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Development of event-driven optimal control for central air-conditioning systems

journal contribution
posted on 20.03.2020 by Jin Hou, Xiaowei Luo, Gongsheng Huang, Linfeng Zhang, Zhun Jerry Yu, Mahroo Eftekhari
Event-driven optimal control was recently developed for central air-conditioning systems to speed up the response of optimal control to irregular changes in the system optioning conditions. In a time-driven paradigm usually, the optimization is carried out with a constant frequency, however the event-driven optimal control triggers optimization actions by events, which will be essentially defined to catch up with the irregular changes. Considering that the occurrence of events should imply the necessity to execute optimization, this paper investigates the necessity of optimization actions, based on which a new method to develop event-driven optimal control law is proposed. This can naturally lead to the establishment of an event-action map. This map indicates that not all the decision variables should be optimized when an event
occurs, different from other methods that require optimizing all decision variables. The merits of the new method were also demonstrated using several case studies.

Funding

Research Grants Council of the Hong Kong Special Administrative Region, China (Project No. 11208918)

History

School

  • Architecture, Building and Civil Engineering

Published in

Journal of Building Performance Simulation

Volume

13

Issue

3

Pages

378 - 390

Publisher

Taylor and Francis

Version

AM (Accepted Manuscript)

Rights holder

© 2020 International Building Performance Simulation Association (IBPSA)

Publisher statement

This is an Accepted Manuscript of an article published by Taylor & Francis in Journal of Building Performance Simulation on 17 Mar 2020, available online: https://doi.org/10.1080/19401493.2020.1737231

Acceptance date

24/02/2020

Publication date

2020-03-17

Copyright date

2020

ISSN

1940-1493

eISSN

1940-1507

Language

en

Depositor

Dr Mahroo Eftekhari. Deposit date: 17 March 2020

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