期刊
ENERGY AND BUILDINGS
卷 133, 期 -, 页码 79-87出版社
ELSEVIER SCIENCE SA
DOI: 10.1016/j.enbuild.2016.09.049
关键词
Event-driven optimization; Real-time optimization; HVAC systems; Energy efficiency; Computational efficiency
资金
- Research Grants Council of the Hong Kong Special Administrative Region, China [124012]
Real-time optimization (RTO) has been developed to improve the cost and/or energy efficiency of complex heating, ventilation and air-conditioning (HVAC) systems. In current literature, almost all of the developed real-time optimization methods belong to the type of time-driven optimization, in which the action of optimization is triggered by time. As optimization should be done when the system operating conditions experience a change that is large enough to cause current operational setting not optimal any more, optimization strategies should recognize 'significant' changes and perform optimization when necessary. Since the time-driven optimization is a periodic mechanism in nature while those 'significant' changes may not be periodic, the time-driven optimization cannot capture 'significant' changes and do the optimization promptly. Therefore, this paper proposes an event-driven optimization (EDO) for complex HVAC systems, the key idea of which is to use event rather than time to trigger the action of optimization. A systematic event-driven optimization method is illustrated, where its main tasks, including event definition and event identification, will be discussed. The proposed method will be compared with a conventional time-driven method using case studies, through which the main advantages of the proposed method will be identified, (C) 2016 Elsevier B.V. All rights reserved.
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