Transactions of the Institute of Systems, Control and Information Engineers
Online ISSN : 2185-811X
Print ISSN : 1342-5668
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Robust Optimal Operation for Building HVAC Systems with Uncertainty in Demand Prediction
Junya NishiguchiAtsushi KurosakiChosei KasedaSatoshi KitayamaMasao ArakawaHirotaka NakayamaYeboon Yun
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2014 Volume 27 Issue 5 Pages 200-206

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Abstract

To promote more effective use of the thermal storage systems, optimal operation scheduling of heat source facilities with thermal load prediction is indispensable. Although conventional scheduling method considered the predicted load as a true value, load prediction error is inescapable and could lead to deterioration of actual operational cost. In this paper we propose a robust optimal operation method to reduce negative effect of the prediction uncertainty. The effectiveness of the proposed method is evaluated with the simulation model describing the actual building HVAC (Heating, Ventilating and Air-Conditioning) systems.

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© 2014 The Institute of Systems, Control and Information Engineers
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