Publications

2024

• E.N. Pergantis, Priyadarshan, N. Al Theeb, P. Dillhon, J.P. Ore, D. Ziviani, E.A. Groll and K.J. Kircher. Field demonstration of predictive heating control for an all-electric house in a cold climate. Applied Energy (2024).
• D. Mah, A. Tzempelikos and K.J. Kircher. Real-time detection of internal and solar gains toward demand-driven building control using deep learning. ASHRAE Winter Conference (2024).
• E.N. Pergantis, L.D. Reyes Premer, Priyadarshan, A.H. Lee, P. Dillhon, D. Ziviani, E.A. Groll and K.J. Kircher. Latent and sensible model predictive controller demonstration in a house during cooling operation. ASHRAE Winter Conference (2024).
• Priyadarshan, E.N. Pergantis, C. Crozier, K. Baker and K.J. Kircher. EDGIE: A simulation test-bed for evaluating the impacts of building and vehicle electrification on distribution grids. Hawai’i International Conference on System Sciences (2024).

2023

• E.N. Pergantis, A.S. Sangamnerkar, Priyadarshan, J.P. Ore, P. Dillhon, D. Ziviani, E.A. Groll and K.J. Kircher. Sensors, storage and algorithms for practical optimal controls in residential buildings. ASHRAE Annual Conference (2023).
• A.O. Aderibole, K.J. Kircher, E.K. Saathoff, S.B. Leeb and L.K. Norford. Adaptive power line communication for low-data-rate control and sensing. IEEE Transactions on Power Delivery (2023).

2022

• A.O. Aderibole, E.K. Saathoff, K.J. Kircher, A.W. Langham, L.K. Norford and S.B. Leeb. Characterizing low-data-rate power line communication channels. IEEE Transactions on Instrumentation and Measurement (2022).
• A.O. Aderibole, K.J. Kircher, L.K. Norford and S.B. Leeb. Distributed load control using reliable low-bandwidth power line communication. IEEE Access (2022).
• Z. Zhang, K.J. Kircher, Y. Cai, J.G. Brearly, D. Birge and L.K. Norford. Mitigating peak load and heat stress under heat waves by optimizing thermostat setpoint and fan speed schedules. Journal of Building Performance Simulation (2022).
• K.J. Kircher, A.O. Aderibole, L.K. Norford and S.B. Leeb. Distributed peak shaving for small aggregations of cyclic loads. IEEE Transactions on Power Delivery (2022).

2021

• A.O. Aderibole, E.K. Saathoff, K.J. Kircher, S.B. Leeb and L.K. Norford. Power line communication for low-bandwidth control and sensing. IEEE Transactions on Power Delivery (2021).
• K.J. Kircher, Y. Cai, L.K. Norford and S.B. Leeb. Controlling big, diverse, nonlinear load aggregations for grid services by adjusting device setpoints. IEEE Conference on Decision and Control (2021).
  • Slides
  • Video
• Y. Cai, J. Burek, S. Das, J.R. Gregory, L.K. Norford, J. Wang and K.J. Kircher. Reducing greenhouse gas emissions by optimizing room temperature set-points. International Conference on Machine Learning (2021): Workshop on Tackling Climate Change with Machine Learning.
• K.J. Kircher and K.M. Zhang. Heat purchase agreements could lower barriers to heat pump adoption. Applied Energy 286 (2021).

2020

• K.J. Kircher, W. Schaefer and K.M. Zhang. A computationally efficient, high-fidelity testbed for building climate control. ASME Journal of Engineering for Sustainable Buildings and Cities 2 (2020): 1–22.

2019

• K.J. Kircher. Heat pump aggregation, optimization and control. PhD thesis, Cornell University (2019).
• Z. Lee, K. Gupta, K.J. Kircher and K.M. Zhang. Mixed-integer model predictive control of variable-speed heat pumps.  Energy and Buildings 198 (2019): 75–83.
• K.J. Kircher and K.M. Zhang. Convexity and monotonicity in nonlinear optimal control under uncertainty. arXiv pre-print 1904.00987 (2019).

Pre-2019

• K.J. Kircher and K.M. Zhang. Sample-average model predictive control of uncertain linear systems. IEEE Conference on Decision and Control (2016).
  • Slides
• K.J. Kircher and K.M. Zhang. Testing building controls with the BLDG toolbox. American Control Conference (2016). Invited paper.
  •  Code
• K.J. Kircher and K.M. Zhang. On the lumped capacitance approximation accuracy in RC network building models. Energy and Buildings 104 (2015): 454–462.
  • Code
• S.N. Palacio, K.J. Kircher and K.M. Zhang. On the feasibility of providing power system spinning reserves from thermal storage. Energy and Buildings 104 (2015): 131–138.
• K.J. Kircher and K.M. Zhang. Model predictive control of thermal storage for demand response. American Control Conference (2015). Invited paper.
  • Slides
  • Code
• K.J. Kircher, G. Ghatikar, S. Greenberg, D. Watson, R. Diamond, D. Sartor, C. Federspeil, A. McEachern and T. Owen. Toward the holy grail of perfect information: Lessons learned from implementing an energy information system in a commercial building. ACEEE Summer Study on Energy Efficiency in Buildings (2010).
• P.A. Mathew, R. Clear, K.J. Kircher, T. Webster, K.H. Lee and T. Hoyt. Advanced benchmarking for complex building types: Laboratories as an exemplar. ACEEE Summer Study on Energy Efficiency in Buildings (2010).
• K.J. Kircher, X. Shi, S. Patil and K.M. Zhang. Cleanroom energy efficiency strategies: Modeling and simulation. Energy and Buildings 42 (2010): 282–289.