Energy Management for Building Systems [back]

 
    The Building Technologies Group at Argonne National Laboratory is currently developing and testing novel concepts on real-time energy management (EM) for building systems. In particular, we are interested in developing proactive EM systems that can help commercial buildings become active participants in next-generation electricity markets. Proactive EM systems enable the anticipation of  weather and occupancy trends and enable the prediction of HVAC loads and shedding potential. This information enables the dynamic coordination of electricity prices and the thermal mass of the building. In conjuction with BuildingIQ, we are developing and testing some of our concepts in real commercial buildings. In this website you will find some of our reports and findings.  As part of this vision, we are also developing uncertainty quantification techniques for occupancy estimation and measurement and verification.



Energy Savings with Proactive EM System Deployment at Argonne's APS Office Building


CO2 Profiles at Argonne's APS Office Building


Publications
  1. Zavala, V. M. Inference of Building Occupancy Signals Using Moving Horizon Esitmation and Fourier Regularization.  Submitted, 2012. [pdf]
  2. Heo,Y.; Graziano, D.; Zavala, V.M.; Dickinson, P.; Kamrath, M. and Kirshenbaum, M.;  Cost-effective Measurement and
    Verification Method for Determining Energy Savings under Uncertainty.
    ASHRAE Annual Conference, 2013. [pdf]
  3. Heo, Y. and Zavala, V. M.  Gaussian Process Modeling for Measurement and Verification of Building Energy Savings.              Energy & Buildings, 53, pp.7-18, 2012. [pdf]
  4. Zavala, V.M. Real-Time Resolution of Conflicting Objectives in Building Energy Management: An Utopia-Tracking Approach. Simbuild, 2012. [pdf]
  5. Zavala, V. M.  Real-Time Optimization Strategies for Building Systems. In Press, Ind.Eng.Chem. Res. 2012. [pdf] [code]
  6. Zavala, V. M., Skow, D., Celinski, T. and P. Dickinson. Techno-Economic Evaluation of a Next-Generation Building Energy Management System. Argonne National Laboratory, ANL/MCS-TM-313, 2011. [pdf]
  7. Zavala, V. M.; Constantinescu, E. M.; Krause, T.; and Anitescu, M.  On-Line Economic Optimization of Energy Systems Using Weather Forecast Information. Journal of Process Control, 19(10), pp. 1725-1736, 2009. [pdf]
  8. Zavala, V. M.;  Wang, J.; Leyffer,  S.; Constantinescu, E.M.; Anitescu, M. and Conzelmann, G.  Proactive Energy Management for Next-Generation Building Systems. SimBuild, 2010. [pdf]
  9. Zavala, V. M.;  Constantinescu, E.M. and Anitescu, M.  Economic Impacts of Advanced Weather Forecasting on Energy System Operations. IEEE PES Conference on Innovative Smart Grid Technologies, 2010. [pdf]
Presentations
  1. Real-Time Optimization for Energy Management in Commercial Buildings, MCS Seminar, 2011 [pdf]
  2. Proactive Energy Management for Next-Generation Building Systems, SimBuild, 2010  [pdf]