Towards energy efficient operation of Heating, Ventilation and Air Conditioning systems via advanced supervisory control design

A. Oswiecinska; J. Hibbs; Ivan Zajic; Keith Burnham

doi:10.1088/1742-6596/659/1/012030

Towards energy efficient operation of Heating, Ventilation and Air Conditioning systems via advanced supervisory control design

A. Oswiecinska, J. Hibbs, Ivan Zajic, Keith Burnham

School of Mechanical, Aerospace and Automotive Engineering

Research output: Contribution to journal › Article

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Abstract

This paper presents conceptual control solution for reliable and energy efficient operation of heating, ventilation and air conditioning (HVAC) systems used in large volume building applications, e.g. warehouse facilities or exhibition centres. Advanced two-level scalable control solution, designed to extend capabilities of the existing low-level control strategies via remote internet connection, is presented. The high-level, supervisory controller is based on Model Predictive Control (MPC) architecture, which is the state-of-the-art for indoor climate control systems. The innovative approach benefits from using passive heating and cooling control strategies for reducing the HVAC system operational costs, while ensuring that required environmental conditions are met.

Original language	English
Article number	012030
Journal	Journal of Physics: Conference Series
Volume	659
DOIs	https://doi.org/10.1088/1742-6596/659/1/012030
Publication status	Published - 2015

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Content from this work may be used under the terms of the Creative Commons Attribution 3.0 licence. Any further distribution of this work must maintain attribution to the author(s) and the title of the work, journal citation and DOI.

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abstract = "This paper presents conceptual control solution for reliable and energy efficient operation of heating, ventilation and air conditioning (HVAC) systems used in large volume building applications, e.g. warehouse facilities or exhibition centres. Advanced two-level scalable control solution, designed to extend capabilities of the existing low-level control strategies via remote internet connection, is presented. The high-level, supervisory controller is based on Model Predictive Control (MPC) architecture, which is the state-of-the-art for indoor climate control systems. The innovative approach benefits from using passive heating and cooling control strategies for reducing the HVAC system operational costs, while ensuring that required environmental conditions are met. ",

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