2015
DOI: 10.1080/17512549.2015.1079240
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Model predictive control for commercial buildings: trends and opportunities

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Cited by 44 publications
(24 citation statements)
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“…For example, the MPC formulation can be used to control and optimize residential appliances [11][12][13], the building interaction with a smart grid or micro-grid [14][15][16][17][18][19], or an on-site renewable energy generation system. More broadly, MPC algorithms found successful application in all of those implementations that require management of energy resources for building prosumers under designated constraints and dynamic energy pricing models [20][21][22].…”
Section: Introductionmentioning
confidence: 99%
“…For example, the MPC formulation can be used to control and optimize residential appliances [11][12][13], the building interaction with a smart grid or micro-grid [14][15][16][17][18][19], or an on-site renewable energy generation system. More broadly, MPC algorithms found successful application in all of those implementations that require management of energy resources for building prosumers under designated constraints and dynamic energy pricing models [20][21][22].…”
Section: Introductionmentioning
confidence: 99%
“…The intent of this work is to assess the performance of viable control solutions for real-time control of smart windows. The most promising rule-based controllers [15] and a model based predictive controller [16] are proposed as applicable real-time control strategies and compared to a quasi-optimal reference case based on genetic algorithms.…”
Section: Introductionmentioning
confidence: 99%
“…To increase building energy efficiency, smart control strategies such as model predictive control (MPC) have been gaining a lot of interest recently [1]. Different studies revealed that advanced control of HVAC&R systems has the potential to produce energy savings compared to more traditional control strategies such as PIDs and rulebased controllers [1]. Additionally, these control strategies are particularly well suited for demand side or peak demand management.…”
Section: Introductionmentioning
confidence: 99%