Paper Conference

Proceedings of SimBuild Conference 2006: 2nd conference of IBPSA-USA


A Multiple-Building Optimization Scheme Based on Statistical Building-Load Models

Leslie K. Norford, Hai-Yun Xing
Building Technology Program, Department of Architecture, Massachusetts Institute of Technology, Cambridge, MA 02139, Credit Suisse, New York, NY

Abstract: This paper presents an optimization process for multiple-building load aggregation based on statistical models of building dynamics. The aggregation process is modeled as a central optimizer and participating buildings as unit simulators. By learning from wholebuilding simulation results, unit simulators describe individual buildings' base-load profiles and responses to control parameter changes. The optimizer makes supervisory control decisions based on a centralized objective function which takes inputs from individual simulators. A non-linear mathematical optimization problem is formulated and solved using an interior-point-method commercial solver. Results are compared to simple cases for which optimal or near-optimal results are relatively easy to find. The expansion of the analytical framework is discussed.
Pages: 49 - 57