Experimental study of a model predictive control system for active chilled beam (ACB) air-conditioning system

Yang, Shiyu; Wan, Man Pun; Ng, Bing Feng; Dubey, Swapnil; Henze, Gregor P.; Khalid, Suleman; Baskaran, K.

doi:10.1016/j.enbuild.2019.109451

Cited by 30 publications

(5 citation statements)

References 21 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The constraints of thermal comfort and humidity ratio are softened by the slack variable 𝜖 and more details could be found in reference [31] and [32].…”

Section: Mpc Controllersmentioning

confidence: 99%

“…Yang et al [31] developed a MPC using a linearized PMV model for optimizing both building energy efficiency and indoor thermal comfort. The MPC was capable of improving thermal comfort, meanwhile, achieving up to 20% energy savings as compared to a conventional BMS in a field test [32]. In addition, Ascione et al [33] developed a MPC to optimize indoor thermal comfort based on a genetic algorithm that significantly reduced the duration of thermal discomfort.…”

mentioning

confidence: 99%

See 1 more Smart Citation

Experimental study of model predictive control for an air-conditioning system with dedicated outdoor air system

Yang

Wan

et al. 2020

Applied Energy

Self Cite

View full text Add to dashboard Cite

“…The constraints of thermal comfort and humidity ratio are softened by the slack variable 𝜖 and more details could be found in reference [31] and [32].…”

Section: Mpc Controllersmentioning

confidence: 99%

mentioning

confidence: 99%

Experimental study of model predictive control for an air-conditioning system with dedicated outdoor air system

Yang

Wan

et al. 2020

Applied Energy

Self Cite

View full text Add to dashboard Cite

“…Latif et al [15] concluded that most of the studies on ACBs are carried out for large-scale open-plan office configurations. These office types have greater occupant density and may require multiple ACBs to meet a sensible cooling demand [16]. A typical ACB generally consists of a primary air plenum, mixing chamber, nozzles, and a heat exchanger.…”

Section: Introductionmentioning

confidence: 99%

Precision Ventilation for an Open-Plan Office: A Study of Variable Jet Interaction between Two Active Chilled Beams

et al. 2022

View full text Add to dashboard Cite

Precision ventilation is developed to achieve thermal comfort for occupants in an office by creating micro-climate zones. The present study aims to achieve individual thermal comfort for occupants with different metabolic rates by using higher airspeeds for enhancing heat transfer. The variable jet interaction between two ACBs with JetCone adjustments cause higher velocity jets to reach different regions of the occupied zone. The colliding jets from the center of a thermal isolated room were moved towards different zones in an office configuration with a constant room temperature of 23 °C. This study was conducted for five different cases in a room divided into four zones according to occupants’ metabolic rates. The experimental and CFD results show that occupants facing symmetrical airflow distribution and with a constant 1.2 metabolic rate (Case 1) had a similar predicted mean vote (PMV) index. The zones with higher-metabolic-rate occupants, i.e., 1.4 met and 1.6 met in cases 2 and 3 were exposed to air velocities up to 0.4 and 0.5 m/s, respectively. In case 4, the air velocity in the single zone with 1.6 met occupants was raised to 0.6 m/s by targeted airflow distribution achieved by adjusting JetCones. These occupants with higher metabolic rates were kept thermally neutral, in the −0.5 to +0.5 PMV range, by pushing the high velocity colliding jets from the center towards them. In case 5, the results showed that precision ventilation can maintain the individual thermal comfort of up to three different zones (in the same office space) by exposing the occupants with metabolic rates of 1.2, 1.4, and 1.6 met to airspeeds of 0.15, 0.45, and 0.55 m/s, respectively.

show abstract

“…Starting with high theoretical energy saving potential, of up to 70% in particular applications [2]- [4], MPC approaches resulted with experimentally validated building energy efficiency increase by 17% in a comprehensive building automation case study [5], 29% of heating, ventilation, and air conditioning (HVAC) electricity and 63% of thermal energy savings in [6], up to 20% electricity savings in [7], or recently with 25% increased energy efficiency and 72% improved comfort by combining decision trees approach for modeling and MPC for optimal decisions [8]. In addition to zone climate control, the MPC approach adds to increased savings of 13% when applied to heat pump [9], with load shifting by up to 61% [10], [11] and to peak electricity power reduction by 35-72% [2].…”

Section: Introductionmentioning

confidence: 99%

Modular Hierarchical Model Predictive Control for Coordinated and Holistic Energy Management of Buildings

Vašak

Banjac

Hure

et al. 2021

IEEE Trans. Energy Convers.

View full text Add to dashboard Cite

Modular building energy management strategy based on a three-level hierarchical model predictive control is proposed in the paper. Building zones, central medium conditioning and microgrid subsystems are controlled independently by individual linear and nonlinear model predictive controllers, and further integrated together as levels of hierarchical coordination control structure based on price-consumption information exchange. The three-level coordination provides a holistic energy management strategy and enables significant demand response ancillary services for buildings as prosumers, while retaining the independence of required expertise in very different building subsystems. The approach is applied for daily operation scheduling of a full-scale building consisting of 248 offices. Models of building subsystems are obtained by identification procedures on measurement data. Compared to rule-based control, detailed realistic simulations show that the overall building operation cost for typical days in summer is reduced by 9-12% for level-by-level energy-optimal and by 15-24% for price-optimal, coordinated operation. The application of predictive control in the proposed way also improves the indoor comfort substantially.

show abstract

Experimental study of a model predictive control system for active chilled beam (ACB) air-conditioning system

Cited by 30 publications

References 21 publications

Experimental study of model predictive control for an air-conditioning system with dedicated outdoor air system

Experimental study of model predictive control for an air-conditioning system with dedicated outdoor air system

Precision Ventilation for an Open-Plan Office: A Study of Variable Jet Interaction between Two Active Chilled Beams

Modular Hierarchical Model Predictive Control for Coordinated and Holistic Energy Management of Buildings

Contact Info

Product

Resources

About