(6), 719-720 (2015).
I. Konstantzos, A. Tzempelikos, Y-C. Chan, “Experimental and simulation analysis of daylight glare probability in offices with dynamic window shades”, Building and Environment, 87, 244-254 (2015).
Y-C. Chan, A. Tzempelikos, I. Konstantzos, "A systematic method for selecting shading properties for glare protection", Energy and Buildings, 92, 81-94 (2015).
J. Kim, A. Tzempelikos, J.E. Braun, "Review of modeling approaches for passive ceiling cooling systems", Journal of Building Performance Simulation, 8(3), 145-172 (2015).
H. Shen, A. Tzempelikos, A.M. Atzeri, A. Gasparella, F. Cappelletti, “Dynamic commercial facades versus traditional construction: energy performance and comparative analysis”, ASCE Journal of Energy Engineering, 141(4), 04014041 (2015).
A. Tzempelikos, H. Shen, “Comparative control strategies for roller shades with respect to daylighting and energy performance”, Building and Environment, 67, 179-192 (2013).
Y-C. Chan, A. Tzempelikos, “Analysis and comparison of absorbed solar gain distribution models in perimeter building zones”, ASHRAE Transactions (Technical Paper DE-13-012), 119 (2), 129-145 (2013).
H. Shen, A. Tzempelikos, “Sensitivity analysis on daylighting and energy performance of perimeter offices with automated shading”, Building and Environment, 59, 303-314 (2012).
Y-C. Chan, A. Tzempelikos, "A hybrid ray-tracing and radiosity method for calculating radiation transport and illuminance distribution in spaces with venetian blinds", Solar Energy, 86(11), 3109-3124 (2012).
H. Shen, A. Tzempelikos, “Daylighting and energy analysis of private offices with automated interior roller shades”, Solar Energy, 86 (2), 681-704 (2012).
A. Tzempelikos, J.E. Braun, E. Groll, “Modeling High Performance Buildings”, Editorial, HVAC&R Research, 17(3), 230-234 (2011).
A. Tzempelikos, M. Bessoudo, A.K. Athienitis, R. Zmeureanu, "Indoor thermal environmental conditions near glazed facades with shading devices - Part II: Thermal comfort simulation and impact of glazing and shading properties", Building and Environment, 45, 2517-2525 (2010).
A. Tzempelikos, A.K. Athienitis, A. Nazos, “Integrated design of perimeter zones with glass facades”, ASHRAE Transactions (Technical paper OR-10-049), 116(1), 461-477 (2010).
A. Tzempelikos, A.K. Athienitis, P. Karava, “Simulation of façade and envelope design options for a new institutional building”, Solar Energy, 81(9), 1088-1103 (2007).
A. Tzempelikos & A.K. Athienitis, “The impact of shading design and control on building cooling & lighting demand”, Solar Energy, 81(3), 369-382 (2007).
A. Tzempelikos and A.K. Athienitis, “Integrated daylighting and thermal analysis of office buildings”, ASHRAE Transactions (Technical paper 4763), 111(1), 227-238 (2005).
A. K. Athienitis and A. Tzempelikos, “A methodology for calculating room illuminance distribution and light dimming for a room with a controlled shading device”, Solar Energy, 72(4), 271-281 (2002).
S. Lu, A. Tzempelikos, “Optimal Window Properties Considering Energy Use and Visual Comfort Under Uncertain Shading Configurations”, Proceedings of ASHRAE Winter Conference, Chicago, January 2024.
D. Mah, H. Cai, K. Kircher, A. Tzempelikos, “Deep Learning-Based Quantification of Heat Gains and Impact on Building Energy Demand”, Proceedings of 8th High Performance Buildings conference at Purdue, July 2024.
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