Research interests:

    • Campus-scale energy modeling and load shaping: Measuring, modeling and predicting peak shaving in campus buildings; Low-order gray box modeling with smart meter data;  Use of drones for rapid energy model generation;  Bottom-up campus and community-scale modeling.
    • Laboratory Ventilation and Dispersion Modeling: Improvement of ASHRAE model for laboratory exhaust dispersion; Full-scale validation of dilution prediction models; campus energy savings via lab exhaust turndown.
    • Smart Air Quality Control in Buildings: Development of data-driven optimized ventilation control strategies in homes and commercial buildings; low-cost air quality sensors for integration into smart building control systems; investigations into use of ventilation for load shifting in commercial buildings; 
    • Sorbent-based dehumidification, air conditioning and passive air cleaning. Membrane based 100% solar air conditioning; use of Lithium Chloride liquid desiccants for humidity and gas-phase pollutant control in greenhouses; use of dehumidification sorbents for simultaneous gas-phase air cleaning


1.  Building Energy Living Lab Digital Twin Pilot, PI with Rongjun Qin, funded by Engie/OSEP.

2. ASHRAE 1756-RP Evaluation of particle sensors for indoor air quality monitoring and smart building systems, funded by ASHRAE, co-PI with Andy May, Ohio State.

3.  ASHRAE 1823-RP Improved Exhaust-to-Intake Dilution (Concentration) Calculations, funded by ASHRAE, PI.

4.  Collaborative Development of 100% Solar-Driven Adsorption Air Conditioner, funded by OSU Connect and Collaborate Grants Program, PI with Casey Wade and W.S. Winston Ho, Ohio State; and Daikin North America LLC.

5. Liquid desiccant humidity control solutions for indoor agricultural facilities, funded by SEEDS: The CFAES Research Competitive Grants Program, PI with Peter Ling, Ohio State; and Agam Greenhouse Energy Systems, Ltd.

6.  Sustainability of Controlled Environment Plant Production – Energy, Environment & Employment, co-PI with Peter Ling (PI), funded by USDA-NIFA.