Title

Reheat optimization of the variable-air-volume box

Document Type

Article

Peer Reviewed

1

Publication Date

1-1-2010

Journal/Book/Conference Title

Energy

Abstract

A data-driven approach for optimizing the reheat process in a variable-air-volume box is presented. Data-mining algorithms derive temporal predictive models from the reheat process data. The bi-objective model formed is solved with a modified particle swarm optimization algorithm. To increase computational efficiency, two levels of non-dominated solutions are introduced while solving the optimization model. A model predictive control strategy is used to generate controls minimizing the reheat output while maintaining the thermal comfort at an acceptable level. 2010 Elsevier Ltd. All rights reserved.

Keywords

Sustainability

Published Article/Book Citation

Energy, 35:5 (2010) pp.1997-2005.

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URL

https://ir.uiowa.edu/mie_pubs/170