Theory and applications of HVAC control systems – A review of model predictive control (MPC). Afram, A. & Janabi-Sharifi, F. Building and Environment, 72:343–355, February, 2014. ![Theory and applications of HVAC control systems – A review of model predictive control (MPC) [link]](https://bibbase.org/img/filetypes/link.svg "link")
Paper doi abstract bibtex This work presents a literature review of control methods, with an emphasis on the theory and applications of model predictive control (MPC) for heating, ventilation, and air conditioning (HVAC) systems. Several control methods used for HVAC control are identified from the literature review, and a brief survey of each method is presented. Next, the performance of MPC is compared with that of other control approaches. Factors affecting MPC performance (including control configuration, process type, model, optimization technique, prediction horizon, control horizon, constraints, and cost function) are elaborated using specific examples from the literature. The gaps in MPC research are identified, and future directions are highlighted.
@article{afram_theory_2014,
title = {Theory and applications of {HVAC} control systems – {A} review of model predictive control ({MPC})},
volume = {72},
issn = {0360-1323},
url = {http://www.sciencedirect.com/science/article/pii/S0360132313003363},
doi = {10.1016/j.buildenv.2013.11.016},
abstract = {This work presents a literature review of control methods, with an emphasis on the theory and applications of model predictive control (MPC) for heating, ventilation, and air conditioning (HVAC) systems. Several control methods used for HVAC control are identified from the literature review, and a brief survey of each method is presented. Next, the performance of MPC is compared with that of other control approaches. Factors affecting MPC performance (including control configuration, process type, model, optimization technique, prediction horizon, control horizon, constraints, and cost function) are elaborated using specific examples from the literature. The gaps in MPC research are identified, and future directions are highlighted.},
urldate = {2018-04-09},
journal = {Building and Environment},
author = {Afram, Abdul and Janabi-Sharifi, Farrokh},
month = feb,
year = {2014},
keywords = {Applications, Comparison, HVAC control review, Model predictive control (MPC), Performance, Theory},
pages = {343--355},
}
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