dc.contributor.author |
Mei, Jun
|
|
dc.contributor.author |
Xia, Xiaohua
|
|
dc.date.accessioned |
2019-07-09T13:03:44Z |
|
dc.date.issued |
2019-09 |
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dc.description.abstract |
An autonomous hierarchical distributed control (AHDC) strategy is proposed for a building multi-evaporator air conditioning (ME A/C) system in this paper. The objectives are to minimize peak demand and energy costs, and to reduce communication resources, computational complexity and conservativeness while maintaining both thermal comfort and indoor air quality (IAQ) in acceptable ranges. The building consists of multiple connected rooms and zones. The proposed control strategy consists of two layers. The upper layer is an open loop optimizer, which only collects local measurement information and solves a distributed steady state resource allocation problem to autonomously and adaptively generate reference points, for low layer controllers. This is achieved by optimizing the demand and energy costs of a multi-zone building ME A/C system under a time-of-use (TOU) rate structure, while meeting the requirements of each zone’s thermal comfort and IAQ within comfortable ranges. The lower layer also uses local information to track the trajectory references, which are calculated by the upper layer, via a distributed model predictive control (DMPC) algorithm. The control strategy is distributed at both layers because they use only local information from the working zone and its neighbors. Simulation results are provided to illustrate the advantages of the designed control schemes. |
en_ZA |
dc.description.department |
Electrical, Electronic and Computer Engineering |
en_ZA |
dc.description.embargo |
2020-09-01 |
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dc.description.librarian |
hj2019 |
en_ZA |
dc.description.uri |
http://www.elsevier.com/locate/conengprac |
en_ZA |
dc.identifier.citation |
Mei, J. & Xia, X. 2019, 'Distributed control for a multi-evaporator air conditioning system', Control Engineering Practice, vol. 90, pp. 85-100. |
en_ZA |
dc.identifier.issn |
0967-0661 (print) |
|
dc.identifier.issn |
1873-6939 (online) |
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dc.identifier.other |
10.1016/j.conengprac.2019.06.017 |
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dc.identifier.uri |
http://hdl.handle.net/2263/70641 |
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dc.language.iso |
en |
en_ZA |
dc.publisher |
Elsevier |
en_ZA |
dc.rights |
© 2019 Elsevier Ltd. All rights reserved. Notice : this is the author’s version of a work that was accepted for publication in Control Engineering Practice. Changes resulting from the publishing process, such as peer review, editing, corrections, structural formatting, and other quality control mechanisms may not be reflected in this document. A definitive version was subsequently published in Control Engineering Practice, vol. 90, pp. 85-100, 2019. doi : 10.1016/j.conengprac.2019.06.017. |
en_ZA |
dc.subject |
Autonomous hierarchical distributed control (AHDC) |
en_ZA |
dc.subject |
Multi-evaporator air conditioning (ME A/C) |
en_ZA |
dc.subject |
Indoor air quality (IAQ) |
en_ZA |
dc.subject |
Distributed model predictive control (DMPC) |
en_ZA |
dc.subject |
Time-of-use (TOU) |
en_ZA |
dc.subject |
Two-layer distributed controls |
en_ZA |
dc.subject |
Model predictive control |
en_ZA |
dc.subject |
Energy/demand reducing |
en_ZA |
dc.subject |
Resource allocation problem |
en_ZA |
dc.subject |
Distributed control |
en_ZA |
dc.subject |
Control strategies |
en_ZA |
dc.subject |
Communication resources |
en_ZA |
dc.subject |
Thermal comfort |
en_ZA |
dc.subject |
Evaporators |
en_ZA |
dc.subject |
Air quality |
en_ZA |
dc.subject |
Air conditioning |
en_ZA |
dc.title |
Distributed control for a multi-evaporator air conditioning system |
en_ZA |
dc.type |
Postprint Article |
en_ZA |