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HVAC Control in the New Millennium.pdf - HVAC.Amickracing

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<strong>Control</strong> Technology, Microelectronics and NanotechnologySupervisory FunctionsThe use of digital computers and <strong>the</strong>ir capability to perform complexma<strong>the</strong>matical calculations and make logical decisions provide <strong>the</strong>opportunity to improve <strong>the</strong> performance of any control application. Theneed for supervisory control results from <strong>the</strong> fact that all processes areaffected by changes. These changes are <strong>in</strong> <strong>the</strong> form of disturbances.These disturbances may come from many sources. Examples of disturbances<strong>in</strong>clude ambient conditions, heater and heat exchanger foul<strong>in</strong>gand economics. The supervisory control function can also be used offl<strong>in</strong>eas a valuable simulation tool for evaluat<strong>in</strong>g what-if scenarios.Alarms are based on models utiliz<strong>in</strong>g <strong>the</strong> present and past historyof <strong>the</strong> data and <strong>the</strong> control commands. Anticipat<strong>in</strong>g alarm conditions <strong>in</strong>advance is a vital function of supervisory control. The supervisory computertypically determ<strong>in</strong>es <strong>the</strong> operat<strong>in</strong>g constra<strong>in</strong>ts, such as flood<strong>in</strong>g orsurge conditions. Basic material balance, energy balance, or heat transfercalculations are utilized for model creation.The computation of <strong>the</strong> model is not necessarily a s<strong>in</strong>gle-path computation.It may require iterative computations. This type of computationis not usually performed at <strong>the</strong> DCS level.The present operat<strong>in</strong>g state is determ<strong>in</strong>ed based on <strong>the</strong> on-l<strong>in</strong>e,real-time <strong>in</strong>formation from <strong>the</strong> DCS us<strong>in</strong>g temperatures, pressures ando<strong>the</strong>r characteristics. This determ<strong>in</strong>es <strong>the</strong> desired state accord<strong>in</strong>g to <strong>the</strong>constra<strong>in</strong>ts and optimization criteria. An on-l<strong>in</strong>e <strong>in</strong>formation systemmay <strong>in</strong>clude data collection, data reconciliation, data storage and retrieval.The optimum control strategy is based on <strong>the</strong> on-l<strong>in</strong>e, real-time<strong>in</strong>formation. The control strategy commands will follow <strong>the</strong> optimumpath such that <strong>the</strong> objectives of m<strong>in</strong>imum cost and m<strong>in</strong>imum energy areobta<strong>in</strong>ed.<strong>Control</strong> and OptimizationSupervisory control can <strong>in</strong>clude calculation of <strong>the</strong> present state of<strong>the</strong> process <strong>in</strong> terms of efficiency and calculation of new conditions, <strong>in</strong>terms of setpo<strong>in</strong>ts which will meet <strong>the</strong> requirements of <strong>the</strong> objective function.The objective function can maximize efficiency through fuel costs.The tools needed to perform supervisory control are a model andan optimization or maximization algorithm. The model can range from©2001 by The Fairmont Press, Inc. All rights reserved.

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