Reduced-order modeling and simulated annealing optimization for efficient residential building utility bill calibration

Author:

Robertson Joseph J.,Polly Ben J.,Collis Jon M.

Funder

U.S. Department of Energy

National Renewable Energy Laboratory

Alliance Partner University Program

National Renewable Energy Laboratory (NREL)

Colorado School of Mines

U.S. Department of Energy Building Technologies Program

Publisher

Elsevier BV

Subject

Management, Monitoring, Policy and Law,Mechanical Engineering,General Energy,Building and Construction

Reference29 articles.

1. Inverse Modeling Toolkit (1050-RP): numerical algorithms for best-fit variable-base degree-day and change-point models;Kissock;ASHRAE Trans,2003

2. Lee SU, Claridge DE. Automatic calibration of a building energy simulation model using a global optimization program. In: Proceedings of the second international conference for enhanced building operations, Richardson, TX, 2002; 2002.

3. New J, Sanyal J, Bhandari MS, Shrestha SS. Autotune E+ building energy models. In: Proceedings of the fifth national SimBuild of IBPSA-USA; 2012.

4. Greely K. Performance systems development. Increasing accuracy of modeled savings through utility bill calibration; 2011. .

5. Calibration and uncertainty analysis for computer models – a meta-model based approach for integrated building energy simulation;Manfren;Appl Energy,2013

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