Real-Time Optimization Strategies for Building Systems-Reference-Cited by-同舟云学术

Real-Time Optimization Strategies for Building Systems

Published:2012-09-14 Issue:9 Volume:52 Page:3137-3150
ISSN:0888-5885
Container-title:Industrial & Engineering Chemistry Research
language:en
Short-container-title:Ind. Eng. Chem. Res.

Author:

Zavala Victor M.¹

Affiliation:

1. Mathematics and Computer Science Division, Argonne National Laboratory, 9700 South Cass Avenue, Argonne Illinois 60439, United States

Publisher

American Chemical Society (ACS)

Subject

Industrial and Manufacturing Engineering,General Chemical Engineering,General Chemistry

Link

https://pubs.acs.org/doi/pdf/10.1021/ie3008727

Reference37 articles.

1. Ma, Y., Borrelli, F., Hencey, B., Packard, A., and Bortoff, S.Model predictive control of thermal energy storage in building cooling systems. 2009.

2. Oldewurtel, F., Parisio, A., Jones, C., Morari, M., Gyalistras, D., Gwerder, M., Stauch, V., Lehmann, B., and Wirth, K.Energy efficient building climate control using stochastic model predictive control and weather predictions. 2010.

3. Evaluation of optimal control for active and passive building thermal storage

4. On-line economic optimization of energy systems using weather forecast information

5. Ward, J. K.; Wall, J.; West, S.; de Dear, R.Beyond comfort—Managing the impact of hvac control on the outside world. In Proceedings of Conference: Air Conditioning and the Low Carbon Cooling Challenge, Windsor, UK, July 27-19, 2008.

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