Michael Lipson, PhD
Associate Professor, Political Science
Dr. Radu G. Zmeureanu received his Engineering Diploma from the Faculty of Building Service Systems of the Civil Engineering Institute of Bucharest (Technical University of Construction of Bucharest, after 1990), Romania. He completed the International Post-graduate Programme in Informatics and Mathematics for Research organized by UNESCO at the University of Bucharest. He obtained in 1987 his Ph.D. in Building Studies in the Faculty of Engineering and Computer Science of Concordia University, in Montreal, Quebec, Canada, and joined the university as an Assistant Professor that year. In 1990 he became an Associate Professor, and then in 1999 he was promoted to Professor.
Member of professional societies
- Ordre des Ingénieurs du Québec (OIQ)
- Fellow, Canadian Academy of Engineering (CAE)
- Life Member, American Society of Heating, Refrigerating and Air Conditioning Engineers (ASHRAE).
- Fellow, International Building Performance Simulation Association (IBPSA)
- International Building Performance Simulation Association, Canadian branch, (IBPSA-Canada)
- Réseau Energie et Bâtiment (Québec)
- European Council for an Energy-Efficient Economy (ECEEE)
- Design and analysis of energy-efficient buildings
- Optimization of life cycle performance of buildings and HVAC systems
- Ongoing commissioning of commercial/institutional buildings
- Computer modeling of energy performance of buildings and HVAC systems
- Calibration and validation of building energy analysis programs
- Second law analysis of HVAC systems
- Sustainable development concept applied to buildings
- Net zero energy buildings
- Impact of building design and control strategies on thermal comfort
- ENGR 202: Sustainable Development and Environmental Stewardship
- ENGR 251: Thermodynamics
composed of pure substances and their homogeneous non‑reactive mixtures. Simple power production and utilization cycles.
- BLDG 341: Building Engineering Systems
- ENGR/EMAT 391: Numerical Methods
- BLDG 472: Building Energy Conservation Technologies
Energy audit: evaluation of energy performance of existing buildings, weather normalization methods, measurements, disaggregation of total energy consumption, use of computer models, impact of people behaviour. Energy efficiency measures in buildings: approaches, materials and equipments, operating strategies, evaluation methods of energy savings. Renewable energy sources: passive or active solar systems, geothermal systems, free‑cooling. Optimum selection of energy sources. Impact of emerging technologies.
- BLDG 479: Commissioning of HVAC systems in buildings
Introduction. Scope of commissioning of Heating, Ventilation, Refrigerating and Air-Conditioning systems.
Commissioning, retro-commissioning,recommissioning, continuous commissioning, and ongoing commissioning. Process versus technical commissioning. Instrumentation for the monitoring of HVAC operation and performance. Uncertainty analysis of experimental data. Mathematical models of different classes of virtual sensors. Data mining techniques applied to measurements from HVAC systems. Development of benchmarking models of the normal HVAC operation: correlation-based models, Artificial Neural Networks, and calibrated models. Methods for the automated faults detection and diagnostic (FDD). Forecasting models of the energy demand in buildings. Recommissioning measures for HVAC systems. Methods of estimation of energy and cost savings due to the commissioning of HVAC systems.
- BLDG 490: Capstone Building Engineering Design Project
- BLDG 6701: Building Environment
- BLDG 6781: Energy Management in Buildings
Shamim,Md A., Zmeureanu, R.,Cotrufo, N., Candanedo, J., (2020) Gray-box virtual sensor of the supply airtemperature of air handling units (AHUs). Scienceand Technology for the Built Environment, 26:8, 1151-1162
Bezian, B., Zmeureanu, R., (2020) Machinelearning for benchmarking models of heating energy demand of houses in NorthernCanada. Energies 2020, 13(5), 1158. Special Issue: Energy Efficiency, Savings and Storage in BuildingsCombined with Advanced Energy Systems and Materials
Runge,J., Zmeureanu, R., LeCam, M., (2020) Hybrid short-term forecasting of the electric demand of supplyfans using machine learning. Journal of Building Engineering 29, 101144Runge,J., Zmeureanu, R.,(2019) Forecasting energy use in buildings using artificial neural networks: Areview. Energies 12(17), 3254
Cotrufo,N., Zmeureanu, R.,Athienitis, A., (2019) Virtual measurement of the air properties in AHUs orvirtual re-calibration of sensors. Science and Technology for BuiltEnvironment 25: 21-33.
Cotrufo, N., Zmeureanu, R., (2018) Virtual outdoor air flow meter for an existing HVAC system in heating mode. Automation in Construction 92:166-172.
Battie, C, Fazio, P., Zmeureanu, R., Rao, J., (2018) Experimental study of the air-to-air heat exchangers for use in Arctic housing. Applied Thermal Engineering, 129:1281-1291.
Qi, D., Goubran, S., Wang, L., Zmeureanu, R., (2018) Parametric study of air curtain door performance based on experiments and numerical simulation. Building and Environment, 129: 65-73.
Rey, A., Zmeureanu, R., (2017) Micro-Time Variant Multi-Objective Particle Swarm Optimization (micro-TVMOPSO) of solar thermal combisystems. Swarm and Evolutionary Computation, 36:76-90.
Magnier-Bergeron,L., Zmeureanu, R., Derome, D., (2017) Three-dimensional model of air speed in the secondary zone of displacement ventilation jet. Building and Environment, 114: 483-494.
Le Cam, M., Zmeureanu, R., Daoud, A., (2017) Cascade-based short-term forecasting method of the electric demand of HVAC system. Energy, 119: 1098-1107.
Mihai, A., Zmeureanu, R., (2017) Bottom-up evidence-based calibration of a building energy model. International Journal of Building Performance Simulation, 10(1): 105-123.
Tamasauskas,J., Poirier, M., Zmeureanu, R., Kegel, M., Sunye, R., (2017) Development of an integrated solar heat pump concept using ice slurry as a latent storage material. Procedia Environmental Sciences, 38: 44-51.
Le Cam, M., Daoud,A., Zmeureanu, R., (2016) Forecasting electric demand of supply fan using data mining techniques Energy, 101: 541-557.
Goubran, S., Qi, D., Saleh WF., Wang, L., Zmeureanu, R., (2016) Experimental Study on the Flow Characteristics of Air Curtains at Building Entrances. Building and Environment, 105: 225-235.
Cotrufo, N., Zmeureanu, R., (2016) PCA-base method of soft fault detection and identification for the ongoing commissioning of chillers. Energy and Buildings, 130: 443–452.
Qi, D., Wang, L., Zmeureanu, R., (2016) The Effects of Non-uniform Temperature Distribution on Neutral Plane Level in Non-adiabatic High-rise Shafts during Fires. Fire Technology, DOI: 10.1007/s10694-015-0554-2.
Rey, A., Zmeureanu, R., (2016) Multi-objective optimization of a residential solar thermal combisystem. Solar Energy, 139: 622-632.
McDonald, E., Zmeureanu, R., (2015) Development and Testing of a Virtual Flow Meter Tool to Monitor the Performance of Cooling Plants. Energy Procedia, 78: 1129-1134.
Beaty, C., Fazio, P., Zmeureanu, R., Rao, J., (2015) A preliminary study of the performance of sensible and latent heat exchanger cores at the frosting limit for use in Arctic housing. Energy Procedia, 78: 2596-2601.
Zmeureanu, R., Vandenbroucke, H., (2015) Use of trend data from BEMS for the ongoing commissioning of HVAC systems. Energy Procedia, 78:2415-2420.
Zibin, N., Zmeureanu, R., Love, J.A., (2016) Automatic assisted calibration tool for coupling building automation system trend data with commissioning. Automation in Construction, 61: 124–133.
McDonald, E., Zmeureanu, R., (2015) Virtual Flow Meter for chilled and condenser water for chillers: estimates versus measurements. Science and Technology for the Built Environment, 1-11, DOI:10.1080/23744731.2015.1085279.
Tamasauskas, J., Poirier, M., Zmeureanu, R., Kegel, M., Sunye, R., (2015) Development and Validation of a Solar Assisted Heat Pump Using Ice Slurry as a Latent Storage Material. Science and Technology for the Built Environment, 21(6): 837-846.
Hamelin, M-C., Zmeureanu, R., (2014) Optimum envelope of a single-family house based on life cycle analysis. Buildings, 4:95-112 (doi: 10.3390/buildings4020095).
Tremblay, V., Zmeureanu, R., (2014) Benchmarking models for the ongoing commissioning of heat recovery process in a central heating and cooling plant. Energy, The International Journal, 70:194-203.
McDonald, E., Zmeureanu, R., (2014) Virtual Flow Meter to Estimate the Water Flow Rates in Chillers. ASHRAE Transactions, 120(2): 200-208.
Dahai, Q., Wang, L., Zmeureanu, R., (2014) An Analytical Model of Heat and Mass Transfer through Non-adiabatic High-rise Shafts during Fires. International Journal of Heat and Mass Transfer, 72: 585-594.
Bucking, S., Athienitis, A., Zmeureanu, R., (2014) A multi-objective redesign of a near net-zero energy solar house. ASHRAE Transactions, 120(1): 224-236. (ASHRAE Technical Paper Award).
Ng Cheng Hin, J., Zmeureanu, R., (2014) Optimization of a residential solar combisystem for minimum lifecycle cost, energy use and exergy destroyed. Solar Energy, 100: 102-113.
Du, L., Zmeureanu, R.,Stathopoulos, T., (2014) Air Infiltration through Revolving Doors. Energy and Buildings, 70: 127-134.
Bucking, S., Zmeureanu, R., Athienitis, A., (2013) Methodology for identifying the influence of design variations on building energy performance. Journal of Building Performance Simulation, 7(6): 411- 426 (Among the 10 most downloaded papers from Building & Construction journals, Taylor & Francis, in 2014).
Bucking, S., Zmeureanu, R., Athienitis, A., (2013) An information driven hybrid evolutionary algorithm for optimal design of a Net Zero Energy House. Solar Energy, 96: 128-139.
Teyssedou, G., Zmeureanu, R., Giguère, D., (2013) Benchmarking model for the ongoing commissioning of the refrigeration system of an indoor ice rink. Automation in Construction, 35: 229–237.
El shenawy, A., Zmeureanu, R., (2013) Exergy-based index for assessing the building sustainability. Building and Environment, 60: 202-210.
Monfet, D., Zmeureanu, R., (2013) Calibration of a central cooling plant model using manufacturer's data and measured input parameters and comparison with measured performance. Journal of Building Performance Simulation, 6(2):141-155.
Hugo, A., Zmeureanu, R.,(2012) Residential solar-based seasonal thermal storage system in cold climate: building envelope and thermal storage. Energies, 5(10): 3972-3985.
Tamasauskas, J., Poirier, M., Zmeureanu, R., Sunyé, R., (2012) Modeling and Optimization of a Solar Assisted Heat Pump Using Ice Slurry as a Latent Storage Material. Solar Energy, 86: 3316-3325.
Monfet, D., Zmeureanu, R., (2012) Ongoing commissioning of water-cooled electric chillers using benchmarking models. Applied Energy,92: 99-108.
Magnier, L.,Zmeureanu, R., Derome, D., (2012) Experimental assessment of the velocity and temperature distributions in an indoor displacement ventilation jet. Building and Environment, 47: 150-160.
Monfet, D.,Zmeureanu, R. (2011) Ongoing Commissioning Approach for a Central Cooling and Heating Plant. ASHRAE Transactions, 117(1).
Leckner, M.,Zmeureanu, R., (2011) Life Cycle Cost and Energy Analysis of a Net Zero Energy House with Solar Combisystem. Applied Energy, 88: 232-241.
Kapsis, K., Tzempelikos,A., Athienitis, A.K., Zmeureanu, R., (2010) Daylighting performance evaluation of a “bottom-up” motorized roller shade. Solar Energy, 84(12):2120-2131.
Bessoudo, M., Tzempelikos,A., Athienitis, A.K., Zmeureanu., R., (2010) Indoor thermal environmental conditions near glazed facades with shading devices - Part I: Experiments and building thermal model. Building and Environment, 45: 2506-2515.
Tzempelikos, A., Bessoudo,M., Athienitis, A.K., Zmeureanu., (2010) Indoor thermal environmental conditions near glazed facades with shading devices - Part II: Thermal comfort simulation and the impact of glazing and shading properties. Building and Environment Journal, 45: 2517-2525.
Hugo, A., Zmeureanu,R., Rivard, H., (2010) Solar Combisystem with Seasonal Thermal Storage. Journal of Building Performance Simulation, 3(4): 255-268.
Berubé-Dufour, M.,Derome, D., Zmeureanu, R., (2009) Analysis of thermograms for the estimation of dimensions of cracks in building envelope. Infrared Physics and Technology,52: 70-78.
Berube-Dufour, M.,Derome, D., Ouazia, B., Tardif, M., Zmeureanu, R., Potvin, A., Celis-Mercier,S., (2009) In-situ Performance of Stratified Air Distribution Systems in TwoCanadian Buildings. ASHRAE Transactions, 115(2).
Yang, L.,Zmeureanu, R., Rivard, H., (2009) Use of decision model sunder uncertainty forthe estimation of the environmental impacts of a hot water boiler. ASCE Journal of Energy Engineering, 135(2): 27-32.
Teyssedou, G.,Zmeureanu, R., Giguère, D., (2009) Thermal Response of the Concrete Slab of an Indoor Ice Rink, HVAC&R Research, 15(3): 509-523.
Zhentao, W.,Zmeureanu, R., (2009) Exergy Analysis of Variable Air Volume Systems for an Office Building. Energy Conversion and Management, 50: 387-392.
Monfet, D.,Zmeureanu, R., Charneux, R., Lemire, N., (2009) Calibration of a building energy model using measured data. ASHRAE Transactions, 115(1): 348-359.
Lin, Y., Zmeureanu,R., (2008) Computer model of the airflow and thermal phenomena inside a large dome. Energy and Buildings, 40: 1287-1296.
Zmeureanu, R.,Renaud, G., (2008) Estimation of potential impact of climate change on the heating energy use of existing houses. Energy Policy, 36: 303-310.
Lin, Y., Zmeureanu, R., (2008) Three-dimensional thermal and airflow (3D-TAF) model of a dome-covered house in Canada. Renewable Energy,33: 22-34.
Yang, L., Zmeureanu,R., Rivard, H., (2008) Comparison of environmental impacts of two residential heating systems. Building and Environment, 43(6): 1072-1081.
Wang, W., Rivard, H, Zmeureanu, R., (2006) Floor Shape Optimization for Green Building Design. Advanced Engineering Informatics,20: 363-378.
Ouzanne, M., Zmeureanu, R., Scott, J., Sunyé, R., Giguère,D., (2006) Cooling load and environmental measurements in a Canadian indoor ice rink. ASHRAE Transactions, 112(2): 38-545.
Zmeureanu, R, Wu, X.Y., (2006) Energy and exergy performance of residential heating systems with separate mechanical ventilation system. Energy,The International Journal, 32(3): 187-195.
Yang, J., Rivard, H., Zmeureanu, R., (2005) On-Line Building Energy Prediction Using Adaptive Artificial Neural Networks. Energy and Buildings, 37: 1250-1259.
Wang, W., Zmeureanu, R, Rivard, H., (2005) Applying multi-objective genetic algorithms in green building design optimization. Building and Environment, 40: 1512-1525 (award for most cited articles 2005-2008 by the publisher of Civil and Engineering Journals, Elsevier).
Wang, W., Rivard, H., Zmeureanu, R., (2004) An object-oriented framework for simulation-based green building design optimization with genetic algorithms. Advanced Engineering Informatics, 19:5-23.
Baouendi, R., Zmeureanu, R., Bradley, B., (2004) Energy & Emissions Estimator: A Prototype Tool for Designing Canadian Houses. ASCE Journal of Architectural Engineering, 11(2): 50-59.
Kassab, M., Zmeureanu, R., Derome, D., (2003) Life-cycle analysis of improvements to an existing energy-efficient house in Montreal. Architectural Science Review, 46(4): 341-352.
Solati, B., Zmeureanu, R., Haghighat, F., (2003)Correlation-based models for the simulation of energy performance of screw chillers. Energy Conversion and Management, 44: 1903-1920.
Zmeureanu, R., Iliescu, S., Dauce, D., Jacob, Y., (2003)Radiation from cold or warm windows: computer model development and experimental validation. Building and Environment, 38(3): 427-434.
Zmeureanu, R., (2002) Using artificial neural networks and minimum number of sensors to predict the COP of rooftop units. Energy, The International Journal, 27(9): 889-904.
Zmeureanu, R., Stathopoulos, T., Schopmeijer, M.E.D., Siret F., Payer, J., (2001) Measurements of air leakage of revolving doors of an institutional building. ASCE Journal of Architectural Engineering, 7(4): 131-137.
Zmeureanu, R., (2000) Cost-effectiveness of increasing the airtightness of existing houses. ASCE Journal of Architectural Engineering,6(3): 87-90.
Marceau, M., Zmeureanu, R., (2000) Nonintrusive load disaggregation computer program to estimate the energy consumption of major end-uses in residential buildings. Energy Conversion and Management Journal,41(13): 1389-1403.
Zmeureanu, R, Pasqualetto, L., (2000) Selection of energy conservation measures in a large office building using decision models under uncertainty. Architectural Science Review, 43: 63-69.